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()