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import gradio as gr | |
from TTS.api import TTS | |
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True) | |
def predict(prompt, language, 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",) | |
title = "XTTS: MVP" | |
gr.Interface( | |
fn=predict, | |
inputs=[ | |
gr.Textbox(label="Prompt", info = "One or two sentences at a time is better* (max: 10)", placeholder = "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(choices=["en", "es", "fr", "de", "it", "pt", "pl", "tr", "ru", "nl", "cz", "ar", "zh"], max_choices=1), | |
gr.Audio(label="Upload Speaker WAV", type="filepath"), | |
], | |
outputs=[ | |
gr.Video(label="Synthesised Speech"), | |
], | |
title=title, | |
).launch(debug=True) |