Update app.py

app.py

@@ -0,0 +1,51 @@
+import gradio as gr
+from app import DeepfakeAnalyzer  # Import your backend code
+
+# Initialize the analyzer instance
+analyzer = DeepfakeAnalyzer()
+
+# Define the Gradio function to analyze the video and return detailed results
+def analyze_video(video_file):
+    # Run the analyzer on the video file
+    results = analyzer.analyze_media(video_file)
+    
+    # Prepare detailed results
+    combined_probability = results['combined_assessment']
+    audio_analysis = results["audio_analysis"]
+    video_probability = results['video_analysis']['probability']
+    frame_count = len(results['video_analysis']['frame_results'])
+
+    # Format the output for display
+    output = {
+        "Audio Analysis": audio_analysis,
+        "Deepfake Probability (Combined Assessment)": f"{combined_probability:.2f}%",
+        "Video Analysis": {
+            "Deepfake Probability": f"{video_probability:.4f}",
+            "Frames Analyzed": frame_count,
+            "Frame Analysis Summary": [
+                {
+                    "Frame Number": frame_result["frame_number"],
+                    "Noise Level": frame_result["noise"],
+                    "Edge Density": frame_result["edge_density"],
+                    "Color Consistency": frame_result["color_consistency"],
+                    "Temporal Difference": frame_result["temporal_difference"],
+                    "Probability": frame_result["probability"]
+                }
+                for frame_result in results['video_analysis']['frame_results']
+            ]
+        }
+    }
+    return output
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=analyze_video,
+    inputs=gr.Video(label="Upload Video"),
+    outputs="json",
+    title="Deepfake Analyzer",
+    description="Upload a video to analyze for deepfake content. The analyzer provides audio and video analysis results."
+)
+
+# Launch Gradio app
+if __name__ == "__main__":
+    interface.launch()