Create app.py

app.py

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+import gradio as gr
+from spleeter.separator import Separator
+from spleeter.audio.adapter import get_default_audio_adapter
+
+# Initialize the separator with the 2stems model (vocals and accompaniment)
+separator = Separator('spleeter:2stems')
+audio_adapter = get_default_audio_adapter()
+
+def remove_vocals(input_audio):
+    # Load the audio file
+    waveform, sample_rate = audio_adapter.load(input_audio)
+    
+    # Separate the audio into vocals and accompaniment
+    prediction = separator.separate(waveform)
+    
+    # Extract the accompaniment (non-vocal part)
+    accompaniment = prediction['accompaniment']
+    
+    # Save the accompaniment to a temporary file
+    output_audio = "accompaniment.wav"
+    audio_adapter.save(output_audio, accompaniment, sample_rate)
+    
+    return output_audio
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=remove_vocals,
+    inputs="audio",
+    outputs="audio",
+    title="AI Vocal Remover",
+    description="Upload an audio file and the AI will remove the vocals, leaving the accompaniment.",
+    examples=[["example.mp3"]]
+)
+
+# Launch the interface
+iface.launch()