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import os |
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from modules.devices import devices |
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from modules.utils import env |
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from modules.webui import webui_config |
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from modules.webui.app import webui_init, create_interface |
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from modules import generate_audio |
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from modules import config |
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if __name__ == "__main__": |
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import argparse |
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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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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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"--half", |
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action="store_true", |
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help="Enable half precision for model inference", |
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) |
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parser.add_argument( |
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"--off_tqdm", |
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action="store_true", |
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help="Disable tqdm progress bar", |
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) |
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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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"--lru_size", |
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type=int, |
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default=64, |
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help="Set the size of the request cache pool, set it to 0 will disable lru_cache", |
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) |
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parser.add_argument( |
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"--device_id", |
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type=str, |
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help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", |
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default=None, |
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) |
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parser.add_argument( |
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"--use_cpu", |
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nargs="+", |
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help="use CPU as torch device for specified modules", |
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default=[], |
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type=str.lower, |
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) |
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parser.add_argument("--compile", action="store_true", help="Enable model compile") |
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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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args = parser.parse_args() |
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def get_and_update_env(*args): |
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val = env.get_env_or_arg(*args) |
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key = args[1] |
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config.runtime_env_vars[key] = val |
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return val |
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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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half = get_and_update_env(args, "half", False, bool) |
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off_tqdm = get_and_update_env(args, "off_tqdm", False, bool) |
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lru_size = get_and_update_env(args, "lru_size", 64, int) |
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device_id = get_and_update_env(args, "device_id", None, str) |
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use_cpu = get_and_update_env(args, "use_cpu", [], list) |
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compile = get_and_update_env(args, "compile", False, bool) |
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webui_experimental = get_and_update_env(args, "webui_experimental", False, bool) |
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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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demo = create_interface() |
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if auth: |
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auth = tuple(auth.split(":")) |
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generate_audio.setup_lru_cache() |
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devices.reset_device() |
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devices.first_time_calculation() |
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webui_init() |
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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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) |
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