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| import gradio as gr | |
| from TTS.api import TTS | |
| tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1") | |
| tts.to("cuda") | |
| def predict(prompt, language, audio_file_pth, agree): | |
| if agree == True: | |
| tts.tts_to_file( | |
| text=prompt, | |
| file_path="output.wav", | |
| speaker_wav=audio_file_pth, | |
| language=language, | |
| ) | |
| return gr.make_waveform( | |
| audio="output.wav", | |
| ), gr.Audio(value="output.wav") | |
| else: | |
| gr.Warning("Please accept the Terms & Condition!") | |
| title = "Coqui🐸 XTTS" | |
| description = """ | |
| XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip. | |
| <br/> | |
| Built on Tortoise, XTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy. | |
| <br/> | |
| This is the same model that powers Coqui Studio, and Coqui API, however we apply a few tricks to make it faster and support streaming inference. | |
| <br/> | |
| <br/> | |
| <p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings. | |
| <br/> | |
| <a href="https://huggingface.co/spaces/coqui/xtts?duplicate=true"> | |
| <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> | |
| </p> | |
| """ | |
| article = """ | |
| <div style='margin:20px auto;'> | |
| <p>By using this demo you agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml</p> | |
| </div> | |
| """ | |
| examples = [ | |
| # [ | |
| # "Once when I was six years old I saw a magnificent picture.", | |
| # "en", | |
| # "examples/female.wav", | |
| # ], | |
| [ | |
| "Lorsque j'avais six ans j'ai vu, une fois, une magnifique image.", | |
| "fr", | |
| "examples/male.wav", | |
| ], | |
| # [ | |
| # "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno.", | |
| # "it", | |
| # "examples/female.wav", | |
| # ], | |
| ] | |
| gr.Interface( | |
| fn=predict, | |
| inputs=[ | |
| gr.Textbox( | |
| label="Text Prompt", | |
| info="One or two sentences at a time is better", | |
| value="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", | |
| ), | |
| gr.Dropdown( | |
| label="Language", | |
| info="Select an output language for the synthesised speech", | |
| choices=[ | |
| "en", | |
| "es", | |
| "fr", | |
| "de", | |
| "it", | |
| "pt", | |
| "pl", | |
| "tr", | |
| "ru", | |
| "nl", | |
| "cz", | |
| "ar", | |
| "zh", | |
| ], | |
| max_choices=1, | |
| value="en", | |
| ), | |
| gr.Audio( | |
| label="Reference Audio", | |
| info="Click on the ✎ button to upload your own target speaker audio", | |
| type="filepath", | |
| value="examples/male.wav", | |
| ), | |
| gr.Checkbox(label="Agree", value=True, info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml") | |
| ], | |
| outputs=[ | |
| gr.Video(label="Synthesised Waveform"), | |
| gr.Audio(label="Synthesised Audio"), | |
| ], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| ).queue().launch(debug=True) | |