Create app.py

app.py

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+import gradio as gr
+import os
+import inference
+
+def audio_deepfake_detection(demonstration_paths, audio_path):
+    """Audio deepfake detection function"""
+    # Replace with your actual detection logic
+    print("Demonstration audio paths: {}".format(demonstration_paths))
+    print("Query audio path: {}".format(audio_path))
+    
+    # Example return value, modify according to your model
+    result = inference.detect(demonstration_paths, audio_path)
+    
+    # Return detection results and confidence scores
+    return {
+        "Is AI Generated": result["is_fake"],
+        "Confidence": f"{result['confidence']:.2f}%"
+    }
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+        # Audio Deepfake Detection System
+        
+        This demo helps you detect whether an audio clip is AI-generated or authentic.
+        """
+    )
+
+    gr.Markdown(
+        """
+        ## Upload Audio
+        **Note**: Supports common audio formats (wav, mp3, etc.).
+        """
+    )
+
+    # Demonstration audio input component
+    demonstration_audio_input = gr.Audio(
+        sources=["upload"],
+        label="Demonstration Audios",
+        type="filepath",
+    )
+    
+    # Audio input component
+    query_audio_input = gr.Audio(
+        sources=["upload"],
+        label="Query Audio (Audio for Detection)",
+        type="filepath",
+    )
+
+    # Submit button
+    submit_btn = gr.Button(value="Start Detection", variant="primary")
+
+    # Output results
+    output_labels = gr.Json(label="Detection Results")
+
+    # Set click event
+    submit_btn.click(
+        fn=audio_deepfake_detection,
+        inputs=[demonstration_audio_input, query_audio_input],
+        outputs=[output_labels]
+    )
+
+    # Examples section
+    gr.Markdown("## Test Examples")
+    gr.Examples(
+        examples=[
+            ["examples/real_audio.wav", "examples/query_audio.wav"],
+            ["examples/fake_audio.wav", "examples/query_audio.wav"],
+        ],
+        inputs=[demonstration_audio_input, query_audio_input],
+    )
+
+if __name__ == "__main__":
+    demo.launch()