Cleaner Start-up & mini diags
Updated various bits of code to clean up the AllTalk start-up messages.
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@@ -1,145 +0,0 @@
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import os
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from pathlib import Path
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import requests
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from tqdm import tqdm
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import importlib.metadata as metadata
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import json
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from packaging import version
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#################################################################
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#### LOAD PARAMS FROM confignew.json - REQUIRED FOR BRANDING ####
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#################################################################
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# STARTUP VARIABLE - Create "this_dir" variable as the current script directory
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this_dir = Path(__file__).parent.resolve()
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# load standard config file in and get settings
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def load_config(file_path):
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with open(file_path, "r") as config_file:
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config = json.load(config_file)
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return config
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config_file_path = this_dir / "confignew.json"
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params = load_config(config_file_path)
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# Define the path to the modeldownload config file file
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modeldownload_config_file_path = this_dir / "modeldownload.json"
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# Check if the JSON file exists
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if modeldownload_config_file_path.exists():
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with open(modeldownload_config_file_path, "r") as config_file:
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settings = json.load(config_file)
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# Extract settings from the loaded JSON
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base_path = Path(settings.get("base_path", ""))
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model_path = Path(settings.get("model_path", ""))
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files_to_download = settings.get("files_to_download", {})
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else:
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# Default settings if the JSON file doesn't exist or is empty
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print(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m modeldownload.json is missing so please re-download it and save it in the coquii_tts main folder."
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)
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print(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m API Local and XTTSv2 Local will error unless this is corrected."
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)
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# Read the version specifier from requirements_nvidia.txt
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with open(this_dir / "system" / "requirements" / "requirements_standalone.txt", "r") as req_file:
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requirements = req_file.readlines()
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tts_version_required = None
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for req in requirements:
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if req.startswith("TTS=="):
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tts_version_required = req.strip().split("==")[1]
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break
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if tts_version_required is None:
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raise ValueError(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m Could not find TTS version specifier in requirements file"
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)
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def create_directory_if_not_exists(directory):
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if not directory.exists():
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directory.mkdir(parents=True)
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def download_file(url, destination):
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response = requests.get(url, stream=True)
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total_size_in_bytes = int(response.headers.get("content-length", 0))
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block_size = 1024 # 1 Kibibyte
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progress_bar = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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with open(destination, "wb") as file:
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for data in response.iter_content(block_size):
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progress_bar.update(len(data))
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file.write(data)
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progress_bar.close()
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def check_tts_version():
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try:
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tts_version = metadata.version("tts")
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print(
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f"[{params['branding']}Startup] TTS version installed: \033[93m"
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+ tts_version
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+ "\033[0m"
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)
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if version.parse(tts_version) < version.parse(tts_version_required):
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print(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS version is too old. Please upgrade to version \033[93m"
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+ tts_version_required
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+ "\033[0m or later.\033[0m"
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)
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print(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m At your terminal/command prompt \033[94mpip install --upgrade tts\033[0m"
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)
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else:
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print(f"[{params['branding']}Startup] TTS version is up to date.")
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except metadata.PackageNotFoundError:
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print(
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f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS is not installed."
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)
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# Check and create directories
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if str(base_path) == "models":
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create_directory_if_not_exists(this_dir / base_path / model_path)
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else:
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create_directory_if_not_exists(base_path / model_path)
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print(
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f"[{params['branding']}Startup] \033[94mInfo\033[0m Custom path set in \033[93mmodeldownload.json\033[0m. Using the following settings:"
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)
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print(
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f"[{params['branding']}Startup] \033[94mInfo\033[0m Base folder Path:\033[93m",
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base_path,
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"\033[0m",
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)
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print(
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f"[{params['branding']}Startup] \033[94mInfo\033[0m Model folder Path:\033[93m",
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model_path,
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"\033[0m",
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)
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print(
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f"[{params['branding']}Startup] \033[94mInfo\033[0m Full Path:\033[93m",
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base_path / model_path,
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"\033[0m",
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)
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# Download files if they don't exist
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print("[" + params["branding"] + "Startup] Checking Model is Downloaded.")
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for filename, url in files_to_download.items():
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if str(base_path) == "models":
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destination = this_dir / base_path / model_path / filename
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else:
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destination = Path(base_path) / model_path / filename
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if not destination.exists():
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print(f"[{params['branding']}Startup] Downloading " + filename + "...")
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download_file(url, destination)
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check_tts_version()
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