import os
import re
import sys
import json
import time
import atexit
import signal
import inspect
import requests
import platform
import subprocess
import threading
import soundfile as sf
from pathlib import Path
from datetime import datetime, timedelta
from requests.exceptions import RequestException, ConnectionError
"""
Note: The following function names are reserved for TGWUI integration.
When running under text-generation-webui, these functions will be imported from
system/TGWUI Extension/script.py when in TGWUI's Python environment/extensions dir.

Reserved names:
- output_modifier
- input_modifier
- state_modifier
- ui
- history_modifier
- remove_tts_from_history
- toggle_text_in_history
"""
TGWUI_AVAILABLE = False
def output_modifier(string, state):
    """Modify chat output (required for TGWUI)"""
    from system.TGWUI_Extension.script import output_modifier as tgwui_output_modifier
    return tgwui_output_modifier(string, state)
def input_modifier(string, state):
    """Modify chat input (required for TGWUI)"""
    from system.TGWUI_Extension.script import input_modifier as tgwui_input_modifier
    return tgwui_input_modifier(string, state)
def state_modifier(state):
    """Modify chat state (required for TGWUI)"""
    from system.TGWUI_Extension.script import state_modifier as tgwui_state_modifier
    return tgwui_state_modifier(state)
def ui():
    """Create extension UI (required for TGWUI)"""
    try:
        from system.TGWUI_Extension.script import ui as tgwui_ui
        return tgwui_ui()
    except ImportError:
        import gradio as gr
        # Return empty interface if not in TGWUI
        return gr.Blocks()
def history_modifier(history):
    """Modify chat history (required for TGWUI)"""
    from system.TGWUI_Extension.script import history_modifier as tgwui_history_modifier
    return tgwui_history_modifier(history)
def remove_tts_from_history(history):
    """Remove TTS from history (required for TGWUI)"""
    from system.TGWUI_Extension.script import remove_tts_from_history as tgwui_remove_tts
    return tgwui_remove_tts(history)
def toggle_text_in_history(history):
    """Toggle text in history (required for TGWUI)"""
    from system.TGWUI_Extension.script import toggle_text_in_history as tgwui_toggle_text
    return tgwui_toggle_text(history)
try:
    from modules import chat, shared, ui_chat
    TGWUI_AVAILABLE = True
except ImportError:
    class DummyShared:
        processing_message = "" 
    class DummyState:
        def __init__(self):
            self.mode = 'chat'  # Add default mode      
    shared = DummyShared()

# pylint: disable=all

#########################
# Central config loader #
#########################
# Confguration file management for confignew.json 
try:
    from .config import AlltalkConfig, AlltalkTTSEnginesConfig, AlltalkNewEnginesConfig # TGWUI import
except ImportError:
    from config import AlltalkConfig, AlltalkTTSEnginesConfig, AlltalkNewEnginesConfig # Standalone import

def initialize_configs():
    """Initialize all configuration instances"""
    config = AlltalkConfig.get_instance()
    tts_engines_config = AlltalkTTSEnginesConfig.get_instance()
    new_engines_config = AlltalkNewEnginesConfig.get_instance()
    return config, tts_engines_config, new_engines_config

# Load in configs
config, tts_engines_config, new_engines_config = initialize_configs()
config.save()  # Force the config file to save in case it was missing new any settings

##########################
# Central print function #
##########################
def print_message(message, message_type="standard", component="TTS"):
    """Centralized print function for AllTalk messages
    Args:
        message (str): The message to print
        message_type (str): Type of message (standard/warning/error/debug_*/debug)
        component (str): Component identifier (TTS/ENG/GEN/API/etc.)
    """
    # ANSI color codes
    BLUE = "\033[94m"
    MAGENTA = "\033[95m"
    YELLOW = "\033[93m"  
    RED = "\033[91m"
    GREEN = "\033[92m"
    RESET = "\033[0m"
    
    prefix = f"[{config.branding}{component}] "
    
    if message_type.startswith("debug_"):
        debug_flag = getattr(config.debugging, message_type, False)
        if not debug_flag:
            return
            
        if message_type == "debug_func" and "Function entry:" in message:
            message_parts = message.split("Function entry:", 1)
            print(f"{prefix}{BLUE}Debug{RESET} {YELLOW}{message_type}{RESET} Function entry:{GREEN}{message_parts[1]}{RESET}")
        else:
            print(f"{prefix}{BLUE}Debug{RESET} {YELLOW}{message_type}{RESET} {message}")
        
    elif message_type == "debug":
        print(f"{prefix}{BLUE}Debug{RESET} {message}")
        
    elif message_type == "warning":
        print(f"{prefix}{YELLOW}Warning{RESET} {message}")
        
    elif message_type == "error":
        print(f"{prefix}{RED}Error{RESET} {message}")
        
    else:
        print(f"{prefix}{message}")

def debug_func_entry():
    """Print debug message for function entry if debug_func is enabled"""
    if config.debugging.debug_func:
        current_func = inspect.currentframe().f_back.f_code.co_name
        print_message(f"Function entry: {current_func}", "debug_func")

###########################
# Central config updaters #
###########################
def update_settings_at(delete_output_wavs, gradio_interface, gradio_port_number, output_folder,
                    api_port_number, gr_debug_tts, transcode_audio_format, generate_help_page,
                    voice2rvc_page, tts_generator_page, tts_engines_settings_page,
                    alltalk_documentation_page, api_documentation_page):
    """Update AllTalk main settings using the centralized config system"""
    debug_func_entry()
    try:
        # Get the current config instance
        config = AlltalkConfig.get_instance()
        
        # Update main settings
        config.delete_output_wavs = delete_output_wavs
        config.gradio_interface = gradio_interface == "Enabled"
        config.output_folder = output_folder
        config.api_def.api_port_number = api_port_number
        config.gradio_port_number = gradio_port_number
        config.transcode_audio_format = transcode_audio_format

        # Update debugging options
        for key in vars(config.debugging):
            if not key.startswith('_'):  # Skip private attributes
                setattr(config.debugging, key, key in gr_debug_tts)

        # Update gradio pages settings
        config.gradio_pages.Generate_Help_page = generate_help_page
        config.gradio_pages.Voice2RVC_page = voice2rvc_page
        config.gradio_pages.TTS_Generator_page = tts_generator_page
        config.gradio_pages.TTS_Engines_Settings_page = tts_engines_settings_page
        config.gradio_pages.alltalk_documentation_page = alltalk_documentation_page
        config.gradio_pages.api_documentation_page = api_documentation_page

        # Save the updated configuration
        config.save()
        # Tell tts_server.py to update
        get_alltalk_settings()
        
        print_message("Default Settings Saved") 
        return "Settings updated successfully!"
    except Exception as e:
        print_message(f"Failed to save configuration data: {str(e)}", message_type="error")
        return f"Error updating settings: {str(e)}"

def update_settings_api(api_length_stripping, api_legacy_ip_address, api_allowed_filter,
                    api_max_characters, api_use_legacy_api, api_text_filtering,
                    api_narrator_enabled, api_text_not_inside, api_language,
                    api_output_file_name, api_output_file_timestamp, api_autoplay,
                    api_autoplay_volume):
    """Update API settings using the centralized config system"""
    debug_func_entry()
    try:
        # Get the current config instance
        config = AlltalkConfig.get_instance()
        
        # Update API settings
        config.api_def.api_length_stripping = api_length_stripping
        config.api_def.api_legacy_ip_address = api_legacy_ip_address
        config.api_def.api_allowed_filter = api_allowed_filter
        config.api_def.api_max_characters = api_max_characters
        config.api_def.api_use_legacy_api = api_use_legacy_api == "AllTalk v1 API (Legacy)"
        config.api_def.api_text_filtering = api_text_filtering
        config.api_def.api_narrator_enabled = api_narrator_enabled
        config.api_def.api_text_not_inside = api_text_not_inside
        config.api_def.api_language = api_language
        config.api_def.api_output_file_name = api_output_file_name
        config.api_def.api_output_file_timestamp = api_output_file_timestamp == "Timestamp files"
        config.api_def.api_autoplay = api_autoplay == "Play remotely"
        config.api_def.api_autoplay_volume = api_autoplay_volume

        # Save the updated configuration
        config.save()
        # Tell tts_server.py to update
        get_alltalk_settings()
        
        print_message("API Settings Saved")
        return "Default API settings updated successfully!"
    except Exception as e:
        print_message(f"Failed to save configuration data: {str(e)}", message_type="error")
        return f"Error updating settings: {str(e)}"

def update_settings_tgwui(activate, autoplay, show_text, language, narrator_enabled):
    """Update Text-gen-webui settings using the centralized config system"""
    debug_func_entry()
    try:
        # Get the current config instance
        config = AlltalkConfig.get_instance()
        
        # Update TGWUI settings
        config.tgwui.tgwui_activate_tts = activate == "Enabled"
        config.tgwui.tgwui_autoplay_tts = autoplay == "Enabled"
        config.tgwui.tgwui_show_text = show_text == "Enabled"
        config.tgwui.tgwui_language = language
        config.tgwui.tgwui_narrator_enabled = narrator_enabled

        # Save the updated configuration
        config.save()
        
        print_message("Default Text-gen-webui Settings Saved")
        return "Settings updated successfully!"
    except Exception as e:
        print_message(f"Failed to save configuration data: {str(e)}", message_type="error")
        return f"Error updating settings: {str(e)}"

def update_rvc_settings(rvc_enabled, rvc_char_model_file, rvc_narr_model_file, split_audio,
                    autotune, pitch, filter_radius, index_rate, rms_mix_rate, protect,
                    hop_length, f0method, embedder_model, training_data_size, progress=None):
    """Update RVC settings using the centralized config system"""
    debug_func_entry()
    
    try:
        # Get the current config instance
        config = AlltalkConfig.get_instance()
        
        # Update RVC settings
        config.rvc_settings.rvc_enabled = rvc_enabled
        config.rvc_settings.rvc_char_model_file = rvc_char_model_file
        config.rvc_settings.rvc_narr_model_file = rvc_narr_model_file
        config.rvc_settings.split_audio = split_audio
        config.rvc_settings.autotune = autotune
        config.rvc_settings.pitch = pitch
        config.rvc_settings.filter_radius = filter_radius
        config.rvc_settings.index_rate = index_rate
        config.rvc_settings.rms_mix_rate = rms_mix_rate
        config.rvc_settings.protect = protect
        config.rvc_settings.hop_length = hop_length
        config.rvc_settings.f0method = f0method
        config.rvc_settings.embedder_model = embedder_model
        config.rvc_settings.training_data_size = training_data_size

        def ensure_directory_exists(directory):
            if not os.path.exists(directory):
                os.makedirs(directory)

        def load_file_urls(json_path):
            with open(json_path, 'r') as f:
                return json.load(f)

        def download_file(url, dest_path):
            response = requests.get(url, stream=True)
            response.raise_for_status()
            with open(dest_path, 'wb') as f:
                for chunk in response.iter_content(chunk_size=8192):
                    f.write(chunk)

        if rvc_enabled:
            base_dir = os.path.join(this_dir, "models", "rvc_base")
            rvc_voices_dir = os.path.join(this_dir, "models", "rvc_voices")
            ensure_directory_exists(base_dir)
            ensure_directory_exists(rvc_voices_dir)
            json_path = os.path.join(this_dir, "system", "tts_engines", "rvc_files.json")
            file_urls = load_file_urls(json_path)
            for idx, file in enumerate(file_urls):
                if not os.path.exists(os.path.join(base_dir, file)):
                    progress(idx / len(file_urls), desc=f"Downloading Required RVC Files: {file}...")
                    print(f"[{branding}TTS] Downloading {file}...")  # Print statement for terminal
                    download_file(file_urls[file], os.path.join(base_dir, file))
            result = "RVC Base Files downloaded successfully." if len(file_urls) > 0 else "All files are present."

        # Save the updated configuration
        config.save()
        # Tell tts_server.py to update
        get_alltalk_settings()        
        
        return "RVC settings updated successfully!"
    except Exception as e:
        print_message(f"Failed to save configuration data: {str(e)}", message_type="error")
        return f"Error updating settings: {str(e)}"

###########################################################################
# START-UP # Silence Character Normaliser when it checks the Ready Status #
###########################################################################
import warnings
warnings.filterwarnings('ignore', message='Trying to detect encoding from a tiny portion')

###########################################
# START-UP # AllTalk allowed startup time #
###########################################
startup_wait_time = 240

# You can change the above setting to a larger number to allow AllTAlk more time to start up.
# The default setting is 240 seconds (4 minutes). If its taking longer though, you may have a
# Very old system or system issue.

##############################################
# START-UP # Load confignew.json into params #
##############################################
this_dir = Path(__file__).parent.resolve()
config = AlltalkConfig.get_instance()
branding = config.branding
github_site = "erew123"
github_repository = "alltalk_tts"
github_branch = "alltalkbeta"
current_folder = os.path.basename(os.getcwd())
output_folder = config.get_output_directory()
delete_output_wavs_setting = config.delete_output_wavs
gradio_enabled = config.gradio_interface
script_path = this_dir / "tts_server.py"
tunnel_url = None
running_on_google_colab = False
running_in_docker = False

############################################
# START-UP # Display initial splash screen #
############################################
print_message("\033[94m    _    _ _ \033[1;35m_____     _ _     \033[0m  _____ _____ ____  ") # pylint: disable=line-too-long
print_message("\033[94m   / \  | | |\033[1;35m_   _|_ _| | | __ \033[0m |_   _|_   _/ ___| ") # pylint: disable=line-too-long
print_message("\033[94m  / _ \ | | |\033[1;35m | |/ _` | | |/ / \033[0m   | |   | | \___ \ ") # pylint: disable=line-too-long
print_message("\033[94m / ___ \| | |\033[1;35m | | (_| | |   <  \033[0m   | |   | |  ___) |") # pylint: disable=line-too-long
print_message("\033[94m/_/   \_\_|_|\033[1;35m |_|\__,_|_|_|\_\ \033[0m   |_|   |_| |____/ ") # pylint: disable=line-too-long
print_message("")

#############################################################################
# START-UP # Check current folder name has dashes '-' in it and error if so #
#############################################################################
# Get the directory of the current script
this_script_path = Path(__file__).resolve()
this_script_dir = this_script_path.parent
# Get the current folder name
this_current_folder = this_script_dir.name
if "-" in this_current_folder:
    print_message("")
    print_message("The current folder name contains a dash ('\033[93m-\033[0m') and this causes errors/issues. Please ensure", message_type="warning")
    print_message("the folder name does not have a dash e.g. rename ('\033[93malltalk_tts-main\033[0m') to ('\033[93malltalk_tts\033[0m').", message_type="warning")
    print_message("")
    print_message("\033[92mCurrent folder:\033[0m {this_current_folder}", message_type="warning")
    sys.exit(1)

##############################################
# START-UP # Check if we are on Google Colab #
##############################################
def check_google_colab():
    debug_func_entry()
    try:
        import google.colab
        return True
    except ImportError:
        return False

running_on_google_colab = check_google_colab()

###############################################################################
# START-UP # Test if we are running within Text-gen-webui or as a Standalone  #
###############################################################################
try:
    import gradio as gr
    from modules import chat, shared, ui_chat
    from modules.logging_colors import logger
    from modules.ui import create_refresh_button
    from modules.utils import gradio
    print_message("\033[92mStart-up Mode     : \033[93mText-gen-webui mode\033[0m")
    running_in_standalone = False
    running_in_tgwui = True
except ModuleNotFoundError:
    running_in_standalone = True
    running_in_tgwui = False
    print_message("\033[92mStart-up Mode     : \033[93mStandalone mode\033[0m")

######################################################
# START-UP # Check if this is a first time start-up  #
######################################################
def run_firsttime_script():
    debug_func_entry()
    try:
        if running_on_google_colab:
            script_path = '/content/alltalk_tts/system/config/firstrun.py'
        elif running_in_standalone:
            script_path = os.path.join(this_dir, 'system', 'config', 'firstrun.py')
        elif running_in_tgwui:
            script_path = os.path.join(this_dir, 'system', 'config', 'firstrun_tgwui.py')
        else:
            script_path = os.path.join(this_dir, 'system', 'config', 'firstrun.py')

        subprocess.run([sys.executable, script_path], check=True)
    except subprocess.CalledProcessError as e:
        print_message("Error occurred while running the script: " + str(e), message_type="error")
    except Exception as e:
        print_message("An unexpected error occurred: " + str(e), message_type="error")

# Call the function to run the startup script
run_firsttime_script()

###########################################################
# START-UP # Delete files in outputs folder if configured #
###########################################################
def delete_old_files(folder_path, days_to_keep):
    debug_func_entry()
    current_time = datetime.now()
    print_message("\033[92mWAV file deletion    :\033[93m", delete_output_wavs_setting,"\033[0m")
    for file_name in os.listdir(folder_path):
        file_path = os.path.join(folder_path, file_name)
        if os.path.isfile(file_path):
            file_creation_time = datetime.fromtimestamp(os.path.getctime(file_path))
            age = current_time - file_creation_time
            if age > timedelta(days=days_to_keep):
                os.remove(file_path)

# Check and perform file deletion
if delete_output_wavs_setting.lower() == "disabled":
    print_message("\033[92mWAV file deletion :\033[93m Disabled\033[0m")
else:
    try:
        days_to_keep = int(delete_output_wavs_setting.split()[0])
        delete_old_files(output_folder, days_to_keep)
    except ValueError:
        print_message("\033[92mWAV file deletion :\033[93m Invalid setting for deleting old wav files. Please use 'Disabled' or 'X Days' format\033[0m")

#####################################################################
# START-UP # Check Githubs last update and output into splashscreen #
#####################################################################
def format_datetime(iso_str):
    """Formats an ISO datetime string into a human-readable format with ordinal day numbers.
    
    Example: Converts "2024-03-19T10:30:00Z" to "19th March 2024 at 10:30"
    """
    debug_func_entry()
    def _ordinal(n):
        """Helper function to convert numbers to ordinal form (1st, 2nd, 3rd, etc)"""
        debug_func_entry()
        return "%d%s" % (n, "th" if 4 <= n % 100 <= 20 else {1: "st", 2: "nd", 3: "rd"}.get(n % 10, "th"))
    
    dt = datetime.strptime(iso_str, "%Y-%m-%dT%H:%M:%SZ")
    return dt.strftime(f"{_ordinal(dt.day)} %B %Y at %H:%M")

def fetch_latest_commit_sha_and_date(owner, repo, branch):
    debug_func_entry()
    # Modified URL to include the branch
    url = f"https://api.github.com/repos/{owner}/{repo}/commits/{branch}"
    try:
        response = requests.get(url)
        if response.status_code == 200:
            commit_data = response.json()
            latest_commit_sha = commit_data['sha']
            latest_commit_date = commit_data['commit']['committer']['date']
            return latest_commit_sha, latest_commit_date
        else:
            print_message(f"\033[92mGithub updated    :\033[91m Failed to fetch the latest commit from branch {branch} due to an unexpected response from GitHub")
            return None, None
    except ConnectionError:
        print_message("\033[92mGithub updated    :\033[91m Could not reach GitHub to check for updates\033[0m")
        return None, None

def read_or_initialize_sha(file_path, owner, repo, branch):
    debug_func_entry()
    if os.path.exists(file_path):
        with open(file_path, 'r') as file:
            data = json.load(file)
            return data.get("last_known_commit_sha")
    else:
        # File doesn't exist, fetch the latest SHA and create the file
        latest_commit_sha, _ = fetch_latest_commit_sha_and_date(owner, repo, branch)
        if latest_commit_sha:
            with open(file_path, 'w') as file:
                json.dump({"last_known_commit_sha": latest_commit_sha}, file)
            return latest_commit_sha
        return None

def update_sha_file(file_path, new_sha):
    debug_func_entry()
    with open(file_path, 'w') as file:
        json.dump({"last_known_commit_sha": new_sha}, file)

# Define the file path based on your directory structure
sha_file_path = this_dir / "system" / "config" / "at_github_sha.json"

# Read or initialize the SHA
last_known_commit_sha = read_or_initialize_sha(sha_file_path, github_site, github_repository, github_branch)

# Fetch the latest commit SHA and date from the specific branch
latest_commit_sha, latest_commit_date = fetch_latest_commit_sha_and_date(github_site, github_repository, github_branch)

formatted_date = format_datetime(latest_commit_date) if latest_commit_date else "an unknown date"

if latest_commit_sha and latest_commit_sha != last_known_commit_sha:
    print_message(f"\033[92mGithub updated    :\033[93m {formatted_date} \033[92mBranch:\033[93m {github_branch}\033[0m")
    # Update the file with the new SHA
    update_sha_file(sha_file_path, latest_commit_sha)
elif latest_commit_sha == last_known_commit_sha:
    print_message(f"\033[92mGithub updated    :\033[93m {formatted_date} \033[92mBranch:\033[93m {github_branch}\033[0m")

##################################################
# START-UP # Configure the subprocess handler ####
##################################################
def signal_handler(sig, frame):
    debug_func_entry()
    config.save()
    print_message("\033[94mReceived Ctrl+C, terminating subprocess. Kill your Python processes if this fails to exit.\033[92m")
    if process.poll() is None:
        process.terminate()
        process.wait()  # Wait for the subprocess to finish
    sys.exit(0)

#####################################################################
# START-UP # Start the Subprocess and Check for Google Colab/Docker #
#####################################################################
try:
    import google.colab
    running_on_google_colab = True
    with open('/content/alltalk_tts/googlecolab.json', 'r') as f:
        data = json.load(f)
        tunnel_url_1, tunnel_url_2 = data.get('google_ip_address', [None, None])
except FileNotFoundError:
    print_message("Could not find IP address")
    tunnel_url_1, tunnel_url_2 = None, None
except ImportError:
    running_on_google_colab = False

# Attach the signal handler to the SIGINT signal (Ctrl+C)
signal.signal(signal.SIGINT, signal_handler)

# Check if we're running in docker
if os.path.isfile("/.dockerenv") and 'google.colab' not in sys.modules:
    print_message("")
    print_message("\033[94mRunning in Docker environment. Please note:\033[0m")
    print_message("Docker environments have various considerations:")
    print_message("AllTalk v2 is running 2x web servers. One webserver is the API address that exernal TTS")
    print_message("generation requests are sent to. The other webserver is the Gradio management interface.")
    print_message("If you want to access and use both API calls and the Gradio interface, in a docker style")
    print_message("environment, you will need to somehow make these accessable, depending on your scenario:")
    print_message(" 1. A Local Area Network (LAN) scenario:")
    print_message("    - Ensure you've exposed the Gradio and API ports correctly.")
    print_message("    - The application should work as expected.")
    print_message("2. Internet/Remotely accessed scenario:")
    print_message("    - You'll need to set up a secure tunnel or VPN to the host server.")
    print_message("    - If you want just API requests, you can map just the API and control AllTalk via API calls.")
    print_message("    - If you want both API and Gradio interfaces you need to make both accessible.")
    print_message(" 3. Default Addresses:")
    print_message(f"    - Internal API address: http://localhost:{config.api_def.api_port_number}")
    print_message(f"    - Internal Gradio address: http://localhost:{config.gradio_port_number}")
    print_message(" Tunnel Setup:")
    print_message("    - If using a tunnel, you'll need to provide the API external URL/Address in Gradio.")
    print_message("    - Look for 'API URL/Address' option in the Gradio interface `Generate` page.")
    running_in_docker = True
    docker_url = f"http://localhost:{config.api_def.api_port_number}"
else:
    running_in_docker = False

# Start the subprocess (now unified for both Docker and non-Docker environments)
process = subprocess.Popen([sys.executable, script_path])

# Check if the subprocess has started successfully
if process.poll() is None:
    if running_on_google_colab:
        print_message("")
        print_message("\033[94mGoogle Colab Detected\033[00m")
        print_message("")
else:
    print_message("TTS Subprocess Webserver failing to start process", message_type="warning")
    print_message(f"It could be that you have something on port: {config.port_number}", message_type="warning")
    print_message("Or you have not started in a Python environment with all the necessary bits installed", message_type="warning")
    print_message("Check you are starting Text-generation-webui with either the start_xxxxx file or the Python environment with cmd_xxxxx file.", message_type="warning")
    print_message("xxxxx is the type of OS you are on e.g. windows, linux or mac.", message_type="warning")
    print_message("Alternatively, you could check no other Python processes are running that shouldn't be e.g. Restart your computer is the simple way.", message_type="warning")
    # Cleanly kill off this script, but allow text-generation-webui to keep running, albeit without this alltalk_tts
    sys.exit(1)

timeout = startup_wait_time  # Gather timeout setting from startup_wait_time
initial_delay = 5  # Initial delay before starting the check loop
warning_delay = 60  # Delay before displaying warnings

# Introduce a delay before starting the check loop
time.sleep(initial_delay)

start_time = time.time()
warning_displayed = False

url = f"http://localhost:{config.api_def.api_port_number}/api/ready"
while time.time() - start_time < timeout:
    try:
        response = requests.get(url)
        if response.status_code == 200 and response.text == "Ready":
            break
    except requests.RequestException as e:
        # Log the exception if needed
        pass

    if not warning_displayed and time.time() - start_time >= warning_delay:
        print_message("TTS Engine has NOT started up yet. Will keep trying for " + str(timeout) + " seconds maximum. Please wait.", message_type="warning")
        print_message("Mechanical hard drives and a slow PCI BUS are examples of things that can affect load times.", message_type="warning")
        print_message("Some TTS engines index their AI TTS models on loading, which can be slow on CPU or old systems.", message_type="warning")
        print_message("Using one of the other TTS engines on slower systems can help ease this issue.", message_type="warning")
        warning_displayed = True

    time.sleep(1)
else:
    print_message("")
    print_message("Startup timed out. Full help available here https://github.com/erew123/alltalk_tts#-help-with-problems")
    print_message("On older systems, you may wish to open and edit script.py with a text editor and change the")
    print_message("startup_wait_time = 240 setting to something like startup_wait_time = 460 as this will allow")
    print_message("AllTalk more time (6 mins) to try load the model into your VRAM. Otherwise, please visit the GitHub for")
    print_message("a list of other possible troubleshooting options.")
    # Cleanly kill off this script, but allow text-generation-webui to keep running, albeit without this alltalk_tts
    sys.exit(1)

if running_on_google_colab:
    print_message("")
    print_message("\033[94mAPI Address :\033[00m \033[92m" + tunnel_url_1 + "\033[00m")
    print_message("\033[94mGradio Light:\033[00m \033[92m" + tunnel_url_2 + "\033[00m")
    print_message("\033[94mGradio Dark :\033[00m \033[92m" + tunnel_url_2 + "?__theme=dark\033[00m")
    print_message("")
else:
    print_message("")
    print_message("\033[94mAPI Address :\033[00m \033[92m127.0.0.1:" + str(config.api_def.api_port_number) + "\033[00m")
    print_message("\033[94mGradio Light:\033[00m \033[92mhttp://127.0.0.1:" + str(config.gradio_port_number) + "\033[00m")
    print_message("\033[94mGradio Dark :\033[00m \033[92mhttp://127.0.0.1:" + str(config.gradio_port_number) + "?__theme=dark\033[00m")
    print_message("")

print_message("\033[94mAllTalk WIKI:\033[00m \033[92mhttps://github.com/erew123/alltalk_tts/wiki\033[00m")
print_message("\033[94mErrors Help :\033[00m \033[92mhttps://github.com/erew123/alltalk_tts/wiki/Error-Messages-List\033[00m")
print_message("")

#########################################
# START-UP # Espeak-ng check on Windows #
#########################################
def check_espeak_ng():
    debug_func_entry()
    if platform.system() == "Windows":
        try:
            result = subprocess.run(['espeak-ng', '--version'], capture_output=True, text=True, check=True)
            return
        except (subprocess.CalledProcessError, FileNotFoundError) as e:
            # If the command returns an error, print the error message
            print_message("")
            print_message("Espeak-ng for Windows\033[91m WAS NOT FOUND. \033[0mYou can install\033[0m", message_type="warning")
            print_message("\033[0mit from this location \033[93m\\alltalk_tts\\system\espeak-ng\\\033[0m", message_type="warning")
            print_message("Then close this command prompt window and open a new", message_type="warning")
            print_message("command prompt, before re-starting.", message_type="warning")
    elif platform.system() == "Darwin":  # macOS
        try:
            result = subprocess.run(['espeak-ng', '--version'], capture_output=True, text=True, check=True)
            return
        except FileNotFoundError:
            print_message("")
            print_message("Espeak-ng for macOS\033[91m WAS NOT FOUND. \033[0mYou can install\033[0m", message_type="warning")
            print_message("\033[0mit using Homebrew: \033[93mbrew install espeak-ng\033[0m", message_type="warning")
    else:  # Linux
        try:
            result = subprocess.run(['espeak-ng', '--version'], capture_output=True, text=True, check=True)
            return
        except FileNotFoundError:
            print_message("")
            print_message("Espeak-ng for Linux\033[91m WAS NOT FOUND. \033[0mYou can install\033[0m", message_type="warning")
            print_message("\033[0mit using your package manager, e.g., \033[93mapt-get install espeak-ng\033[0m", message_type="warning")
    print_message("")
    print_message("")

check_espeak_ng()

####################################
# START-UP # Subprecess management #
####################################

def start_subprocess():
    debug_func_entry()
    global process
    if process is None or process.poll() is not None:
        process = subprocess.Popen([sys.executable, script_path])
        return "Subprocess started."
    else:
        return "Subprocess is already running."

def stop_subprocess():
    debug_func_entry()
    global process
    if process is not None:
        process.terminate()
        process.wait()
        process = None
        return "Subprocess stopped."
    else:
        return "Subprocess is not running."

def restart_subprocess():
    debug_func_entry()
    stop_subprocess()
    print_message("")
    print_message("\033[94mSwapping TTS Engine. Please wait.\033[00m")
    print_message("")
    return start_subprocess()

def check_subprocess_status():
    debug_func_entry()
    global process
    if process is None or process.poll() is not None:
        return "Subprocess is not running."
    else:
        return "Subprocess is running."

###################################################################
# START-UP # Register the termination code to be executed at exit #
###################################################################
atexit.register(lambda: process.terminate() if process.poll() is None else None)

##########################
# Setup global variables #
##########################
# Load the language options from languages
with open(os.path.join(this_dir, "system", "config", "languages.json"), "r") as f:
    languages_list = json.load(f)
current_model_loaded = None
#deepspeed_installed = True
tgwui_lovram = False
tgwui_deepspeed = False
# Create a global lock for tracking TTS generation occuring
process_lock = threading.Lock()
# Pull the values for IP address, port and protocol for communication with the AllTalk renote server
alltalk_protocol = "http://"
alltalk_ip_port = f"127.0.0.1:{config.api_def.api_port_number}"
# Pull the connection timeout value for communication requests with the AllTalk remote server
connection_timeout = 10
# Create a few base global variables that are required
models_available = None         # Gets populated with the list of all models/engines available on the AllTalk Server
at_settings = None    # Gets populated with the list of all settings currently set on the AllTalk Server
current_model_loaded = None     # Gets populated with the name of the current loaded TTS engine/model on the AllTalk Server
# Used to detect if a model is loaded in to AllTalk server to block TTS genereation if needed.
tts_model_loaded = None

#################################################
# Pull all the settings from the AllTalk Server #
#################################################
def get_alltalk_settings():
    """Retrieves current settings from the AllTalk server including voices, models, and configuration.
    Returns a dictionary of settings with default values if server is unreachable.
    """
    debug_func_entry()
    # Determine the appropriate base URL based on environment
    if running_on_google_colab:
        base_url = tunnel_url_1
    elif running_in_docker:
        base_url = docker_url
    else:
        base_url = f"{alltalk_protocol}{alltalk_ip_port}"

    # Define endpoints
    endpoints = {
        "voices": f"{base_url}/api/voices",
        "rvcvoices": f"{base_url}/api/rvcvoices",
        "settings": f"{base_url}/api/currentsettings"
    }

    # Default settings in case of failure
    default_settings = {
        "voices": ["Please Refresh Settings"],
        "rvcvoices": ["Please Refresh Settings"],
        "engines_available": ["Please Refresh Settings"],
        "current_engine_loaded": ["Please Refresh Settings"],
        "models_available": ["Please Refresh Settings"],
        "current_model_loaded": "Please Refresh Settings",
        "manufacturer_name": "",
        "deepspeed_capable": False,
        "deepspeed_available": False,
        "deepspeed_enabled": False,
        "generationspeed_capable": False,
        "generationspeed_set": 1.0,
        "lowvram_capable": False,
        "lowvram_enabled": False,
        "pitch_capable": False,
        "pitch_set": 0,
        "repetitionpenalty_capable": False,
        "repetitionpenalty_set": 10.0,
        "streaming_capable": False,
        "temperature_capable": False,
        "temperature_set": 0.75,
        "ttsengines_installed": False,
        "languages_capable": False,
        "multivoice_capable": False,
        "multimodel_capable": False,
    }

    try:
        # Make all requests with a single session for efficiency
        with requests.Session() as session:
            responses = {
                name: session.get(url, timeout=connection_timeout)
                for name, url in endpoints.items()
            }

        # Check if all responses are successful
        if not all(r.status_code == 200 for r in responses.values()):
            failed_endpoints = [name for name, r in responses.items() 
                              if r.status_code != 200]
            print_message(f"Failed to retrieve data from: {', '.join(failed_endpoints)}", 
                         message_type="warning", 
                         component="Server")
            return default_settings

        # Parse responses
        voices_data = responses["voices"].json()
        rvcvoices_data = responses["rvcvoices"].json()
        settings_data = responses["settings"].json()

        # Update global variables
        global engines_available, current_engine_loaded, models_available, current_model_loaded
        engines_available = sorted(settings_data["engines_available"])
        current_engine_loaded = settings_data["current_engine_loaded"]
        models_available = sorted([model["name"] for model in settings_data["models_available"]])
        current_model_loaded = settings_data["current_model_loaded"]

        # Construct and return settings dictionary
        return {
            "voices": sorted(voices_data["voices"], key=lambda s: s.lower()),
            "rvcvoices": rvcvoices_data["rvcvoices"],
            "engines_available": engines_available,
            "current_engine_loaded": current_engine_loaded,
            "models_available": models_available,
            "current_model_loaded": current_model_loaded,
            **{k: settings_data.get(k, default_settings[k]) 
               for k in default_settings if k not in ["voices", "rvcvoices", "engines_available", 
                                                    "current_engine_loaded", "models_available", 
                                                    "current_model_loaded"]}
        }

    except (RequestException, ConnectionError) as e:
        print_message(f"Unable to connect to the {branding} server: {str(e)}", 
                     message_type="warning", 
                     component="Server")
        return default_settings

# Pull all the current settings from the AllTalk server, if its online.
at_settings = get_alltalk_settings()

#############################
#### TTS STOP GENERATION ####
#############################
def stop_generate_tts():
    debug_func_entry()
    if running_on_google_colab:
        api_url = f"{tunnel_url_1}/api/stop-generation"
    elif running_in_docker:
        api_url = f"{docker_url}/api/stop-generation"
    else:
        api_url = f"{alltalk_protocol}{alltalk_ip_port}/api/stop-generation"
    try:
        response = requests.put(api_url, timeout=connection_timeout)
        if response.status_code == 200:
            return response.json()["message"]
        else:
            print_message(f"Failed to stop generation. Status code:\n{response.status_code}", message_type="warning")
            return {"message": "Failed to stop generation"}
    except (RequestException, ConnectionError) as e:
        print_message(f"Unable to connect to the {branding} server. Status code:\n{str(e)}", message_type="warning")
        return {"message": "Failed to stop generation"}

def send_api_request(endpoint, payload=None, headers=None, params=None):
    """Base function for making API requests to the AllTalk server.
    
    Args:
        endpoint (str): API endpoint (e.g., '/api/reload')
        payload (dict, optional): POST data
        headers (dict, optional): Request headers
        params (dict, optional): URL parameters
    
    Returns:
        dict: Response data or error status
    """
    debug_func_entry()
    try:
        # Construct base URL based on environment
        if running_on_google_colab:
            base_url = f"{tunnel_url_1}{endpoint}"
        elif running_in_docker:
            base_url = f"{docker_url}{endpoint}"
        else:
            base_url = f"{alltalk_protocol}{alltalk_ip_port}{endpoint}"

        response = requests.post(
            base_url,
            json=payload,
            headers=headers or {"Content-Type": "application/json"},
            params=params
        )
        response.raise_for_status()
        
        return {
            "status": "success",
            "response": response.json() if response.content else None,
            "raw_response": response
        }
    except requests.exceptions.RequestException as e:
        print_message(f"Error during request to webserver process: Status code:\n{e}", 
                     message_type="warning")
        return {"status": "error", "message": str(e)}

def send_reload_request(value_sent):
    """Sends a request to reload the TTS model.
    
    Args:
        value_sent: The TTS method/model to load
    """
    debug_func_entry()
    params = {"tts_method": value_sent}
    return send_api_request("/api/reload", params=params)

def send_lowvram_request(value_sent):
    """Sends a request to change the low VRAM setting and returns audio feedback.
    
    Args:
        value_sent (bool): Whether to enable low VRAM mode
    
    Returns:
        str: HTML audio element or error message
    """
    debug_func_entry()
    config.tgwui.tts_model_loaded = False
    
    response = send_api_request(
        "/api/lowvramsetting",
        params={"new_low_vram_value": value_sent}
    )
    
    if response["status"] == "success":
        json_response = response["response"]
        if json_response.get("status") == "lowvram-success":
            config.tgwui.tts_model_loaded = True
            audio_path = this_dir / ("lowvramenabled.wav" if value_sent else "lowvramdisabled.wav")
            return f'<audio src="file/{audio_path}" controls autoplay></audio>'
    
    return response

##################################################################
#     _    _ _ _____     _ _       ____               _ _        #
#    / \  | | |_   _|_ _| | | __  / ___|_ __ __ _  __| (_) ___   #
#   / _ \ | | | | |/ _` | | |/ / | |  _| '__/ _` |/ _` | |/ _ \  #
#  / ___ \| | | | | (_| | |   <  | |_| | | | (_| | (_| | | (_) | #
# /_/   \_\_|_| |_|\__,_|_|_|\_\  \____|_|  \__,_|\__,_|_|\___/  #
#                                                                #
##################################################################

if gradio_enabled == True:
    import importlib
    import gradio as gr
    # Get the directory of the current script
    script_dir = Path(__file__).resolve().parent
    my_current_url = "null"
    at_default_voice_gr = config.tgwui.tgwui_character_voice
    ####################################################
    # Dynamically import the Themes builder for Gradio #
    ####################################################
    themesmodule_path = this_dir / 'system' / 'gradio_pages' / 'themes' / 'loadThemes.py'
    # Add the directory containing the module to the system path
    sys.path.insert(0, str(this_dir / 'system' / 'gradio_pages' / 'themes'))
    # Import the module dynamically
    spec = importlib.util.spec_from_file_location("loadThemes", themesmodule_path)
    loadThemes = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(loadThemes)
    # Load the theme list from JSON file
    theme_list = loadThemes.get_list()
    # Load the selected theme from configuration
    selected_theme = loadThemes.load_json()
    ###########################################################
    # Finish Dynamically import the Themes builder for Gradio #
    ###########################################################
    # Check if the script is running in standalone mode
    if script_dir.name == "alltalk_tts":
        # Running in standalone mode, add the script's directory to the Python module search path
        sys.path.insert(0, str(script_dir))
    else:
        # Running as part of text-generation-webui, add the parent directory of "alltalk_tts" to the Python module search path
        sys.path.insert(0, str(script_dir.parent))
    ########################################################################################
    # Dynamically import modules and set path based on being a standalone or part of TGWUI #
    ########################################################################################
    # Function to get TTS engines data
    def get_tts_engines_data(): #TODO: we should be pulling this from our central function now?
        debug_func_entry()
        global engines_available, engine_loaded, selected_model
        tts_engines_file = os.path.join(this_dir, "system", "tts_engines", "tts_engines.json")
        with open(tts_engines_file, "r") as f:
            tts_engines_data = json.load(f)
        engines_available = [engine["name"] for engine in tts_engines_data["engines_available"]]
        engine_loaded = tts_engines_data["engine_loaded"]
        selected_model = tts_engines_data["selected_model"]
        return engines_available, engine_loaded, selected_model

    # Determine if running as standalone or within another project
    if __name__ == "__main__" or "text-generation-webui" not in this_dir.parts:
        # Standalone execution
        base_package = None  # No base package needed for absolute imports
        from system.gradio_pages.alltalk_documentation import alltalk_documentation
        from system.gradio_pages.alltalk_generation_help import alltalk_generation_help
        from system.gradio_pages.alltalk_about import alltalk_about
        from system.gradio_pages.alltalk_diskspace import get_disk_interface
        from system.gradio_pages.api_documentation import api_documentation
        if config.firstrun_splash:
            from system.gradio_pages.alltalk_welcome import alltalk_welcome
    else:
        # Running within text-generation-webui
        # Dynamically build the base package using the current folder name
        from .system.gradio_pages.alltalk_documentation import alltalk_documentation
        from .system.gradio_pages.alltalk_generation_help import alltalk_generation_help
        from .system.gradio_pages.alltalk_about import alltalk_about
        from .system.gradio_pages.alltalk_diskspace import get_disk_interface
        from .system.gradio_pages.api_documentation import api_documentation
        if config.firstrun_splash:
            from .system.gradio_pages.alltalk_welcome import alltalk_welcome
        current_folder_name = this_dir.name
        base_package = f"extensions.{current_folder_name}"

    # Function to dynamically import a module from a given path
    def dynamic_import(module_name, package=None):
        debug_func_entry()
        try:
            if package:
                module = importlib.import_module(module_name, package=package)
            else:
                module = importlib.import_module(module_name)
            return module
        except ModuleNotFoundError as e:
            print_message(f"Module not found: {module_name} - {e}", message_type="error")
            return None
        except Exception as e:
            print_message(f"Error importing {module_name}: {e}", message_type="error")
            return None

    # Call the function to populate engines_available
    get_tts_engines_data() #TODO: we should be pulling this from our central function now?

    # Dynamically import modules and load JSON data for each available engine
    for engine_name in engines_available:
        if base_package:
            module_name = f"{base_package}.system.tts_engines.{engine_name}.{engine_name}_settings_page"
        else:
            module_name = f"system.tts_engines.{engine_name}.{engine_name}_settings_page"
        module = dynamic_import(module_name, base_package)
        if module:
            globals()[f"{engine_name}_at_gradio_settings_page"] = getattr(module, f"{engine_name}_at_gradio_settings_page")
            globals()[f"{engine_name}_model_update_settings"] = getattr(module, f"{engine_name}_model_update_settings")
            json_file_path = os.path.join(this_dir, "system", "tts_engines", engine_name, "model_settings.json")
            with open(json_file_path, "r") as f:
                globals()[f"{engine_name}_model_config_data"] = json.load(f)

    ###########################################
    # Finishing Dynamically importing Modules #
    ###########################################

    def confirm(message):
        debug_func_entry()
        '''Need to test if this is a dead function'''
        return gr.Interface.fn("confirmation", f"""<script>
            var confirmation = confirm("{message}");
            gr.Interface.send(confirmation);
        </script>""")

    ##########################################################################################
    # Pulls the current AllTalk Server settings & updates gradio when Refresh button pressed #
    ##########################################################################################
    def at_update_dropdowns():
        debug_func_entry()
        global at_settings
        at_settings = get_alltalk_settings()   # Pull all the current settings from the AllTalk server, if its online.
        engines_available = at_settings["engines_available"]
        current_engine_loaded = at_settings["current_engine_loaded"]
        current_voices = at_settings["voices"]
        current_character_voice = config.tgwui.tgwui_character_voice
        current_narrator_voice = config.tgwui.tgwui_narrator_voice
        rvccurrent_voices = at_settings["rvcvoices"]
        rvccurrent_character_voice = config.rvc_settings.rvc_char_model_file
        rvccurrent_narrator_voice = config.rvc_settings.rvc_narr_model_file
        current_temperature_capable = at_settings["temperature_capable"]
        current_repetitionpenalty_capable = at_settings["repetitionpenalty_capable"]
        current_languages_capable = at_settings["languages_capable"]
        current_generationspeed_capable = at_settings["generationspeed_capable"]
        current_pitch_capable = at_settings["pitch_capable"]
        current_languages_capable = at_settings["languages_capable"]
        if at_settings["languages_capable"]:
            language_label = "Languages"
        else:
            language_label = "Model not multi language"
        if at_settings["streaming_capable"]:
            gen_choices = [("Standard", "false"), ("Streaming (Disable Narrator)", "true")]
        else:
            gen_choices = [("Standard", "false")]
        if current_character_voice not in current_voices:
            current_character_voice = current_voices[0] if current_voices else ""
        if current_narrator_voice not in current_voices:
            current_narrator_voice = current_voices[0] if current_voices else ""
        if rvccurrent_character_voice not in rvccurrent_voices:
            rvccurrent_character_voice = rvccurrent_voices[0] if rvccurrent_voices else ""
        if rvccurrent_narrator_voice not in rvccurrent_voices:
            rvccurrent_narrator_voice = rvccurrent_voices[0] if rvccurrent_voices else ""
        return (
            gr.Dropdown(choices=gen_choices, interactive=True),
            gr.Dropdown(choices=current_voices, value=current_character_voice, interactive=True),
            gr.Dropdown(choices=rvccurrent_voices, value=rvccurrent_character_voice, interactive=True),
            gr.Dropdown(choices=current_voices, value=current_narrator_voice, interactive=True),
            gr.Dropdown(choices=rvccurrent_voices, value=rvccurrent_narrator_voice, interactive=True),
            gr.Slider(interactive=current_generationspeed_capable),
            gr.Slider(interactive=current_pitch_capable),
            gr.Slider(interactive=current_temperature_capable),
            gr.Slider(interactive=current_repetitionpenalty_capable),
            gr.Dropdown(interactive=current_languages_capable, label=language_label),
            gr.Dropdown(choices=models_available, value=current_model_loaded),
            gr.Dropdown(choices=engines_available, value=current_engine_loaded),
        )

    ######################################################################################
    # Sends request to reload the current TTS engine & set the default TTS engine loaded #
    ######################################################################################
    def set_engine_loaded(engine_name):
        debug_func_entry()
        global models_available, at_update_dropdowns

        # Use the config system to update the engine
        tts_engines_config = AlltalkTTSEnginesConfig.get_instance()
        
        # Update the engine and selected model
        for engine in tts_engines_config.engines_available:
            if engine.name == engine_name:
                tts_engines_config.engine_loaded = engine_name
                tts_engines_config.selected_model = engine.selected_model
                break

        # Save changes
        tts_engines_config.save()

        # Restart the subprocess
        restart_subprocess()

        # Wait for the engine to be ready with error handling and retries
        max_retries = 80
        retry_delay = 1  # seconds
        retries = 0
        while retries < max_retries:
            try:
                response = requests.get(url)
                if response.status_code == 200 and response.text == "Ready":
                    break
            except requests.exceptions.RequestException:
                pass

            retries += 1
            if retries == max_retries:
                raise Exception("Failed to connect to the TTS engine after multiple retries.")

            time.sleep(retry_delay)

        # Get updated available models
        models_available = at_settings["models_available"]

        # Update the dropdowns directly
        print_message("")
        print_message("Server Ready")
        
        # Update UI elements
        return_values = at_update_dropdowns()
        
        return (
            "TTS Engine changed successfully!",  # Output message
            *return_values  # Unpack all the UI update values
        )

    ###############################
    # Sends voice2rvc request off #
    ###############################
    def voice2rvc(audio, rvc_voice, rvc_pitch, rvc_f0method):
        debug_func_entry()
        # Save the uploaded or recorded audio to a file
        input_tts_path = this_dir / "outputs" / "voice2rvcInput.wav"
        if rvc_voice == "Disabled":
            print_message("Voice2RVC Convert: No RVC voice was selected")
            return
        if audio == None:
            print_message("Voice2RVC Convert: No recorded audio was provided")
            return
        if isinstance(audio, tuple):
            sample_rate, audio_data = audio
            # Save the numpy array as a wav file
            sf.write(input_tts_path, audio_data, sample_rate)
        else:
            # It's a file path
            os.rename(audio, input_tts_path)

        # Define the output path for the processed audio
        output_rvc_path = this_dir / "outputs" / "voice2rvcOutput.wav"
        if running_on_google_colab:
            url = f"{tunnel_url_1}/api/voice2rvc"
        elif running_in_docker:
            url = f"{docker_url}/api/voice2rvc"
        else:
            url = f"{alltalk_protocol}{alltalk_ip_port}/api/voice2rvc"

        # Submit the paths to the API endpoint
        response = requests.post(url, data={
            "input_tts_path": str(input_tts_path),
            "output_rvc_path": str(output_rvc_path),
            "pth_name": rvc_voice, 
            "pitch": rvc_pitch, 
            "method": str(rvc_f0method), 
        })

        if response.status_code == 200:
            result = response.json()
            if result["status"] == "success":
                result_path = result["output_path"]
            else:
                result_path = None
        else:
            result_path = None

        return result_path

    ##################################################################################################
    # Sends request to reload the current TTS engine model & set the default TTS engine model loaded #
    ##################################################################################################
    def change_model_loaded(engine_name, selected_model):
        debug_func_entry()
        global at_update_dropdowns
        try:
            print_message("")
            print_message("\033[94mChanging model loaded. Please wait.\033[00m")
            print_message("")
            if running_on_google_colab:
                url = f"{tunnel_url_1}/api/reload"
            elif running_in_docker:
                url = f"{docker_url}/api/reload"
            else:
                url = f"{alltalk_protocol}{alltalk_ip_port}/api/reload"
            payload = {"tts_method": selected_model}
            response = requests.post(url, params=payload)
            response.raise_for_status()  # Raises an HTTPError for bad responses
            # Update the tts_engines.json file
            tts_engines_file = os.path.join(this_dir, "system", "tts_engines", "tts_engines.json")
            with open(tts_engines_file, "r") as f:
                tts_engines_data = json.load(f)
            tts_engines_data["selected_model"] = f"{selected_model}"
            for engine in tts_engines_data["engines_available"]:
                if engine["name"] == engine_name:
                    engine["selected_model"] = f"{selected_model}"
                    break
            with open(tts_engines_file, "w") as f:
                json.dump(tts_engines_data, f)
            print_message("")
            print_message("Server Ready")
            gen_stream_value, gen_char_choices, rvcgen_char_choices, gen_narr_choices, rvcgen_narr_choices, gen_speed_interactive, gen_pitch_interactive, gen_temperature_interactive, gen_repetition_interactive, gen_lang_interactive, model_choices_gr_interactive, engine_choices_interactive = at_update_dropdowns()
            return ("TTS Model changed successfully!",  # This is your output message
            gen_stream_value, gen_char_choices, rvcgen_char_choices, gen_narr_choices, rvcgen_narr_choices, gen_speed_interactive, gen_pitch_interactive, gen_temperature_interactive, gen_repetition_interactive, gen_lang_interactive, model_choices_gr_interactive, engine_choices_interactive
            )
        except requests.exceptions.RequestException as e:
            # Handle the HTTP request error
            print_message(f"Error during request to webserver process: Status code:\n{e}", message_type="warning")
            return {"status": "error", "message": str(e)}

    debugging_options = config.debugging
    debugging_choices = list(vars(debugging_options).keys())
    default_values = [key for key, value in vars(debugging_options).items() if value]

    def generate_tts(gen_text, gen_char, rvcgen_char, rvcgen_char_pitch, gen_narr, rvcgen_narr, rvcgen_narr_pitch, gen_narren, gen_textni, gen_repetition, gen_lang, gen_filter, gen_speed, gen_pitch, gen_autopl, gen_autoplvol, gen_filen, gen_temperature, gen_filetime, gen_stream, gen_stopcurrentgen):
        debug_func_entry()
        if running_on_google_colab:
            api_url = f"{tunnel_url_1}/api/tts-generate"
        else:
            api_url = f"http://{my_current_url}/api/tts-generate"
        if gen_text == "":
            print_message("No Text was sent to generate as TTS")
            return None, str("No Text was sent to generate as TTS")
        if gen_stopcurrentgen:
            stop_generate_tts()
        if gen_stream == "true":
            if running_on_google_colab:
                api_url = f"{tunnel_url_1}/api/tts-generate-streaming"
            elif running_in_docker:
                api_url = f"{docker_url}/api/tts-generate-streaming"
            else:
                api_url = f"http://{my_current_url}/api/tts-generate-streaming"
            encoded_text = requests.utils.quote(gen_text)
            streaming_url = f"{api_url}?text={encoded_text}&voice={gen_char}&language={gen_lang}&output_file={gen_filen}"
            return streaming_url, str("TTS Streaming Audio Generated")
        else:
            data = {
                "text_input": gen_text,
                "text_filtering": gen_filter,
                "character_voice_gen": gen_char,
                "rvccharacter_voice_gen": rvcgen_char,
                "rvccharacter_pitch": rvcgen_char_pitch,
                "narrator_enabled": str(gen_narren).lower(),
                "narrator_voice_gen": gen_narr,
                "rvcnarrator_voice_gen": rvcgen_narr,
                "rvcnarrator_pitch": rvcgen_narr_pitch,
                "text_not_inside": gen_textni,
                "language": gen_lang,
                "output_file_name": gen_filen,
                "output_file_timestamp": str(gen_filetime).lower(),
                "autoplay": str(gen_autopl).lower(),
                "autoplay_volume": str(gen_autoplvol),
                "speed": str(gen_speed),
                "pitch": str(gen_pitch),
                "temperature": str(gen_temperature),
                "repetition_penalty": str(gen_repetition),
            }
            print_message("\033[94mDebug of data > def generate_tts > script.py\033[0m", message_type="debug_tts_variables")
            for key, value in data.items():
                print_message(f"{key}: {value}", message_type="debug_tts_variables")
            print_message(f"API Url being used: {api_url}", message_type="debug_tts_variables")
            max_retries = 180 #3 minutes
            retry_delay = 1  # seconds
            retries = 0
            while retries < max_retries:
                try:
                    response = requests.post(api_url, data=data, timeout=60)
                    response.raise_for_status()
                    result = response.json()
                    if gen_autopl == "true":
                        return None, str("TTS Audio Generated (Played remotely)")
                    else:
                        if config.api_def.api_use_legacy_api:
                            return result['output_file_url'], str("TTS Audio Generated")
                        else:
                            # Set the protocol type
                            protocol = "http://"  # or "https://" if using HTTPS
                            # Prepend the URL and PORT to the output_file_url
                            if running_on_google_colab:
                                output_file_url = f"{tunnel_url_1}{result['output_file_url']}"
                            elif running_in_docker:
                                output_file_url = f"{docker_url}{result['output_file_url']}"
                            else:
                                output_file_url = f"{protocol}{my_current_url}{result['output_file_url']}"
                            return output_file_url, str("TTS Audio Generated")
                except requests.exceptions.Timeout:
                    retries += 1
                    if retries == max_retries:
                        error_message = "Request timed out after maximum retries"
                        print_message(f"Error: {error_message}", message_type="error")
                        return None, str(error_message)
                except json.JSONDecodeError as e:
                    retries += 1
                    if retries == max_retries:
                        error_message = "Failed to parse API response"
                        print_message(f"Error: {error_message}", message_type="error")
                        print_message(f"Error Details: {str(e)}", message_type="error")
                        print_message(f"Raw response: {response.content}", message_type="error")
                        return None, str(error_message)
                except requests.exceptions.RequestException as e:
                    retries += 1
                    if retries == max_retries:
                        error_message = "An error occurred while communicating with the API"
                        print_message(f"Error: {error_message}", message_type="error")
                        print_message(f"Error Details: {str(e)}", message_type="error")
                        return None, str(error_message)
                    time.sleep(retry_delay)

    def alltalk_gradio():
        debug_func_entry()
        global languages_list, at_settings
        # Get the URL IP or domain name
        def get_domain_name(request: gr.Request):
            global my_current_url
            if running_on_google_colab:
                my_current_url = tunnel_url_1
                return None
            elif running_in_docker:
                my_current_url = docker_url
                return None
            if request:
                host = request.headers.get("host", "Unknown")
                my_current_url = host.split(":")[0]  # Split the host by ":" and take the first part
                my_current_url = my_current_url + ":" + str(config.api_def.api_port_number)
                return None
            else:
                return "Unable to retrieve the domain name."

        # Get the list of languages from languages
        languages = list(languages_list.keys())
        with gr.Blocks(theme=selected_theme, title="AllTalk", analytics_enabled=False) as app:
            with gr.Row():
                gr.Markdown("## AllTalk TTS")
                gr.Markdown("")
                gr.Markdown("")
                dark_mode_btn = gr.Button("Light/Dark Mode", variant="primary", size="sm")
                dark_mode_btn.click(None, None, None,
                js="""() => {
                    if (document.querySelectorAll('.dark').length) {
                        document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
                        // localStorage.setItem('darkMode', 'disabled');
                    } else {
                        document.querySelector('body').classList.add('dark');
                        // localStorage.setItem('darkMode', 'enabled');
                    }
                }""", show_api=False)
            if config.firstrun_splash:
                alltalk_welcome()
            with gr.Tab("Generate TTS"):
                with gr.Tab("Generate"):
                    with gr.Row():
                        gen_text = gr.Textbox(label="Text Input", lines=10)
                    if running_in_docker:
                        with gr.Row():
                            with gr.Accordion("Docker IP/URL for API Address updater", open=False):
                                with gr.Row():
                                    docker_url = f"http://localhost:{config.api_def.api_port_number}"
                                    docker_upd = gr.Textbox(label="Docker IP/URL for API Address", value=docker_url, show_label=False)
                                    update_docker_btn = gr.Button("Update Docker IP/URL API Address")
                                def update_docker_address(new_url):
                                    global docker_url  # Need this to modify the global variable
                                    docker_url = new_url
                                    return f"Docker API address updated to: {new_url}"
                                update_docker_btn.click(
                                    fn=update_docker_address,
                                    inputs=[docker_upd],
                                    outputs=[gr.Text(label="Status")]
                                )
                    with gr.Row():
                        with gr.Group():
                            with gr.Row():
                                engine_choices = gr.Dropdown(choices=engines_available, label="TTS Engine", value=engine_loaded, show_label=False)
                                engine_btn = gr.Button("Swap TTS Engine")
                        with gr.Group():
                            with gr.Row():
                                model_choices_gr = gr.Dropdown(choices=models_available, label="TTS Models", value=current_model_loaded, interactive=True, show_label=False, allow_custom_value=True)
                                model_btn_gr = gr.Button("Load Different Model")
                    with gr.Group():
                        at_available_voices_gr = at_settings["voices"]
                        rvcat_available_voices_gr = at_settings["rvcvoices"]
                        with gr.Row():
                            at_default_voice_gr = config.tgwui.tgwui_character_voice
                            if at_default_voice_gr not in at_available_voices_gr:
                                at_default_voice_gr = at_available_voices_gr[0] if at_available_voices_gr else ""
                            gen_char = gr.Dropdown(choices=at_available_voices_gr, label="Character Voice", value=at_default_voice_gr, allow_custom_value=True,)
                            rvcat_default_voice_gr = config.rvc_settings.rvc_char_model_file
                            if rvcat_default_voice_gr not in rvcat_available_voices_gr:
                                rvcat_default_voice_gr = rvcat_available_voices_gr[0] if rvcat_available_voices_gr else ""
                            rvcgen_char = gr.Dropdown(choices=rvcat_available_voices_gr, label="RVC Character Voice", value=rvcat_default_voice_gr, allow_custom_value=True,)
                            at_narrator_voice_gr = config.tgwui.tgwui_narrator_voice
                            if at_narrator_voice_gr not in at_available_voices_gr:
                                at_narrator_voice_gr = at_available_voices_gr[0] if at_available_voices_gr else ""
                            gen_narr = gr.Dropdown(choices=at_available_voices_gr, label="Narrator Voice", value=at_narrator_voice_gr, allow_custom_value=True,)
                            rvcat_narrator_voice_gr = config.rvc_settings.rvc_narr_model_file
                            if rvcat_narrator_voice_gr not in rvcat_available_voices_gr:
                                rvcat_narrator_voice_gr = rvcat_available_voices_gr[0] if rvcat_available_voices_gr else ""
                            rvcgen_narr = gr.Dropdown(choices=rvcat_available_voices_gr, label="RVC Narrator Voice", value=rvcat_narrator_voice_gr, allow_custom_value=True,)
                    with gr.Group():
                        with gr.Row():
                            rvcat_default_pitch_gr = gr.Slider(
                                minimum=-24,
                                maximum=24,
                                step=1,
                                label="RVC Character Pitch",
                                info="Corrects the Character input TTS pitch to match the desired RVC voice output pitch.",
                                value=config.rvc_settings.pitch,
                                interactive=True,
                                visible=False
                            )
                            rvcat_narrator_pitch_gr = gr.Slider(
                                minimum=-24,
                                maximum=24,
                                step=1,
                                label="RVC Narrator Pitch",
                                info="Corrects the Narrator input TTS pitch to match the desired RVC voice output pitch.",
                                value=config.rvc_settings.pitch,
                                interactive=True,
                                visible=False
                            )
                            def update_visibility(char_voice, narr_voice):
                                is_visible = char_voice != "Disabled" or narr_voice != "Disabled"
                                return gr.update(visible=is_visible), gr.update(visible=is_visible)
                            rvcgen_char.change(fn=update_visibility, inputs=[rvcgen_char, rvcgen_narr], outputs=[rvcat_default_pitch_gr, rvcat_narrator_pitch_gr])
                            rvcgen_narr.change(fn=update_visibility, inputs=[rvcgen_char, rvcgen_narr], outputs=[rvcat_default_pitch_gr, rvcat_narrator_pitch_gr])

                    with gr.Accordion("Advanced Engine/Model Settings", open=False):
                        with gr.Row():
                            #Get the current URL from the page
                            domain_name_output = gr.Textbox(label="Domain Name", visible=False)
                            def on_load(request: gr.Request):
                                domain_name = get_domain_name(request)
                                domain_name_output.value = domain_name
                            app.load(on_load, inputs=None, outputs=None)
                            if at_settings["streaming_capable"]:
                                gen_choices = [("Standard", "false"), ("Streaming (Disable Narrator)", "true")]
                            else:
                                gen_choices = [("Standard", "false")]
                            #Continue on with the Gradio interface
                            gen_stream = gr.Dropdown(choices=gen_choices, label="Generation Mode", value="false")
                            gen_lang = gr.Dropdown(value=config.api_def.api_language, choices=["ar", "zh", "cs", "nl", "en", "fr", "de", "hi", "hu", "it", "ja", "ko", "pl", "pt", "ru", "es", "tr"], label="Languages" if at_settings["languages_capable"] else "Model not multi language", interactive=at_settings["languages_capable"], allow_custom_value=True)
                            gen_narren = gr.Dropdown(choices=[("Enabled", "true"), ("Disabled", "false"), ("Enabled (Silent)", "silent")], label="Narrator Enabled/Disabled", value="true" if config.api_def.api_narrator_enabled == "true" else ("silent" if config.api_def.api_narrator_enabled == "silent" else "false"), allow_custom_value=True)
                            gen_textni = gr.Dropdown(choices=[("Character", "character"), ("Narrator", "narrator"), ("Silent", "silent")], label="Narrator Text-not-inside", value=config.api_def.api_text_not_inside)
                            gen_stopcurrentgen = gr.Dropdown(choices={("Stop", "true"), ("Dont stop", "false")}, label="Auto-Stop current generation", value="true")
                        with gr.Row():
                            gen_filter = gr.Dropdown(value=config.api_def.api_text_filtering, label="Text filtering", choices=["none", "standard", "html"])
                            gen_filetime = gr.Dropdown(
                                choices=[("Timestamp files", "true"), ("Dont Timestamp (Over-write)", "false")],
                                label="Include Timestamp",
                                value="true" if config.api_def.api_output_file_timestamp else "false",
                                allow_custom_value=True
                            )
                            gen_autopl = gr.Dropdown(choices={("Play locally", "false"), ("Play remotely", "true")}, label="Play Locally or Remotely", value="true" if config.api_def.api_autoplay else "false", allow_custom_value=True)
                            gen_autoplvol = gr.Dropdown(choices=[str(i / 10) for i in range(11)], value=str(config.api_def.api_autoplay_volume), label="Remote play volume", allow_custom_value=True)
                            gen_filen = gr.Textbox(value=config.api_def.api_output_file_name, label="Output File Name")
                        with gr.Row():
                            gen_speed = gr.Slider(minimum=0.25, maximum=2.00, step=0.25, label="Speed", value="1.00", interactive=at_settings["generationspeed_capable"])
                            gen_pitch = gr.Slider(minimum=-10, maximum=10, step=1, label="Pitch", value="1", interactive=at_settings["pitch_capable"])
                            gen_temperature = gr.Slider(minimum=0.05, maximum=1.0, step=0.05, label="Temperature", value=0.75, interactive=at_settings["temperature_capable"])
                            gen_repetition = gr.Slider(minimum=1.0, maximum=20.0, step=1.0, label="Repetition Penalty", value=10, interactive=at_settings["repetitionpenalty_capable"])
                    #Toggle narrator selection on Streaming select
                    def update_narren_and_autopl(gen_stream):
                        debug_func_entry()
                        if gen_stream == "true":
                            return "false", "false"
                        else:
                            return gen_narren.value, gen_autopl.value
                    gen_stream.change(update_narren_and_autopl, inputs=[gen_stream], outputs=[gen_narren, gen_autopl])
                    with gr.Row():
                        output_audio = gr.Audio(show_label=False, label="Generated Audio", autoplay=True, scale=3)
                        output_message = gr.Textbox( label="TTS Result", lines=5, scale=1)
                    with gr.Row():
                        dark_mode_btn = gr.Button("Light/Dark Mode", variant="primary")
                        refresh_button = gr.Button("Refresh Server Settings", elem_id="refresh_button")
                        stop_button = gr.Button("Interupt TTS Generation")
                        submit_button = gr.Button("Generate TTS")

                    model_btn_gr.click(fn=change_model_loaded, inputs=[engine_choices, model_choices_gr], outputs=[output_message, gen_stream, gen_char, rvcgen_char, gen_narr, rvcgen_narr, gen_speed, gen_pitch, gen_temperature, gen_repetition, gen_lang, model_choices_gr, engine_choices])
                    engine_btn.click(fn=set_engine_loaded, inputs=[engine_choices], outputs=[output_message, gen_stream, gen_char, rvcgen_char, gen_narr, rvcgen_narr, gen_speed, gen_pitch, gen_temperature, gen_repetition, gen_lang, model_choices_gr, engine_choices])

                    dark_mode_btn.click(None, None, None,
                        js="""() => {
                            if (document.querySelectorAll('.dark').length) {
                                document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
                                // localStorage.setItem('darkMode', 'disabled');
                            } else {
                                document.querySelector('body').classList.add('dark');
                                // localStorage.setItem('darkMode', 'enabled');
                            }
                        }""", show_api=False)
                    refresh_button.click(at_update_dropdowns, None, [gen_stream, gen_char, rvcgen_char, gen_narr, rvcgen_narr, gen_speed, gen_pitch, gen_temperature, gen_repetition, gen_lang, model_choices_gr, engine_choices])
                    stop_button.click(stop_generate_tts, inputs=[], outputs=[output_message])
                    submit_button.click(generate_tts, inputs=[gen_text, gen_char, rvcgen_char, rvcat_default_pitch_gr, gen_narr, rvcgen_narr, rvcat_narrator_pitch_gr, gen_narren, gen_textni, gen_repetition, gen_lang, gen_filter, gen_speed, gen_pitch, gen_autopl, gen_autoplvol, gen_filen, gen_temperature, gen_filetime, gen_stream, gen_stopcurrentgen], outputs=[output_audio, output_message])

                if config.gradio_pages.Generate_Help_page:
                    with gr.Tab("Generate Help"):
                        help_content = alltalk_generation_help()
                        gr.Markdown(help_content)

            if config.gradio_pages.Voice2RVC_page:
                with gr.Tab("Voice2RVC"):
                    gr.Markdown("""Voice2RVC allows you to convert your spoken audio files into synthesized speech using advanced RVC (Retrieval-based Voice Conversion) models. You can either record your own speech or upload a pre-recorded audio file for processing. The tool offers features trim your input audio and undo changes if necessary. Simply record or upload your audio, select an RVC voice model, and submit it for processing. Once completed, you can download your synthesized speech.""")
                    with gr.Row():
                        audio_input = gr.Audio(sources=["microphone", "upload"], type="numpy", label="Record audio or Upload a spoken audio file")
                    if running_in_docker:
                        with gr.Row():
                            with gr.Accordion("Docker IP/URL for API Address updater", open=False):
                                with gr.Row():
                                    docker_url = f"http://localhost:{config.api_def.api_port_number}"
                                    docker_upd = gr.Textbox(label="Docker IP/URL for API Address", value=docker_url, show_label=False)
                                    update_docker_btn = gr.Button("Update Docker IP/URL API Address")
                                update_docker_btn.click(
                                    fn=update_docker_address,
                                    inputs=[docker_upd],
                                    outputs=[gr.Text(label="Status")]
                                )
                    with gr.Row():
                        rvc_voices_dropdown = gr.Dropdown(choices=at_settings["rvcvoices"], label="Select RVC Voice to generate as", value=at_settings["rvcvoices"][0], scale=1)
                        rvc_pitch_slider = gr.Slider(minimum=-24, maximum=24, step=1, label="RVC Pitch", info="Depending on the pitch of your input audio, you will need to adjust this accordingly to change the pitch for the output voice. The higher the value, the higher the pitch.", value=0, interactive=True, scale=2)
                    with gr.Row():
                        rvc_f0method = gr.Radio(label="Pitch Extraction Algorithm", info="Select the algorithm to be used for extracting the pitch (F0) during audio conversion. The default algorithm is rmvpe, which is generally recommended for most cases due to its balance of accuracy and performance.", choices=["crepe", "crepe-tiny", "dio", "fcpe", "harvest", "hybrid[rmvpe+fcpe]", "pm", "rmvpe"], value=config.rvc_settings.f0method, interactive=True, scale=1)
                        submit_button = gr.Button("Submit to RVC", scale=0)
                    audio_output = gr.Audio(label="Converted Audio")

                    submit_button.click(fn=voice2rvc, inputs=[audio_input, rvc_voices_dropdown, rvc_pitch_slider, rvc_f0method], outputs=audio_output)

            if config.gradio_pages.TTS_Generator_page:
                with gr.Tab("TTS Generator"):
                    gr.Markdown("""With the TTS Generator you can create incredibly long audio e.g. entire books. Yet to be migrated into Gradio""")
                    gr.Markdown("""Please find it on the web address http://127.0.0.1:7851/static/tts_generator/tts_generator.html (Assuming you have not changed your IP Address)""")

            with gr.Tab("Global Settings"):
                with gr.Tab("AllTalk Settings"):
                    with gr.Row():
                        delete_output_wavs = gr.Dropdown(value=config.delete_output_wavs, label="Del WAV's older than", choices=["Disabled", "1 Day", "2 Days", "3 Days", "4 Days", "5 Days", "6 Days", "7 Days", "14 Days", "21 Days", "28 Days"])
                        api_port_number = gr.Number(
                            value=config.api_def.api_port_number,
                            label="API Port Number",
                            precision=0
                        )
                        gradio_port_number = gr.Number(
                            value=config.gradio_port_number,
                            label="Gradio Port Number",
                            precision=0
                        )
                        output_folder = gr.Textbox(
                            value=config.output_folder,
                            label=f"Output Folder name (sub {config.branding})"
                        )
                    with gr.Row():
                        transcode_audio_format = gr.Dropdown(choices={"Disabled": "disabled", "aac": "aac", "flac": "flac", "mp3": "mp3", "opus": "opus", "wav": "wav"}, label="Audio Transcoding", value=config.transcode_audio_format)
                        with gr.Row():
                            themes_select = gr.Dropdown(loadThemes.get_list(), value=loadThemes.read_json(), label="Gradio Theme Selection", visible=True)
                            def update_theme_selection(theme_name):
                                config = AlltalkConfig.get_instance()
                                config.theme.clazz = theme_name
                                config.save()  # Save the updated configuration
                                return f"Theme '{theme_name}' has been selected and saved."
                            themes_select.change(
                                fn=update_theme_selection, 
                                inputs=[themes_select], 
                                outputs=[gr.Textbox(label="Gradio Selection Result")]
                            )
                    with gr.Row():
                        with gr.Column():
                            gr_debug_tts = gr.CheckboxGroup(choices=debugging_choices, label="Debugging Options list", value=default_values)
                        with gr.Column():
                            gradio_interface = gr.Dropdown(choices={"Enabled": "true", "Disabled": "false"}, label="Gradio Interface", value="Enabled" if config.gradio_interface else "Disabled", info="**WARNING**: This will disable the AllTalk Gradio interface from loading. To re-enable the interface, go to the API address in a web browser and enable it there. http://127.0.0.1:7851/", allow_custom_value=True)
                    gr.Markdown("### Disable Gradio Interface Tabs")  # Adds a title
                    gr.Markdown("Use the checkboxes below to enable or disable individual interface tabs or components.")
                    with gr.Group():
                        with gr.Row():
                            generate_help_page = gr.Checkbox(label="Generate Help", value=config.gradio_pages.Generate_Help_page)
                            voice2rvc_page = gr.Checkbox(label="Voice2RVC", value=config.gradio_pages.Voice2RVC_page)
                            tts_generator_page = gr.Checkbox(label="TTS Generator", value=config.gradio_pages.TTS_Generator_page)
                            tts_engines_settings_page = gr.Checkbox(label="TTS Engines Settings", value=config.gradio_pages.TTS_Engines_Settings_page)
                            alltalk_documentation_page = gr.Checkbox(label="AllTalk Documentation", value=config.gradio_pages.alltalk_documentation_page)
                            api_documentation_page = gr.Checkbox(label="API Documentation", value=config.gradio_pages.api_documentation_page)

                    with gr.Row():
                        submit_button = gr.Button("Update Settings")
                        output_message = gr.Textbox(label="Output Message", interactive=False, show_label=False)

                    # Update the function to include these new settings
                    submit_button.click(
                        update_settings_at,
                        inputs=[delete_output_wavs, gradio_interface, gradio_port_number, output_folder, api_port_number, gr_debug_tts, transcode_audio_format, generate_help_page, voice2rvc_page, tts_generator_page, tts_engines_settings_page, alltalk_documentation_page, api_documentation_page],
                        outputs=output_message
                    )

                with gr.Tab("AllTalk API Defaults"):
                    gr.Markdown("""## &nbsp;&nbsp;API Version Settings""")
                    with gr.Group():
                        with gr.Row():
                            api_use_legacy_api = gr.Dropdown(choices=["AllTalk v2 API", "AllTalk v1 API (Legacy)"], label=f"{branding} API version", value=config.api_def.api_use_legacy_api, scale=1, allow_custom_value=True)
                            gr.Textbox(value="Determines the API version to use. The legacy API includes the full URL (protocol, IP address, and port) in the output responses, while the new API returns only the relative path of the output file. Default: AllTalk v2 API", interactive=False, show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_legacy_ip_address = gr.Textbox(value=config.api_def.api_legacy_ip_address, label="AllTalk v1 API IP address")
                            gr.Textbox(value="Specifies the IP address to be included in the output responses when using the legacy API. Default: 127.0.0.1", interactive=False,show_label=False, lines=2, scale=4)
                    gr.Markdown("""## &nbsp;&nbsp;API Default Settings""")
                    with gr.Group():
                        with gr.Row():
                            api_length_stripping =  gr.Slider(minimum=1, maximum=20, step=1, value=int(config.api_def.api_length_stripping), label="Strip sentences shorter than", scale=1)
                            gr.Textbox(value="Defines the minimum length of a sentence (in characters) that will be processed for text-to-speech. Sentences shorter than the X characters value will be filtered out by the Narrator to remove unwanted text characters. Default: 3", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_max_characters = gr.Slider(minimum=50, maximum=10000, step=50, value=int(config.api_def.api_max_characters), label="Maximum amount of characters")
                            gr.Textbox(value="Sets the maximum number of characters allowed in a single text-to-speech generation request. Requests exceeding this limit will be rejected. Default: 2000", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_text_filtering = gr.Dropdown(value=config.api_def.api_text_filtering, label="Text filtering", choices=["none", "standard", "html"])
                            gr.Textbox(value="Determines the text filtering method applied to the input text before processing. Available options are 'none' (no filtering), 'standard' (basic filtering), and 'html' (HTML-specific filtering). Default: Standard", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_language = gr.Dropdown(value=config.api_def.api_language, label="Language", choices=["ar", "zh", "cs", "nl", "en", "fr", "de", "hi", "hu", "it", "ja", "ko", "pl", "pt", "ru", "es", "tr"])
                            gr.Textbox(value="Sets the default language for text-to-speech if no language is explicitly provided in the request. Default: en", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_narrator_enabled = gr.Dropdown(
                                choices={("Enabled", "true"), ("Disabled", "false"), ("Enabled (Silent)", "silent")},
                                label="Narrator Enabled/Disable/Silent",
                                value=config.api_def.api_narrator_enabled
                            )
                            gr.Textbox(value="Determines whether the narrator functionality is enabled by default when not explicitly specified in the request. Please note, if you set `Enabled` or `Enabled (silent)` as the APi defaults, then all text will go into the narrator function unless `disabled` is sent as part of the TTS generation request, possibly resulting in silenced TTS. Default: Disabled", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_text_not_inside = gr.Dropdown(choices={"character", "narrator", "silent"}, label="Narrator Text-not-inside", value=config.api_def.api_text_not_inside)
                            gr.Textbox(value="Defines how narrated text is split and processed when not explicitly specified in the request. The available options are 'character' (text is associated with the character) and 'narrator' (text is associated with the narrator). Default: Narrator", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_output_file_name = gr.Textbox(value=config.api_def.api_output_file_name, label="Output file name")
                            gr.Textbox(value="Specifies the default name for the output file when no filename is provided in the request. Default: myoutputfile", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_output_file_timestamp = gr.Dropdown(choices={"Timestamp files", "Dont Timestamp (Over-write)"}, label="Include Timestamp", value="Timestamp files" if config.api_def.api_output_file_timestamp else "Dont Timestamp (Over-write)", allow_custom_value=True)
                            gr.Textbox(value="Determines whether a unique identifier (UUID) timestamp is appended to the generated text-to-speech output file. When enabled, each output file will have a unique timestamp, preventing overwriting of files. When disabled, files with the same name will be overwritten. Default: Timestamp files", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_autoplay = gr.Dropdown(choices={"Play locally", "Play remotely"}, label="Play Locally or Remotely", value="Play remotely" if config.api_def.api_autoplay else "Play locally", allow_custom_value=True)
                            gr.Textbox(value="Specifies whether the generated audio should be played locally on the client-side or remotely on the server-side console/terminal. Default: Play locally", interactive=False,show_label=False, lines=2, scale=4)
                        with gr.Row():
                            api_autoplay_volume = gr.Slider(minimum=0.1, maximum=0.9, step=0.1, label="Remote play volume", value=float(config.api_def.api_autoplay_volume))
                            gr.Textbox(value="Adjusts the volume level for audio playback when the 'Play Remotely' option is selected. The value ranges from 0.1 (lowest) to 0.9 (highest). Default: 0.9", interactive=False,show_label=False, lines=2, scale=4)
                    gr.Markdown("""## &nbsp;&nbsp;API Allowed Text Filtering/Passthrough Settings""")
                    with gr.Row():
                        api_allowed_filter = gr.Textbox(value=config.api_def.api_allowed_filter, label="Allowed text filter", show_label=False, lines=6, scale=1)
                        gr.Textbox(value="""Defines the set of characters and Unicode ranges that are permitted to be processed by the AllTalk TTS system. This filter ensures that only valid and supported characters are passed to the TTS engine or AI model for generation. The allowed characters include ASCII letters and digits, punctuation, whitespace, and various Unicode ranges for different languages and scripts.

                        a-zA-Z0-9: ASCII letters and digits
                        .,;:!?: Punctuation characters
                        '": Single and double quotes
                        \s: Whitespace characters
                        \-: Hyphen/dash
                        $: Dollar sign
                        \\u00C0-\\u00FF: Latin characters with diacritics (À-ÿ)
                        \\u0400-\\u04FF: Cyrillic characters
                        \\u0900-\\u097F: Devanagari characters
                        \\u4E00-\\u9FFF: Chinese characters (CJK Unified Ideographs)
                        \\u3400-\\u4DBF: Chinese characters (CJK Unified Ideographs Extension A)
                        \\uF900-\\uFAFF: Chinese characters (CJK Compatibility Ideographs)
                        \\u0600-\\u06FF: Arabic characters (Arabic)
                        \\u0750-\\u077F: Arabic characters (Arabic Supplement)
                        \\uFB50-\\uFDFF: Arabic characters (Arabic Presentation Forms-A)
                        \\uFE70-\\uFEFF: Arabic characters (Arabic Presentation Forms-B)
                        \\u3040-\\u309F: Hiragana characters (Japanese)
                        \\u30A0-\\u30FF: Katakana characters (Japanese)
                        \\uAC00-\\uD7A3: Hangul Syllables (Korean)
                        \\u1100-\\u11FF: Hangul Jamo (Korean)
                        \\u3130-\\u318F: Hangul Compatibility Jamo (Korean)
                        \\u0150\\u0151\\u0170\\u0171: Hungarian characters
                        \\u2018\\u2019: Left and right single quotation marks
                        \\u201C\\u201D: Left and right double quotation marks
                        \\u3001\\u3002: Ideographic comma and full stop
                        \\uFF01\\uFF0C\\uFF1A\\uFF1B\\uFF1F: Fullwidth exclamation, comma, colon, semicolon & question mark
                        """, interactive=False,show_label=False, lines=32, scale=1)
                    with gr.Row():
                        submit_button = gr.Button("Update Settings")
                        output_message = gr.Textbox(label="Output Message", interactive=False, show_label=False)

                    submit_button.click(update_settings_api, inputs=[api_length_stripping, api_legacy_ip_address, api_allowed_filter, api_max_characters, api_use_legacy_api, api_text_filtering, api_narrator_enabled, api_text_not_inside, api_language, api_output_file_name, api_output_file_timestamp, api_autoplay, api_autoplay_volume], outputs=output_message)

                def rvc_update_dropdowns():
                    debug_func_entry()
                    global at_settings
                    at_settings = get_alltalk_settings()   # Pull all the current settings from the AllTalk server, if its online.
                    current_voices = at_settings["rvcvoices"]
                    current_char = config.rvc_settings.rvc_char_model_file
                    current_narr = config.rvc_settings.rvc_narr_model_file
                    if current_char not in current_voices:
                        current_char = current_voices[0] if current_voices else ""
                    if current_narr not in current_voices:
                        current_narr = current_voices[0] if current_voices else ""
                    return (
                        gr.Dropdown(choices=current_voices, value=current_char, interactive=True),
                        gr.Dropdown(choices=current_voices, value=current_narr, interactive=True),
                    )

                def gr_update_rvc_settings(rvc_enabled, rvc_char_model_file, rvc_narr_model_file, split_audio, autotune, pitch,
                                        filter_radius, index_rate, rms_mix_rate, protect, hop_length, f0method, embedder_model, training_data_size):
                    debug_func_entry()
                    progress = gr.Progress(track_tqdm=True)
                    return update_rvc_settings(rvc_enabled, rvc_char_model_file, rvc_narr_model_file, split_audio, autotune, pitch,
                                            filter_radius, index_rate, rms_mix_rate, protect, hop_length, f0method, embedder_model, training_data_size, progress)

                with gr.Tab("RVC Settings"):
                    with gr.Row():
                        with gr.Column(scale=3):
                            with gr.Row():
                                rvc_model_file_available = at_settings["rvcvoices"]
                                rvc_char_model_file_default = config.rvc_settings.rvc_char_model_file
                                if rvc_char_model_file_default not in rvc_model_file_available:
                                    rvc_char_model_file_default = rvc_model_file_available[0] if rvc_model_file_available else ""
                                rvc_char_model_file_gr = gr.Dropdown(choices=rvc_model_file_available, label="Default Character Voice Model", info="Select the Character voice model used for conversion.", value=rvc_char_model_file_default, allow_custom_value=True,)
                                rvc_narr_model_file_default = config.rvc_settings.rvc_narr_model_file
                                if rvc_narr_model_file_default not in rvc_model_file_available:
                                    rvc_narr_model_file_default = rvc_model_file_available[0] if rvc_model_file_available else ""
                                rvc_narr_model_file_gr = gr.Dropdown(choices=rvc_model_file_available, label="Default Narrator Voice Model", info="Select the Narrator voice model used for conversion.", value=rvc_narr_model_file_default, allow_custom_value=True,)
                                rvc_refresh_button = gr.Button("Refresh Model Choices")
                        with gr.Column(scale=0):
                            rvc_enabled = gr.Checkbox(label="Enable RVC", info="RVC (Real-Time Voice Cloning) enhances TTS by replicating voice characteristics for characters or narrators, adding depth to synthesized speech.", value=config.rvc_settings.rvc_enabled, interactive=True)
                    with gr.Row(equal_height=True):
                        with gr.Column():
                            pitch = gr.Slider(minimum=-24, maximum=24, step=1, label="Pitch", info="Set the pitch of the audio, the higher the value, the higher the pitch.", value=config.rvc_settings.pitch, interactive=True)
                        with gr.Column():
                            hop_length = gr.Slider(minimum=1, maximum=512, step=1, label="Hop Length", info="Smaller hop lengths require more time for inference but tend to yield higher pitch accuracy.", value=config.rvc_settings.hop_length, interactive=True,)
                    with gr.Row(equal_height=True):
                        with gr.Column():
                            training_data_size = gr.Slider(minimum=10000, maximum=100000, step=5000, label="Training Data Size",  info="Determines the number of training data points used to train the FAISS index. Increasing the size may improve the quality but can also increase computation time.", value=config.rvc_settings.training_data_size, interactive=True)
                        with gr.Column():
                            index_rate = gr.Slider(minimum=0, maximum=1, label="Index Influence Ratio",  info="Sets the influence exerted by the index file on the final output. A higher value increases the impact of the index, potentially enhancing detail but also increasing the risk of artifacts.",  value=config.rvc_settings.index_rate, interactive=True)
                    with gr.Row(equal_height=True):
                        with gr.Column():
                            rms_mix_rate = gr.Slider(minimum=0, maximum=1, label="Volume Envelope", info="Substitute or blend with the volume envelope of the output. The closer the ratio is to 1, the more the output envelope is employed.", value=config.rvc_settings.rms_mix_rate, interactive=True,)
                        with gr.Column():
                            protect = gr.Slider(minimum=0, maximum=0.5, label="Protect Voiceless Consonants/Breath sounds", info="Prevents sound artifacts. Higher values (up to 0.5) provide stronger protection but may affect indexing.", value=config.rvc_settings.protect, interactive=True,)
                        with gr.Column():
                            filter_radius = gr.Slider(minimum=0, maximum=7, label="Filter Radius", info="If the number is greater than or equal to three, employing median filtering on the collected tone results has the potential to decrease respiration.", value=config.rvc_settings.filter_radius, step=1, interactive=True,)
                    with gr.Row():
                        with gr.Column():
                            with gr.Row():
                                embedder_model = gr.Radio(label="Embedder Model", info="Model used for learning speaker embedding.", choices=["hubert", "contentvec"], value=config.rvc_settings.embedder_model, interactive=True,)
                            with gr.Row():
                                split_audio = gr.Checkbox(label="Split Audio", info="Split the audio into chunks for inference to obtain better results in some cases.", value=config.rvc_settings.split_audio, interactive=True,)
                                autotune = gr.Checkbox(label="Autotune", info="Apply a soft autotune to your inferences, recommended for singing conversions.", value=config.rvc_settings.autotune, interactive=True,)
                        with gr.Column():
                            f0method = gr.Radio(label="Pitch Extraction Algorithm", info="Select the algorithm to be used for extracting the pitch (F0) during audio conversion. The default algorithm is rmvpe, which is generally recommended for most cases due to its balance of accuracy and performance.", choices=["crepe", "crepe-tiny", "dio", "fcpe", "harvest", "hybrid[rmvpe+fcpe]", "pm", "rmvpe"], value=config.rvc_settings.f0method, interactive=True,)
                    with gr.Row():
                        update_button = gr.Button("Update RVC Settings")
                        update_output = gr.Textbox(label="Update Status", show_label=False)
                    rvc_refresh_button.click(rvc_update_dropdowns, None, [rvc_char_model_file_gr, rvc_narr_model_file_gr])
                    update_button.click(fn=gr_update_rvc_settings, inputs=[rvc_enabled, rvc_char_model_file_gr, rvc_narr_model_file_gr, split_audio, autotune, pitch, filter_radius, index_rate, rms_mix_rate, protect, hop_length, f0method, embedder_model, training_data_size], outputs=[update_output])

                with gr.Tab("Text-generation-webui Settings"):
                    with gr.Row():
                        activate = gr.Dropdown(choices={"Enabled": "true", "Disabled": "false"}, label="Activate TTS", value="Enabled" if config.tgwui.tgwui_activate_tts else "Disabled", allow_custom_value=True)
                        autoplay = gr.Dropdown(choices={"Enabled": "true", "Disabled": "false"}, label="Autoplay TTS", value="Enabled" if config.tgwui.tgwui_autoplay_tts else "Disabled", allow_custom_value=True)
                        show_text = gr.Dropdown(choices={"Enabled": "true", "Disabled": "false"}, label="Show Text", value="Enabled" if config.tgwui.tgwui_show_text else "Disabled", allow_custom_value=True)
                        narrator_enabled = gr.Dropdown(choices=[("Enabled", "true"), ("Disabled", "false"), ("Enabled (Silent)", "silent")], label="Narrator enabled", value="true" if config.tgwui.tgwui_narrator_enabled == "true" else ("silent" if config.tgwui.tgwui_narrator_enabled == "silent" else "false"), allow_custom_value=True)
                        language = gr.Dropdown(value=config.tgwui.tgwui_language, label="Default Language", choices=languages_list, allow_custom_value=True)
                    with gr.Row():
                        submit_button = gr.Button("Update Settings")
                        output_message = gr.Textbox(label="Output Message", interactive=False, show_label=False)

                    submit_button.click(update_settings_tgwui, inputs=[activate, autoplay, show_text, language, narrator_enabled], outputs=output_message)

                disk_space_page = get_disk_interface()
                disk_space_page()

            if config.gradio_pages.TTS_Engines_Settings_page:
                with gr.Tab("TTS Engines Settings"):
                    with gr.Tabs():
                        for engine_name in engines_available:
                            with gr.Tab(f"{engine_name.capitalize()} TTS"):
                                gr.Markdown(f"### &nbsp;&nbsp;{engine_name.capitalize()} TTS")
                                globals()[f"{engine_name}_at_gradio_settings_page"](globals()[f"{engine_name}_model_config_data"])

            if config.gradio_pages.alltalk_documentation_page:
                alltalk_documentation()

            if config.gradio_pages.api_documentation_page:
                api_documentation()

            with gr.Tab("About this project"):
                alltalk_about()

        return app

    if __name__ == "__main__":
        app = alltalk_gradio().queue()
        app.launch(server_name="0.0.0.0", server_port=config.gradio_port_number, prevent_thread_lock=True, quiet=True)

    if not running_in_standalone:
        app = alltalk_gradio().queue()
        app.launch(server_name="0.0.0.0", server_port=config.gradio_port_number, prevent_thread_lock=True, quiet=True)

#########################################
# START-UP # Final Splash before Gradio #
#########################################
print_message("Please use \033[91mCtrl+C\033[0m when exiting AllTalk otherwise a")
print_message("subprocess may continue running in the background.")
print_message("")
print_message("Server Ready")

###############################################################################################
# START-UP # Loop to keep the script from exiting out if its being run as a standalone script #
###############################################################################################
if running_in_standalone:
    while True:
        try:
            time.sleep(1)  # Add a small delay to avoid high CPU usage
        except KeyboardInterrupt:
            break  # Allow graceful exit on Ctrl+C