Blane187 commited on
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03b76a9
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Create app.py

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  1. app.py +73 -0
app.py ADDED
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+ import wave
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+ import gradio as gr
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+
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+ pretrains = {
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+ "OV2-32k": {
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+ "D": "https://huggingface.co/poiqazwsx/Ov2Super32kfix/resolve/main/f0Ov2Super32kD.pth",
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+ "G": "https://huggingface.co/poiqazwsx/Ov2Super32kfix/resolve/main/f0Ov2Super32kG.pth"
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+ },
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+ "OV2-40k": {
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+ "D": "https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kD.pth",
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+ "G": "https://huggingface.co/ORVC/Ov2Super/resolve/main/f0Ov2Super40kG.pth"
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+ },
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+ "RIN-40k": {
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+ "D": "https://huggingface.co/ORVC/RIN_E3/resolve/main/RIN_E3_D.pth",
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+ "G": "https://huggingface.co/ORVC/RIN_E3/resolve/main/RIN_E3_G.pth"
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+ },
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+ "Snowie-40k": {
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+ "D": "https://huggingface.co/ORVC/Snowie_RuPretrain_40k/resolve/main/D_Snowie_RuPretrain_EnP.pth",
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+ "G": "https://huggingface.co/ORVC/Snowie_RuPretrain_40k/resolve/main/G_Snowie_RuPretrain_EnP.pth"
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+ },
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+ "Snowie-48k": {
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+ "D": "https://huggingface.co/ORVC/Snowie_RuPretrain_48k/resolve/main/D_Snowie_Rupretrain_48k_V1.2.pth",
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+ "G": "https://huggingface.co/ORVC/Snowie_RuPretrain_48k/resolve/main/G_Snowie_Rupretrain_48k_V1.2.pth"
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+ },
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+ "SnowieV3.1-40k": {
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+ "D": "https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/D_SnowieV3.1_40k.pth",
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+ "G": "https://huggingface.co/MUSTAR/SnowieV3.1-40k/resolve/main/G_SnowieV3.1_40k.pth"
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+ },
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+ "SnowieV3.1-32k": {
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+ "D": "https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/D_SnowieV3.1_32k.pth",
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+ "G": "https://huggingface.co/MUSTAR/SnowieV3.1-32k/resolve/main/G_SnowieV3.1_32k.pth"
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+ },
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+ "SnowieV3.1-48k": {
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+ "D": "https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/D_SnowieV3.1_48k.pth",
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+ "G": "https://huggingface.co/MUSTAR/SnowieV3.1-48k/resolve/main/G_SnowieV3.1_48k.pth"
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+ },
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+ "SnowieV3.1-X-RinE3-40k": {
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+ "D": "https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/D_Snowie-X-Rin_40k.pth",
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+ "G": "https://huggingface.co/MUSTAR/SnowieV3.1-X-RinE3-40K/resolve/main/G_Snowie-X-Rin_40k.pth"
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+ }
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+ }
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+
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+ def get_training_info(audio_file):
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+ if audio_file is None:
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+ return 'Please provide an audio file!'
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+ duration = get_audio_duration(audio_file)
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+ sample_rate = wave.open(audio_file, 'rb').getframerate()
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+
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+ training_info = {
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+ (0, 2): (150, 'OV2'),
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+ (2, 3): (200, 'OV2'),
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+ (3, 5): (250, 'OV2'),
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+ (5, 10): (300, 'Normal'),
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+ (10, 25): (500, 'Normal'),
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+ (25, 45): (700, 'Normal'),
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+ (45, 60): (1000, 'Normal')
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+ }
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+
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+ for (min_duration, max_duration), (epochs, pretrain) in training_info.items():
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+ if min_duration <= duration < max_duration:
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+ break
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+ else:
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+ return 'Duration is not within the specified range dude'
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+
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+ return f'u should use the **{pretrain}** pretrain with **{epochs}** epochs at **{sample_rate/1000}khz** sample rate\n good luck at training ;).'
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+
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+
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+
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+ with gr.Blocks() as demo:
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+ audio_p = gr.Audio(label="Your Audio here")
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+ audio_q = Texbox(label="Your Output here")
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+ wtar = gr.Button("Start!")
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+ wtar.click(get_training_info, inputs=[audio_p], outputs=[audio_q])