Create app.py

app.py

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+import os
+import gradio as gr
+from audio_separator.separator import Separator
+
+# Function for separating the audio
+def separate_audio(audio):
+    if audio is None:
+        return None, None
+
+    # Step 1: Get the audio file path
+    input_file = audio
+
+    # Step 2: Set up output directory and models for separation
+    output_dir = "./output"
+    os.makedirs(output_dir, exist_ok=True)
+
+    separator = Separator(output_dir=output_dir)
+
+    # Define output paths
+    vocals_path = os.path.join(output_dir, 'Vocals.wav')
+    instrumental_path = os.path.join(output_dir, 'Instrumental.wav')
+
+    with gr.Progress() as progress:
+        # Load model
+        progress(0, "Loading model...")
+        separator.load_model(model_filename='model_bs_roformer_ep_317_sdr_12.9755.ckpt')
+        progress(20, "Model loaded. Starting separation...")
+
+        # Step 3: Splitting track into Vocal and Instrumental
+        voc_inst = separator.separate(input_file)
+
+        # Check if separation was successful
+        if len(voc_inst) != 2:
+            return None, None
+        
+        # Save the separated files
+        os.rename(voc_inst[0], instrumental_path)
+        os.rename(voc_inst[1], vocals_path)
+
+        progress(100, "Separation complete!")
+    
+    # Return paths to the processed files
+    return instrumental_path, vocals_path
+
+# Define the Gradio Interface
+with gr.Blocks(theme="NoCrypt/miku@1.2.2") as demo:
+    gr.Markdown("# Audio Separator Gradio Demo")
+
+    with gr.Row():
+        with gr.Column():
+            link_input = gr.Audio(label="Upload Audio File", type="filepath")
+            separate_button = gr.Button("Separate Audio")
+        
+        with gr.Column():
+            instrumental_output = gr.Audio(label="Instrumental Output", type="filepath")
+            vocals_output = gr.Audio(label="Vocals Output", type="filepath")
+            
+    # Define button functionality
+    separate_button.click(
+        separate_audio,
+        inputs=[link_input],
+        outputs=[
+            instrumental_output,
+            vocals_output,
+        ]
+    )
+
+# Launch the Gradio app
+demo.launch(debug=True, share=True)