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Create app.py
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app.py
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import subprocess
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import os
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import torch
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if torch.cuda.is_available():
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print("Using GPU")
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else:
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print("Using CPU")
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# Clone the repository
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subprocess.run(["git", "clone", "https://github.com/TheStingerX/Ilaria-RVC-Mainline"], check=True)
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# chande directory
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os.chdir("Ilaria-RVC-Mainline")
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# Download the Pretrains
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def download_file(url, output_path):
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subprocess.run(["aria2c", "--console-log-level=error", "-c", "-x", "16", "-s", "16", "-k", "1M", url, "-d", output_path], check=True)
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# Example usage:
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base_url = "https://huggingface.co/lj1995/{e}/resolve/main/pretrained_v2/"
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output_directory = "/content/Ilaria-RVC-Mainline/assets/pretrained_v2"
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files = [
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"D32k.pth", "D40k.pth", "D48k.pth",
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"G32k.pth", "G40k.pth", "G48k.pth",
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"f0D32k.pth", "f0D40k.pth", "f0D48k.pth", "f0G32k.pth"
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]
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for file in files:
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url = base_url + file
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download_file(url, output_directory)
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urllib.request.urlretrieve("https://raw.githubusercontent.com/poiqazwsx/Ilaria-RVC-Mainline/main/infer/lib/audio.py", "/content/Ilaria-RVC-Mainline/infer/lib/audio.py")
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print("File replaced successfully.")
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os.mkdir("/content/Ilaria-RVC-Mainline/assets/weights")
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os.mkdir("/content/Ilaria-RVC-Mainline/dataset")
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os.mkdir("/content/Ilaria-RVC-Mainline/audios)
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# installing other requirements
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subprocess.run(["pip", "install", "-r", "requirements.txt"], check=True)
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print("Finished Installing")
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subprocess.run(["python", "infer-web.py"], check=True)
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