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| import gradio as gr | |
| from TTS.api import TTS | |
| model_id = "tts_models/multilingual/multi-dataset/xtts_v1" | |
| device = "cuda" | |
| tts = TTS(model_id) | |
| tts.to(device) | |
| def predict(prompt, audio_file_pth): | |
| tts.tts_to_file( | |
| text=prompt, | |
| file_path="output.wav", | |
| speaker_wav=audio_file_pth, | |
| language=language, | |
| ) | |
| return ( | |
| gr.make_waveform( | |
| audio="output.wav", | |
| ), | |
| "output.wav", | |
| ) | |
| title = "Coquib🐸 XTTS - Spanish Demo" | |
| description = """ | |
| <a href="https://huggingface.co/coqui/XTTS-v1">XTTS</a> 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> | |
| """ | |
| gr.Interface( | |
| fn=predict, | |
| inputs=[ | |
| gr.Textbox( | |
| label="Texto", | |
| info="Una o dos frases es suficiente-", | |
| value="Clibrain es una empresa que desarrolla soluciones basadas en inteligencia artificial en español.", | |
| ), | |
| gr.Audio( | |
| label="Audio de referencia", | |
| info="Haz clic en el botón ✎ para subir tu propio audio o del hablante objetivo", | |
| type="filepath", | |
| value="examples/female.wav", | |
| ), | |
| ], | |
| outputs=[ | |
| gr.Video(label="Waveform Visual"), | |
| gr.Audio(label="Synthesised Audio"), | |
| ], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| ).queue().launch(debug=True) | |