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Running
on
T4
Running
on
T4
File size: 953 Bytes
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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) |