File size: 3,418 Bytes
194fffd fc50d18 194fffd 5bf95a7 ee48acc 194fffd ee48acc 194fffd fc50d18 194fffd e1c65f1 e7a921a 533ef97 e1c65f1 3444a7f 0dfedcd 0f6c489 e7a921a 0f6c489 0dfedcd e7a921a 0dfedcd 0f6c489 e7a921a 0f6c489 0dfedcd 194fffd 142fdc7 e0c1684 142fdc7 0dfedcd 142fdc7 262bc3f 142fdc7 0f6c489 142fdc7 5bf95a7 194fffd 533ef97 0dfedcd 194fffd cff1c92 3444a7f 0f6c489 96f76e3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 |
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 = """
<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>
"""
examples = [
# [
# "Once when I was six years old I saw a magnificent picture.",
# "en",
# "examples/female.wav",
# True
# ],
[
"Lorsque j'avais six ans j'ai vu, une fois, une magnifique image.",
"fr",
"examples/male.wav",
True
],
# [
# "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno.",
# "it",
# "examples/female.wav",
# True
# ],
]
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)
|