Update app.py
Browse files
app.py
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@@ -92,9 +92,11 @@ def download_audio(url):
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def separate_audio(input_audio, model_voc_inst, model_deecho, model_back_voc):
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output_dir = audio_separat_dir
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separator = Separator(output_dir=output_dir)
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# Define output files
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@@ -123,7 +125,18 @@ def separate_audio(input_audio, model_voc_inst, model_deecho, model_back_voc):
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os.rename(os.path.join(output_dir, backing_voc[0]), backing_vocals) # Rename to “Backing Vocals.wav”
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os.rename(os.path.join(output_dir, backing_voc[1]), lead_vocals) # Rename to “Lead Vocals.wav”
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return
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# Main function to process audio (Inference)
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def process_audio(MODEL_NAME, SOUND_PATH, F0_CHANGE, F0_METHOD, MIN_PITCH, MAX_PITCH, CREPE_HOP_LENGTH, INDEX_RATE,
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@@ -282,6 +295,7 @@ with gr.Blocks(title="Hex RVC", theme=gr.themes.Base(primary_hue="red", secondar
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with gr.Row():
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input_audio = gr.Audio(type="filepath", label="Upload Audio File")
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with gr.Row():
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with gr.Accordion("Separation by Link", open = False):
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with gr.Row():
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@@ -305,16 +319,16 @@ with gr.Blocks(title="Hex RVC", theme=gr.themes.Base(primary_hue="red", secondar
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model_deecho = gr.Textbox(value='UVR-DeEcho-DeReverb.pth', label="DeEcho-DeReverb Model", visible=False)
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model_back_voc = gr.Textbox(value='mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt', label="Backing Vocals Model", visible=False)
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with gr.Row():
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# Launch the Gradio app
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# Define the audio separation function
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def separate_audio(input_audio, model_voc_inst, model_deecho, model_back_voc):
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output_dir = audio_separat_dir
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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 files
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os.rename(os.path.join(output_dir, backing_voc[0]), backing_vocals) # Rename to “Backing Vocals.wav”
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os.rename(os.path.join(output_dir, backing_voc[1]), lead_vocals) # Rename to “Lead Vocals.wav”
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return [
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instrumental, vocals, vocals_no_reverb, vocals_reverb, lead_vocals, backing_vocals
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]
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# Gradio Interface
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def gradio_interface(input_audio, model_voc_inst, model_deecho, model_back_voc):
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# Separate audio and get paths to output files
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results = separate_audio(input_audio, model_voc_inst, model_deecho, model_back_voc)
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# Convert file paths to Gradio downloadable links
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return [gr.File(file) for file in results]
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# Main function to process audio (Inference)
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def process_audio(MODEL_NAME, SOUND_PATH, F0_CHANGE, F0_METHOD, MIN_PITCH, MAX_PITCH, CREPE_HOP_LENGTH, INDEX_RATE,
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with gr.Row():
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input_audio = gr.Audio(type="filepath", label="Upload Audio File")
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with gr.Row():
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with gr.Accordion("Separation by Link", open = False):
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with gr.Row():
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model_deecho = gr.Textbox(value='UVR-DeEcho-DeReverb.pth', label="DeEcho-DeReverb Model", visible=False)
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model_back_voc = gr.Textbox(value='mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt', label="Backing Vocals Model", visible=False)
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submit_button = gr.Button("Separate Audio")
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with gr.Row():
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output_files = gr.File(label="Download Separated Files", multiple=True)
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submit_button.click(
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fn=gradio_interface,
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inputs=[input_audio, model_voc_inst, model_deecho, model_back_voc],
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outputs=output_files
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)
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# Launch the Gradio app
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