From 9e45aded81558ec764d0855562c652811cc4e467 Mon Sep 17 00:00:00 2001 From: erew123 <35898566+erew123@users.noreply.github.com> Date: Thu, 6 Jun 2024 15:27:22 +0100 Subject: [PATCH] Delete script.py --- script.py | 1082 ----------------------------------------------------- 1 file changed, 1082 deletions(-) delete mode 100644 script.py diff --git a/script.py b/script.py deleted file mode 100644 index 9ba158d..0000000 --- a/script.py +++ /dev/null @@ -1,1082 +0,0 @@ -import html -import json -import random -import subprocess -import time -import os -import requests -import threading -import signal -import sys -import atexit -import shutil -from pathlib import Path -from datetime import datetime, timedelta -import re -import numpy as np -import soundfile as sf -import uuid -import logging -# Store the current disable level -current_disable_level = logging.getLogger().manager.disable - -###################################### -#### ALLTALK ALLOWED STARTUP TIME #### -###################################### -startup_wait_time = 120 - -# You can change the above setting to a larger number to allow AllTAlk more time to start up. The default setting is 120 seconds (2 minutes). -# On some older systems you may need to allow AllTalk more time. So you could set it to 240 (4 minutes) which will give AllTalk more to load. - -################################################################# -#### LOAD PARAMS FROM confignew.json - REQUIRED FOR BRANDING #### -################################################################# -# STARTUP VARIABLE - Create "this_dir" variable as the current script directory -this_dir = Path(__file__).parent.resolve() - -# load config file in and get settings -def load_config(file_path): - with open(file_path, "r") as config_file: - config = json.load(config_file) - return config - -config_file_path = this_dir / "confignew.json" -# Load the params dictionary from the confignew.json file -params = load_config(config_file_path) - -print(f"[{params['branding']}Startup]\033[94m _ _ _ \033[1;35m_____ _ _ \033[0m _____ _____ ____ ") -print(f"[{params['branding']}Startup]\033[94m / \ | | |\033[1;35m_ _|_ _| | | __ \033[0m |_ _|_ _/ ___| ") -print(f"[{params['branding']}Startup]\033[94m / _ \ | | |\033[1;35m | |/ _` | | |/ / \033[0m | | | | \___ \ ") -print(f"[{params['branding']}Startup]\033[94m / ___ \| | |\033[1;35m | | (_| | | < \033[0m | | | | ___) |") -print(f"[{params['branding']}Startup]\033[94m /_/ \_\_|_|\033[1;35m |_|\__,_|_|_|\_\ \033[0m |_| |_| |____/ ") -print(f"[{params['branding']}Startup]") - -############################################## -#### Update any changes to confignew.json #### -############################################## - -update_config_path = this_dir / "system" / "config" / "at_configupdate.json" -downgrade_config_path = this_dir / "system" / "config" / "at_configdowngrade.json" - -def changes_needed(main_config, update_config, downgrade_config): - """Check if there are any changes to be made to the main configuration.""" - for key in downgrade_config.keys(): - if key in main_config: - return True - for key, value in update_config.items(): - if key not in main_config: - return True - return False - -def update_config(config_file_path, update_config_path, downgrade_config_path): - try: - with open(config_file_path, 'r') as file: - main_config = json.load(file) - with open(update_config_path, 'r') as file: - update_config = json.load(file) - with open(downgrade_config_path, 'r') as file: - downgrade_config = json.load(file) - - # Determine if changes are needed - if changes_needed(main_config, update_config, downgrade_config): - # Backup with timestamp to avoid overwriting - timestamp = datetime.now().strftime("%Y%m%d%H%M%S") - backup_path = config_file_path.with_suffix(f".{timestamp}.bak") - logging.info(f"Creating backup of the main config to {backup_path}") - shutil.copy(config_file_path, backup_path) - - # Proceed with updates and downgrades - for key, value in update_config.items(): - if key not in main_config: - main_config[key] = value - for key in downgrade_config.keys(): - if key in main_config: - del main_config[key] - - # Save the updated configuration - with open(config_file_path, 'w') as file: - json.dump(main_config, file, indent=4) - - print(f"[{params['branding']}Startup] \033[92mConfig file check : \033[91mUpdates applied\033[0m") - else: - print(f"[{params['branding']}Startup] \033[92mConfig file check : \033[93mNo Updates required\033[0m") - - except Exception as e: - print(f"[{params['branding']}Startup] \033[92mConfig file check : \033[91mError updating\033[0m") - -# Update the configuration -update_config(config_file_path, update_config_path, downgrade_config_path) -# Re-Load the params dictionary from the confignew.json file -params = load_config(config_file_path) - -######################################### -#### Continue on with Startup Checks #### -######################################### - -# Required for sentence splitting -try: - from TTS.api import TTS - from TTS.utils.synthesizer import Synthesizer -except ModuleNotFoundError: - # Inform the user about the missing module and suggest next steps - print(f"[{params['branding']}]\033[91mWarning\033[0m Could not find the TTS module. Make sure to install the requirements for the {params['branding']} extension.") - print(f"[{params['branding']}]\033[91mWarning\033[0m Please use the ATSetup utility or check the Github installation instructions.") - # Re-raise the ModuleNotFoundError to stop the program and print the traceback - raise - -# Suppress logging -logging.disable(logging.ERROR) -try: - import deepspeed - deepspeed_installed = True -except ImportError: - deepspeed_installed = False -# Restore previous logging level -logging.disable(current_disable_level) - -# Import gradio if being used within text generation webUI -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 - - # This is set to check if the script is being run within text generation webui or as a standalone script. False is running as part of text gen web ui or a gradio interface - running_in_standalone = False - output_folder_wav = params["output_folder_wav"] - print(f"[{params['branding']}Startup] \033[92m{params['branding']}startup Mode : \033[93mText-Gen-webui mode\033[0m") -except ModuleNotFoundError: - output_folder_wav = params["output_folder_wav_standalone"] - print(f"[{params['branding']}Startup] \033[92m{params['branding']}startup Mode : \033[93mStandalone mode\033[0m") - # This is set to check if the script is being run within text generation webui or as a standalone script. true means standalone - running_in_standalone = True - -########################### -#### STARTUP VARIABLES #### -########################### -# STARTUP VARIABLE - Import languges file for Gradio to be able to display them in the interface -with open(this_dir / "system" / "config" / "languages.json", encoding="utf8") as f: - languages = json.load(f) -# Create a global lock -process_lock = threading.Lock() -# Base setting for a possible FineTuned model existing and the loader being available -tts_method_xtts_ft = False - - -# Gather the voice files -def get_available_voices(): - return sorted([voice.name for voice in Path(f"{this_dir}/voices").glob("*.wav")]) - - -############################################ -#### DELETE OLD OUTPUT WAV FILES IF SET #### -############################################ -def delete_old_files(folder_path, days_to_keep): - current_time = datetime.now() - print(f"[{params['branding']}Startup] \033[92mWAV file deletion :\033[93m {formatted_date}\033[0m",delete_output_wavs_setting,) - 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) - - -# Extract settings using params dictionary -delete_output_wavs_setting = params["delete_output_wavs"] -output_folder_wav = os.path.normpath(output_folder_wav) - -# Check and perform file deletion -if delete_output_wavs_setting.lower() == "disabled": - print("["+ params["branding"]+"Startup] \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_wav, days_to_keep) - except ValueError: - print(f"[{params['branding']}Startup] \033[92mWAV file deletion :\033[93m Invalid setting for deleting old wav files. Please use 'Disabled' or 'X Days' format\033[0m") - -if deepspeed_installed: - print(f"[{params['branding']}Startup] \033[92mDeepSpeed version :\033[93m",deepspeed.__version__,"\033[0m") -else: - print(f"[{params['branding']}Startup] \033[92mDeepSpeed version :\033[91m Not Detected\033[0m") - -######################## -#### STARTUP CHECKS #### -######################## -# STARTUP Checks routine -def check_required_files(): - this_dir = Path(__file__).parent.resolve() - download_script_path = this_dir / "modeldownload.py" - subprocess.run(["python", str(download_script_path)]) - -# STARTUP Call Check routine -check_required_files() - -################################################## -#### Check to see if a finetuned model exists #### -################################################## -# Set the path to the directory -trained_model_directory = this_dir / "models" / "trainedmodel" -# Check if the directory "trainedmodel" exists -finetuned_model = trained_model_directory.exists() -# If the directory exists, check for the existence of the required files -# If true, this will add a extra option in the Gradio interface for loading Xttsv2 FT -if finetuned_model: - required_files = ["model.pth", "config.json", "vocab.json"] - finetuned_model = all( - (trained_model_directory / file).exists() for file in required_files - ) -if finetuned_model: - print(f"[{params['branding']}Startup] Finetuned model \033[93mDetected\033[0m") - -#################################################### -#### SET GRADIO BUTTONS BASED ON confignew.json #### -#################################################### - -if params["tts_method_api_tts"] == True: - gr_modelchoice = "API TTS" -elif params["tts_method_api_local"] == True: - gr_modelchoice = "API Local" -elif params["tts_method_xtts_local"] == True: - gr_modelchoice = "XTTSv2 Local" - -# Set the default for Narrated text without asterisk or quotes to be Narrator -non_quoted_text_is = True - -###################### -#### GRADIO STUFF #### -###################### -def remove_tts_from_history(history): - for i, entry in enumerate(history["internal"]): - history["visible"][i] = [history["visible"][i][0], entry[1]] - return history - - -def toggle_text_in_history(history): - for i, entry in enumerate(history["visible"]): - visible_reply = entry[1] - if visible_reply.startswith("')[0]}\n\n{reply}", - ] - else: - history["visible"][i] = [ - history["visible"][i][0], - f"{visible_reply.split('')[0]}", - ] - return history - - -def history_modifier(history): - # Remove autoplay from the last reply - if len(history["internal"]) > 0: - history["visible"][-1] = [ - history["visible"][-1][0], - history["visible"][-1][1].replace("controls autoplay>", "controls>"), - ] - - return history - - -###################################### -#### SUBPROCESS/WEBSERVER STARTUP #### -###################################### -base_url = f"http://{params['ip_address']}:{params['port_number']}" -script_path = this_dir / "tts_server.py" - - -def signal_handler(sig, frame): - print(f"[{params['branding']}Shutdown] \033[94mReceived Ctrl+C, terminating subprocess\033[92m") - if process.poll() is None: - process.terminate() - process.wait() # Wait for the subprocess to finish - sys.exit(0) - - -# 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"): - print( - f"[{params['branding']}Startup] \033[94mRunning in Docker. Please wait.\033[0m" - ) -else: - # Start the subprocess - process = subprocess.Popen(["python", script_path]) - # Check if the subprocess has started successfully - if process.poll() is None: - print(f"[{params['branding']}Startup] \033[92mTTS Subprocess :\033[93m Starting up\033[0m") - print(f"[{params['branding']}Startup]") - print( - f"[{params['branding']}Startup] \033[94m{params['branding']}Settings & Documentation:\033[00m", - f"\033[92mhttp://{params['ip_address']}:{params['port_number']}\033[00m", - ) - print(f"[{params['branding']}Startup]") - else: - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess Webserver failing to start process") - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m It could be that you have something on port:",params["port_number"],) - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m Or you have not started in a Python environement with all the necesssary bits installed") - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m Check you are starting Text-generation-webui with either the start_xxxxx file or the Python environment with cmd_xxxxx file.") - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m xxxxx is the type of OS you are on e.g. windows, linux or mac.") - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m Alternatively, you could check no other Python processes are running that shouldnt be e.g. Restart your computer is the simple way.") - # 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 - - # Introduce a delay before starting the check loop - time.sleep(26) # Wait 26 secs before checking if the tts_server.py has started up. - start_time = time.time() - while time.time() - start_time < timeout: - try: - response = requests.get(f"{base_url}/ready") - if response.status_code == 200: - break - except requests.RequestException as e: - # Print the exception for debugging purposes - print(f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess has NOT started up yet, Will keep trying for {timeout} seconds maximum. Please wait.") - time.sleep(5) - else: - print(f"\n[{params['branding']}Startup] Startup timed out. Full help available here \033[92mhttps://github.com/erew123/alltalk_tts#-help-with-problems\033[0m") - print(f"[{params['branding']}Startup] On older system you may wish to open and edit \033[94mscript.py\033[0m with a text editor and changing the") - print(f"[{params['branding']}Startup] \033[94mstartup_wait_time = 120\033[0m setting to something like \033[94mstartup_wait_time = 240\033[0m as this will allow") - print(f"[{params['branding']}Startup] AllTalk more time to try load the model into your VRAM. Otherise please visit the Github for") - print(f"[{params['branding']}Startup] 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) - - -##################################### -#### MODEL LOADING AND UNLOADING #### -##################################### -# MODEL - Swap model based on Gradio selection API TTS, API Local, XTTSv2 Local -def send_reload_request(tts_method): - global tts_method_xtts_ft - try: - params["tts_model_loaded"] = False - url = f"{base_url}/api/reload" - payload = {"tts_method": tts_method} - response = requests.post(url, params=payload) - response.raise_for_status() # Raises an HTTPError for bad responses - json_response = response.json() - # Check if the reload operation was successful - if json_response.get("status") == "model-success": - # Update tts_tts_model_loaded to True if the reload was successful - params["tts_model_loaded"] = True - # Update local script parameters based on the tts_method - if tts_method == "API TTS": - params["tts_method_api_local"] = False - params["tts_method_xtts_local"] = False - params["tts_method_api_tts"] = True - params["deepspeed_activate"] = False - audio_path = this_dir / "system" / "at_sounds" / "apitts.wav" - tts_method_xtts_ft = False - elif tts_method == "API Local": - params["tts_method_api_tts"] = False - params["tts_method_xtts_local"] = False - params["tts_method_api_local"] = True - params["deepspeed_activate"] = False - audio_path = this_dir / "system" / "at_sounds" / "apilocal.wav" - tts_method_xtts_ft = False - elif tts_method == "XTTSv2 Local": - params["tts_method_api_tts"] = False - params["tts_method_api_local"] = False - params["tts_method_xtts_local"] = True - audio_path = this_dir / "system" / "at_sounds" / "xttslocal.wav" - tts_method_xtts_ft = False - elif tts_method == "XTTSv2 FT": - params["tts_method_api_tts"] = False - params["tts_method_api_local"] = False - params["tts_method_xtts_local"] = False - audio_path = this_dir / "system" / "at_sounds" / "xttsfinetuned.wav" - tts_method_xtts_ft = True - return f'' - except requests.exceptions.RequestException as e: - # Handle the HTTP request error - print(f"[{params['branding']}Server] \033[91mWarning\033[0m Error during request to webserver process: {e}") - return {"status": "error", "message": str(e)} - - -################## -#### LOW VRAM #### -################## -# LOW VRAM - Gradio Checkbox handling -def send_lowvram_request(low_vram): - try: - params["tts_model_loaded"] = False - if low_vram: - audio_path = this_dir / "system" / "at_sounds" / "lowvramenabled.wav" - else: - audio_path = this_dir / "system" / "at_sounds" / "lowvramdisabled.wav" - url = f"{base_url}/api/lowvramsetting?new_low_vram_value={low_vram}" - headers = {"Content-Type": "application/json"} - response = requests.post(url, headers=headers) - response.raise_for_status() # Raises an HTTPError for bad responses - json_response = response.json() - # Check if the low VRAM request was successful - if json_response.get("status") == "lowvram-success": - # Update any relevant variables or perform other actions on success - params["tts_model_loaded"] = True - return f'' - except requests.exceptions.RequestException as e: - # Handle the HTTP request error - print(f"[{params['branding']}Server] \033[91mWarning\033[0m Error during request to webserver process: {e}") - return {"status": "error", "message": str(e)} - - -################### -#### DeepSpeed #### -################### -# DEEPSPEED - Reload the model when DeepSpeed checkbox is enabled/disabled -def send_deepspeed_request(deepspeed_param): - try: - params["tts_model_loaded"] = False - if deepspeed_param: - audio_path = this_dir / "system" / "at_sounds" / "deepspeedenabled.wav" - else: - audio_path = this_dir / "system" / "at_sounds" / "deepspeeddisabled.wav" - url = f"{base_url}/api/deepspeed?new_deepspeed_value={deepspeed_param}" - headers = {"Content-Type": "application/json"} - response = requests.post(url, headers=headers) - response.raise_for_status() # Raises an HTTPError for bad responses - json_response = response.json() - # Check if the deepspeed request was successful - if json_response.get("status") == "deepspeed-success": - # Update any relevant variables or perform other actions on success - params["tts_model_loaded"] = True - return f'' - except requests.exceptions.RequestException as e: - # Handle the HTTP request error - print(f"[{params['branding']}Server] \033[91mWarning\033[0m Error during request to webserver process: {e}") - return {"status": "error", "message": str(e)} - - -# DEEPSPEED - Display DeepSpeed Checkbox Yes or No -deepspeed_condition = params["tts_method_xtts_local"] == "True" and deepspeed_installed - - -############################################################# -#### TTS STRING CLEANING & PROCESSING PRE SENDING TO TTS #### -############################################################# -def new_split_into_sentences(self, text): - sentences = self.seg.segment(text) - if params["remove_trailing_dots"]: - sentences_without_dots = [] - for sentence in sentences: - if sentence.endswith(".") and not sentence.endswith("..."): - sentence = sentence[:-1] - - sentences_without_dots.append(sentence) - - return sentences_without_dots - else: - return sentences - - -Synthesizer.split_into_sentences = new_split_into_sentences - - -# Check model is loaded and string isnt empty, before sending a TTS request. -def before_audio_generation(string, params): - # Check Model is loaded into cuda or cpu and error if not - if not params["tts_model_loaded"]: - print(f"[{params['branding']}Model] \033[91mWarning\033[0m Model is still loading, please wait before trying to generate TTS") - return - string = html.unescape(string) or random_sentence() - if string == "": - return "*Empty string*" - return string - - -################## -#### Narrator #### -################## -def combine(audio_files, output_folder, state): - audio = np.array([]) - - for audio_file in audio_files: - audio_data, sample_rate = sf.read(audio_file) - # Ensure all audio files have the same sample rate - if audio.size == 0: - audio = audio_data - else: - audio = np.concatenate((audio, audio_data)) - - # Save the combined audio to a file with a specified sample rate - if "character_menu" in state: - output_file_path = os.path.join(output_folder, f'{state["character_menu"]}_{int(time.time())}_combined.wav') - else: - output_file_path = os.path.join(output_folder, f"TTSOUT_{int(time.time())}_combined.wav") - sf.write(output_file_path, audio, samplerate=sample_rate) - # Clean up unnecessary files - for audio_file in audio_files: - os.remove(audio_file) - - return output_file_path - - -################################ -#### TTS PREVIEW GENERATION #### -################################ -# PREVIEW VOICE - Generate Random Sentence if Voice Preview box is empty -def random_sentence(): - with open(this_dir / "system" / "config" / "harvard_sentences.txt") as f: - return random.choice(list(f)) - - -# PREVIEW VOICE- Generate TTS Function -def voice_preview(string): - if not params["activate"]: - return string - # Clean the string, capture model not loaded, and move model to cuda if needed - cleaned_string = before_audio_generation(string, params) - if cleaned_string is None: - return - string = cleaned_string - # Setup the output file - output_file = Path(params["output_folder_wav"]) / "voice_preview.wav" - # Generate the audio - language_code = languages.get(params["language"]) - temperature = params["local_temperature"] - repetition_penalty = params["local_repetition_penalty"] - # Convert the WindowsPath object to a string before using it in JSON payload - output_file_str = output_file.as_posix() - # Lock before making the generate request - with process_lock: - generate_response = send_generate_request( - string, - params["voice"], - language_code, - temperature, - repetition_penalty, - output_file_str, - ) - # Check if lock is already acquired - if process_lock.locked(): - print(f"[{params['branding']}Model] \033[91mWarning\033[0m Audio generation is already in progress. Please wait.") - return - if generate_response.get("status") == "generate-success": - # Handle Gradio and playback - autoplay = "autoplay" if params["autoplay"] else "" - return f'' - else: - # Handle the case where audio generation was not successful - return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}" - - -####################### -#### TEXT CLEANING #### -####################### - -def process_text(text): - # Normalize HTML encoded quotes - text = html.unescape(text) - - # Replace ellipsis with a single dot - text = re.sub(r"\.{3,}", ".", text) - - # Pattern to identify combined narrator and character speech - combined_pattern = r'(\*[^*"]+\*|"[^"*]+")' - - # List to hold parts of speech along with their type - ordered_parts = [] - - # Track the start of the next segment - start = 0 - - # Find all matches - for match in re.finditer(combined_pattern, text): - # Add the text before the match, if any, as ambiguous - if start < match.start(): - ambiguous_text = text[start : match.start()].strip() - if ambiguous_text: - ordered_parts.append(("ambiguous", ambiguous_text)) - - # Add the matched part as either narrator or character - matched_text = match.group(0) - if matched_text.startswith("*") and matched_text.endswith("*"): - ordered_parts.append(("narrator", matched_text.strip("*").strip())) - elif matched_text.startswith('"') and matched_text.endswith('"'): - ordered_parts.append(("character", matched_text.strip('"').strip())) - else: - # In case of mixed or improperly formatted parts - if "*" in matched_text: - ordered_parts.append(("narrator", matched_text.strip("*").strip('"'))) - else: - ordered_parts.append(("character", matched_text.strip('"').strip("*"))) - - # Update the start of the next segment - start = match.end() - - # Add any remaining text after the last match as ambiguous - if start < len(text): - ambiguous_text = text[start:].strip() - if ambiguous_text: - ordered_parts.append(("ambiguous", ambiguous_text)) - - return ordered_parts - - -######################## -#### IMAGE CLEANING #### -######################## - -img_pattern = r']*src\s*=\s*["\'][^"\'>]+["\'][^>]*>' - -def extract_and_remove_images(text): - """ - Extracts all image data from the text and removes it for clean TTS processing. - Returns the cleaned text and the extracted image data. - """ - img_matches = re.findall(img_pattern, text) - img_info = "\n".join(img_matches) # Store extracted image data - cleaned_text = re.sub(img_pattern, '', text) # Remove images from text - return cleaned_text, img_info - -def reinsert_images(text, img_info): - """ - Reinserts the previously extracted image data back into the text. - """ - if img_info: # Check if there are images to reinsert - text += f"\n\n{img_info}" - return text - -################################# -#### TTS STANDARD GENERATION #### -################################# -# STANDARD VOICE - Generate TTS Function -def output_modifier(string, state): - if not params["activate"]: - return string - img_info = "" - cleaned_text, img_info = extract_and_remove_images(string) - # print("Cleaned STRING IS:", cleaned_text) - cleaned_string = before_audio_generation(cleaned_text, params) - if cleaned_string is None: - return - language_code = languages.get(params["language"]) - temperature = params["local_temperature"] - repetition_penalty = params["local_repetition_penalty"] - # Create a list to store generated audio paths - audio_files = [] - if process_lock.acquire(blocking=False): - try: - if params["narrator_enabled"]: - processed_parts = process_text(cleaned_string) - - audio_files_all_paragraphs = [] - for part_type, part in processed_parts: - # Skip parts that are too short - if len(part.strip()) <= 3: - continue - - # Determine the voice to use based on the part type - if part_type == "narrator": - voice_to_use = params["narrator_voice"] - print(f"[{params['branding']}TTSGen] \033[92mNarrator\033[0m") # Green - elif part_type == "character": - voice_to_use = params["voice"] - print(f"[{params['branding']}TTSGen] \033[36mCharacter\033[0m") # Yellow - else: - # Handle ambiguous parts based on user preference - voice_to_use = ( - params["voice"] - if non_quoted_text_is - else params["narrator_voice"] - ) - voice_description = ( - "\033[36mCharacter (Text-not-inside)\033[0m" - if non_quoted_text_is - else "\033[92mNarrator (Text-not-inside)\033[0m" - ) - print(f"[{params['branding']}TTSGen] {voice_description}") - - # Replace multiple exclamation marks, question marks, or other punctuation with a single instance - cleaned_part = re.sub(r"([!?.])\1+", r"\1", part) - # Further clean to remove any other unwanted characters - cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0100-\u017F\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\u4E00-\u9FFF\u3400-\u4DBF\u20000-\u2A6DF\u3000-\u303F\$]', '', cleaned_part) - # Remove all newline characters (single or multiple) - cleaned_part = re.sub(r"\n+", " ", cleaned_part) - - # Generate TTS and output to a file - output_filename = get_output_filename(state) - generate_response = send_generate_request( - cleaned_part, - voice_to_use, - language_code, - temperature, - repetition_penalty, - output_filename, - ) - audio_path = generate_response.get("data", {}).get("audio_path") - audio_files_all_paragraphs.append(audio_path) - - # Combine audio files across paragraphs - final_output_file = combine( - audio_files_all_paragraphs, params["output_folder_wav"], state - ) - else: - # Decode HTML entities first - cleaned_part = html.unescape(cleaned_string) - # Replace multiple instances of certain punctuation marks with a single instance - cleaned_part = re.sub(r"([!?.])\1+", r"\1", cleaned_part) - # Further clean to remove any other unwanted characters - cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0100-\u017F\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\u4E00-\u9FFF\u3400-\u4DBF\u20000-\u2A6DF\u3000-\u303F\$]', '', cleaned_part) - # Remove all newline characters (single or multiple) - cleaned_part = re.sub(r"\n+", " ", cleaned_part) - # Process the part and give it a non-character name if being used vai API or standalone. - if "character_menu" in state: - output_file = Path( - f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav' - ) - else: - output_file = Path( - f'{params["output_folder_wav"]}/TTSOUT_{int(time.time())}.wav' - ) - output_file_str = output_file.as_posix() - output_file = get_output_filename(state) - generate_response = send_generate_request( - cleaned_part, - params["voice"], - language_code, - temperature, - repetition_penalty, - output_file_str, - ) - audio_path = generate_response.get("data", {}).get("audio_path") - final_output_file = audio_path - finally: - # Always release the lock, whether an exception occurs or not - process_lock.release() - else: - # The lock is already acquired - print( - f"[{params['branding']}Model] \033[91mWarning\033[0m Audio generation is already in progress. Please wait." - ) - return - - if generate_response.get("status") == "generate-success": - audio_path = generate_response.get("data", {}).get("audio_path") - if audio_path: - # Handle Gradio and playback - autoplay = "autoplay" if params["autoplay"] else "" - string = (f'') - if params["show_text"]: - string += reinsert_images(cleaned_string, img_info) - shared.processing_message = "*Is typing...*" - return string - else: - print(f"[{params['branding']}Server] \033[91mWarning\033[0m No audio path in the response.") - else: - print(f"[{params['branding']}Server] \033[91mWarning\033[0m Audio generation failed. Status:", generate_response.get("message"),) - -def get_output_filename(state): - if "character_menu" in state: - return Path( - f'{params["output_folder_wav"]}/{state["character_menu"]}_{str(uuid.uuid4())[:8]}.wav' - ).as_posix() - else: - return Path( - f'{params["output_folder_wav"]}/TTSOUT_{str(uuid.uuid4())[:8]}.wav' - ).as_posix() - - -############################################### -#### SEND GENERATION REQUEST TO TTS ENGINE #### -############################################### -def send_generate_request( - text, voice, language, temperature, repetition_penalty, output_file -): - url = f"{base_url}/api/generate" - payload = { - "text": text, - "voice": voice, - "language": language, - "temperature": temperature, - "repetition_penalty": repetition_penalty, - "output_file": output_file, - } - headers = {"Content-Type": "application/json"} - response = requests.post(url, json=payload, headers=headers) - return response.json() - - -################################ -#### SUBPORCESS TERMINATION #### -################################ -# Register the termination code to be executed at exit -atexit.register(lambda: process.terminate() if process.poll() is None else None) - - -###################### -#### GRADIO STUFF #### -###################### -def state_modifier(state): - if not params["activate"]: - return state - - state["stream"] = False - return state - - -def update_narrator_enabled(value): - if value == "Enabled": - params["narrator_enabled"] = True - elif value == "Disabled": - params["narrator_enabled"] = False - - -def update_non_quoted_text_is(value): - global non_quoted_text_is - if value == "Narrator": - non_quoted_text_is = False - elif value == "Char": - non_quoted_text_is = True - - -def input_modifier(string, state): - if not params["activate"]: - return string - - shared.processing_message = "*Is recording a voice message...*" - return string - - -def ui(): - with gr.Accordion(params["branding"] + " TTS (XTTSv2)"): - # Activate alltalk_tts, Enable autoplay, Show text - with gr.Row(): - activate = gr.Checkbox(value=params["activate"], label="Enable TTS") - autoplay = gr.Checkbox(value=params["autoplay"], label="Autoplay TTS") - show_text = gr.Checkbox(value=params["show_text"], label="Show Text") - - # Low vram enable, Deepspeed enable, Remove trailing dots - with gr.Row(): - low_vram = gr.Checkbox( - value=params["low_vram"], label="Enable Low VRAM Mode" - ) - low_vram_play = gr.HTML(visible=False) - deepspeed_checkbox = gr.Checkbox( - value=params["deepspeed_activate"], - label="Enable DeepSpeed", - visible=deepspeed_installed, - ) - deepspeed_checkbox_play = gr.HTML(visible=False) - remove_trailing_dots = gr.Checkbox( - value=params["remove_trailing_dots"], label='Remove trailing "."' - ) - - # TTS method, Character voice selection - with gr.Row(): - model_loader_choices = ["API TTS", "API Local", "XTTSv2 Local"] - if finetuned_model: - model_loader_choices.append("XTTSv2 FT") - tts_radio_buttons = gr.Radio( - choices=model_loader_choices, - label="TTS Method (Each method sounds slightly different)", - value=gr_modelchoice, # Set the default value - ) - tts_radio_buttons_play = gr.HTML(visible=False) - with gr.Row(): - available_voices = get_available_voices() - default_voice = params[ - "voice" - ] # Check if the default voice is in the list of available voices - - if default_voice not in available_voices: - default_voice = available_voices[ - 0 - ] # Choose the first available voice as the default - # Add allow_custom_value=True to the Dropdown - voice = gr.Dropdown( - available_voices, - label="Character Voice", - value=default_voice, - allow_custom_value=True, - ) - create_refresh_button( - voice, - lambda: None, - lambda: { - "choices": get_available_voices(), - "value": params["voice"], - }, - "refresh-button", - ) - - # Language, Narrator voice - with gr.Row(): - language = gr.Dropdown( - languages.keys(), label="Language", value=params["language"] - ) - with gr.Row(): - narrator_voice_gr = gr.Dropdown( - get_available_voices(), - label="Narrator Voice", - allow_custom_value=True, - value=params["narrator_voice"], - ) - create_refresh_button( - narrator_voice_gr, - lambda: None, - lambda: { - "choices": get_available_voices(), - "value": params["narrator_voice"], - }, - "refresh-button", - ) - - # Temperature, Repetition Penalty - with gr.Row(): - local_temperature_gr = gr.Slider( - minimum=0.05, - maximum=1, - step=0.05, - label="Temperature", - value=params["local_temperature"], - ) - local_repetition_penalty_gr = gr.Slider( - minimum=0.5, - maximum=20, - step=0.5, - label="Repetition Penalty", - value=params["local_repetition_penalty"], - ) - - # Narrator enable, Non quoted text, Explanation text - with gr.Row(): - with gr.Row(): - narrator_enabled_gr = gr.Radio( - choices={"Enabled": "true", "Disabled": "false"}, - label="Narrator", - value="Enabled" if params.get("narrator_enabled") else "Disabled", - ) - non_quoted_text_is_gr = gr.Radio( - choices={"Character": "true", "Narrator": "false"}, - label='Unmarked text NOT inside of * or " is', - value="Character" if non_quoted_text_is else "Narrator", - ) - explanation_text = gr.HTML( - f"

⚙️ Settings and Documentation Page⚙️
- Low VRAM Mode and Deepspeed take 15 seconds to be enabled or disabled.
- The DeepSpeed checkbox is only visible if DeepSpeed is present.

" - ) - - # Preview speech - with gr.Row(): - preview_text = gr.Text( - show_label=False, - placeholder="Preview text", - elem_id="silero_preview_text", - ) - preview_play = gr.Button("Preview") - preview_audio = gr.HTML(visible=False) - - with gr.Row(): - convert = gr.Button("Permanently replace audios with the message texts") - convert_cancel = gr.Button("Cancel", visible=False) - convert_confirm = gr.Button( - "Confirm (cannot be undone)", variant="stop", visible=False - ) - - # Convert history with confirmation - convert_arr = [convert_confirm, convert, convert_cancel] - convert.click( - lambda: [ - gr.update(visible=True), - gr.update(visible=False), - gr.update(visible=True), - ], - None, - convert_arr, - ) - convert_confirm.click( - lambda: [ - gr.update(visible=False), - gr.update(visible=True), - gr.update(visible=False), - ], - None, - convert_arr, - ).then(remove_tts_from_history, gradio("history"), gradio("history")).then( - chat.save_history, - gradio("history", "unique_id", "character_menu", "mode"), - None, - ).then( - chat.redraw_html, gradio(ui_chat.reload_arr), gradio("display") - ) - - convert_cancel.click( - lambda: [ - gr.update(visible=False), - gr.update(visible=True), - gr.update(visible=False), - ], - None, - convert_arr, - ) - - # Toggle message text in history - show_text.change(lambda x: params.update({"show_text": x}), show_text, None).then( - toggle_text_in_history, gradio("history"), gradio("history") - ).then( - chat.save_history, - gradio("history", "unique_id", "character_menu", "mode"), - None, - ).then( - chat.redraw_html, gradio(ui_chat.reload_arr), gradio("display") - ) - - # Event functions to update the parameters in the backend - activate.change(lambda x: params.update({"activate": x}), activate, None) - autoplay.change(lambda x: params.update({"autoplay": x}), autoplay, None) - low_vram.change(lambda x: params.update({"low_vram": x}), low_vram, None) - low_vram.change(lambda x: send_lowvram_request(x), low_vram, low_vram_play, None) - tts_radio_buttons.change( - send_reload_request, tts_radio_buttons, tts_radio_buttons_play, None - ) - deepspeed_checkbox.change( - send_deepspeed_request, deepspeed_checkbox, deepspeed_checkbox_play, None - ) - remove_trailing_dots.change( - lambda x: params.update({"remove_trailing_dots": x}), remove_trailing_dots, None - ) - voice.change(lambda x: params.update({"voice": x}), voice, None) - language.change(lambda x: params.update({"language": x}), language, None) - - # TSS Settings - local_temperature_gr.change( - lambda x: params.update({"local_temperature": x}), local_temperature_gr, None - ) - local_repetition_penalty_gr.change( - lambda x: params.update({"local_repetition_penalty": x}), - local_repetition_penalty_gr, - None, - ) - - # Narrator selection actions - narrator_enabled_gr.change(update_narrator_enabled, narrator_enabled_gr, None) - non_quoted_text_is_gr.change(update_non_quoted_text_is, non_quoted_text_is_gr, None) - narrator_voice_gr.change( - lambda x: params.update({"narrator_voice": x}), narrator_voice_gr, None - ) - - # Play preview - preview_text.submit(voice_preview, preview_text, preview_audio) - preview_play.click(voice_preview, preview_text, preview_audio) - - -########################################## -#### STANDALONE MODE LOOP TERMINATION #### -########################################## -## Loop to keep the script from exiting out if its being run as a standalone script and not part of text-generation-webui -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