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