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Create app.py
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app.py
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import os
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import gradio as gr
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from audio_separator.separator import Separator
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# Function for separating the audio
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def separate_audio(audio):
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if audio is None:
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return None, None
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# Step 1: Get the audio file path
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input_file = audio
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# Step 2: Set up output directory and models for separation
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output_dir = "./output"
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os.makedirs(output_dir, exist_ok=True)
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separator = Separator(output_dir=output_dir)
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# Define output paths
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vocals_path = os.path.join(output_dir, 'Vocals.wav')
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instrumental_path = os.path.join(output_dir, 'Instrumental.wav')
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with gr.Progress() as progress:
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# Load model
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progress(0, "Loading model...")
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separator.load_model(model_filename='model_bs_roformer_ep_317_sdr_12.9755.ckpt')
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progress(20, "Model loaded. Starting separation...")
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# Step 3: Splitting track into Vocal and Instrumental
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voc_inst = separator.separate(input_file)
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# Check if separation was successful
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if len(voc_inst) != 2:
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return None, None
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# Save the separated files
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os.rename(voc_inst[0], instrumental_path)
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os.rename(voc_inst[1], vocals_path)
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progress(100, "Separation complete!")
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# Return paths to the processed files
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return instrumental_path, vocals_path
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# Define the Gradio Interface
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with gr.Blocks(theme="NoCrypt/[email protected]") as demo:
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gr.Markdown("# Audio Separator Gradio Demo")
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with gr.Row():
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with gr.Column():
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link_input = gr.Audio(label="Upload Audio File", type="filepath")
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separate_button = gr.Button("Separate Audio")
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with gr.Column():
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instrumental_output = gr.Audio(label="Instrumental Output", type="filepath")
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vocals_output = gr.Audio(label="Vocals Output", type="filepath")
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# Define button functionality
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separate_button.click(
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separate_audio,
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inputs=[link_input],
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outputs=[
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instrumental_output,
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vocals_output,
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]
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)
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# Launch the Gradio app
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demo.launch(debug=True, share=True)
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