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import subprocess |
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import os |
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import torch |
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import urllib.request |
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device = "cpu" |
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os.environ["COQUI_TOS_AGREED"] = "1" |
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import gradio as gr |
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import torch |
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import os |
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import zipfile |
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import requests |
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from TTS.api import TTS |
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os.environ["COQUI_TOS_AGREED"] = "1" |
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device = "cpu" |
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device) |
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def clone(text, url, language): |
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response = requests.get(url) |
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with open("temp.zip", "wb") as f: |
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f.write(response.content) |
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with zipfile.ZipFile("temp.zip", "r") as zip_ref: |
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zip_ref.extractall() |
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audio_file = [f for f in os.listdir(".") if f.endswith(".wav")][0] |
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tts.tts_to_file(text=text, speaker_wav=audio_file, language=language, file_path="./output.wav") |
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os.remove(audio_file) |
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os.remove("temp.zip") |
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return "./output.wav" |
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iface = gr.Interface(fn=clone, |
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inputs=["text", gr.components.Text(label="URL"), gr.Dropdown(choices=["en", "es", "fr", "de", "it", "ja", "zh-CN", "zh-TW"], label="Language")], |
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outputs=gr.Audio(type='filepath'), |
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title='Voice Clone', |
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description=""" |
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by [Angetyde](https://youtube.com/@Angetyde?si=7nusP31nTumIkPTF) and [Tony Assi](https://www.tonyassi.com/ ) |
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use this colab with caution <3. |
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""", |
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theme=gr.themes.Base(primary_hue="teal", secondary_hue="teal", neutral_hue="slate")) |
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iface.launch(share=True) |
