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import logging |
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import os |
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import sys |
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from modules.ffmpeg_env import setup_ffmpeg_path |
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try: |
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setup_ffmpeg_path() |
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logging.basicConfig( |
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level=os.getenv("LOG_LEVEL", "INFO"), |
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", |
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) |
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except BaseException: |
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pass |
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import argparse |
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from modules import config |
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from modules.api.api_setup import process_api_args, setup_api_args |
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from modules.api.app_config import app_description, app_title, app_version |
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from modules.gradio_dcls_fix import dcls_patch |
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from modules.models_setup import process_model_args, setup_model_args |
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from modules.utils.env import get_and_update_env |
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from modules.utils.ignore_warn import ignore_useless_warnings |
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from modules.utils.torch_opt import configure_torch_optimizations |
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from modules.webui import webui_config |
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from modules.webui.app import create_interface, webui_init |
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dcls_patch() |
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ignore_useless_warnings() |
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def setup_webui_args(parser: argparse.ArgumentParser): |
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parser.add_argument("--server_name", type=str, help="server name") |
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parser.add_argument("--server_port", type=int, help="server port") |
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parser.add_argument( |
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"--share", action="store_true", help="share the gradio interface" |
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) |
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parser.add_argument("--debug", action="store_true", help="enable debug mode") |
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parser.add_argument("--auth", type=str, help="username:password for authentication") |
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parser.add_argument( |
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"--tts_max_len", |
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type=int, |
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help="Max length of text for TTS", |
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) |
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parser.add_argument( |
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"--ssml_max_len", |
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type=int, |
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help="Max length of text for SSML", |
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) |
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parser.add_argument( |
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"--max_batch_size", |
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type=int, |
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help="Max batch size for TTS", |
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) |
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parser.add_argument( |
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"--webui_experimental", |
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action="store_true", |
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help="Enable webui_experimental features", |
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) |
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parser.add_argument( |
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"--language", |
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type=str, |
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help="Set the default language for the webui", |
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) |
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parser.add_argument( |
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"--api", |
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action="store_true", |
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help="use api=True to launch the API together with the webui (run launch.py for only API server)", |
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) |
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def process_webui_args(args): |
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server_name = get_and_update_env(args, "server_name", "0.0.0.0", str) |
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server_port = get_and_update_env(args, "server_port", 7860, int) |
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share = get_and_update_env(args, "share", False, bool) |
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debug = get_and_update_env(args, "debug", False, bool) |
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auth = get_and_update_env(args, "auth", None, str) |
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language = get_and_update_env(args, "language", "zh-CN", str) |
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api = get_and_update_env(args, "api", False, bool) |
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webui_config.experimental = get_and_update_env( |
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args, "webui_experimental", False, bool |
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) |
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webui_config.tts_max = get_and_update_env(args, "tts_max_len", 1000, int) |
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webui_config.ssml_max = get_and_update_env(args, "ssml_max_len", 5000, int) |
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webui_config.max_batch_size = get_and_update_env(args, "max_batch_size", 8, int) |
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webui_config.experimental = get_and_update_env( |
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args, "webui_experimental", False, bool |
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) |
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webui_config.tts_max = get_and_update_env(args, "tts_max_len", 1000, int) |
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webui_config.ssml_max = get_and_update_env(args, "ssml_max_len", 5000, int) |
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webui_config.max_batch_size = get_and_update_env(args, "max_batch_size", 8, int) |
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configure_torch_optimizations() |
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webui_init() |
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demo = create_interface() |
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if auth: |
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auth = tuple(auth.split(":")) |
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app, local_url, share_url = demo.queue().launch( |
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server_name=server_name, |
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server_port=server_port, |
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share=share, |
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debug=debug, |
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auth=auth, |
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show_api=False, |
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prevent_thread_lock=True, |
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inbrowser=sys.platform == "win32", |
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app_kwargs={ |
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"title": app_title, |
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"description": app_description, |
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"version": app_version, |
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"redoc_url": ( |
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None |
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if api is False |
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else None if config.runtime_env_vars.no_docs else "/redoc" |
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), |
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"docs_url": ( |
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None |
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if api is False |
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else None if config.runtime_env_vars.no_docs else "/docs" |
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), |
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}, |
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) |
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app.user_middleware = [ |
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x for x in app.user_middleware if x.cls.__name__ != "CustomCORSMiddleware" |
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] |
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if api: |
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process_api_args(args, app) |
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demo.block_thread() |
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if __name__ == "__main__": |
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import dotenv |
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dotenv.load_dotenv( |
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dotenv_path=os.getenv("ENV_FILE", ".env.webui"), |
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) |
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parser = argparse.ArgumentParser(description="Gradio App") |
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setup_webui_args(parser) |
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setup_model_args(parser) |
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setup_api_args(parser) |
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args = parser.parse_args() |
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process_model_args(args) |
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process_webui_args(args) |
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