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import sys |
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import os |
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from fastapi import Request |
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os.environ["COQUI_TOS_AGREED"] = "1" |
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import gradio as gr |
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from TTS.api import TTS |
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from TTS.utils.manage import ModelManager |
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model_names = TTS().list_models() |
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print(model_names.__dict__) |
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print(model_names.__dir__()) |
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model_name = "tts_models/multilingual/multi-dataset/xtts_v2" |
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m = model_name |
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tts = TTS(model_name, gpu=False) |
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tts.to("cpu") |
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def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree, request: gr.Request): |
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return (None, None) |
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title = "XTTS Glz's remake (Fonctional Text-2-Speech)" |
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description = "" |
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article = "" |
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examples = [ |
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] |
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gr.Interface( |
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fn=predict, |
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inputs=[ |
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gr.Textbox( |
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label="Text Prompt", |
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info="One or two sentences at a time is better", |
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value="Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality", |
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), |
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gr.Dropdown( |
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label="Language", |
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info="Select an output language for the synthesised speech", |
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choices=[ |
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"en", |
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"es", |
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"fr", |
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"de", |
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"it", |
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"pt", |
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"pl", |
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"tr", |
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"ru", |
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"nl", |
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"cs", |
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"ar", |
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"zh-cn", |
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], |
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max_choices=1, |
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value="en", |
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), |
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gr.Audio( |
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label="Reference Audio", |
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type="filepath", |
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value="examples/female.wav", |
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), |
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gr.Audio(sources=["microphone"], |
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type="filepath", |
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label="Use Microphone for Reference"), |
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gr.Checkbox(label="Check to use Microphone as Reference", |
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value=False, |
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info="Notice: Microphone input may not work properly under traffic",), |
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gr.Checkbox( |
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label="Agree", |
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value=True, |
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info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml", |
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), |
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], |
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outputs=[ |
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gr.Video(label="Waveform Visual"), |
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gr.Audio(label="Synthesised Audio"), |
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], |
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title=title, |
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description=description, |
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article=article, |
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examples=examples, |
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).queue().launch(debug=True) |