forked from mrq/tortoise-tts
34 lines
1.2 KiB
Python
Executable File
34 lines
1.2 KiB
Python
Executable File
import webui as mrq
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if 'TORTOISE_MODELS_DIR' not in os.environ:
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os.environ['TORTOISE_MODELS_DIR'] = os.path.realpath(os.path.join(os.getcwd(), './models/tortoise/'))
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if 'TRANSFORMERS_CACHE' not in os.environ:
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os.environ['TRANSFORMERS_CACHE'] = os.path.realpath(os.path.join(os.getcwd(), './models/transformers/'))
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if __name__ == "__main__":
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mrq.args = mrq.setup_args()
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if mrq.args.listen_path is not None and mrq.args.listen_path != "/":
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import uvicorn
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uvicorn.run("main:app", host=mrq.args.listen_host, port=mrq.args.listen_port if not None else 8000)
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else:
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mrq.webui = mrq.setup_gradio()
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mrq.webui.launch(share=mrq.args.share, prevent_thread_lock=True, server_name=mrq.args.listen_host, server_port=mrq.args.listen_port)
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mrq.tts = mrq.setup_tortoise()
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mrq.webui.block_thread()
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elif __name__ == "main":
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from fastapi import FastAPI
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import gradio as gr
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import sys
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sys.argv = [sys.argv[0]]
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app = FastAPI()
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mrq.args = mrq.setup_args()
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mrq.webui = mrq.setup_gradio()
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app = gr.mount_gradio_app(app, mrq.webui, path=mrq.args.listen_path)
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mrq.tts = mrq.setup_tortoise()
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