Update app.py

app.py

@@ -69,29 +69,31 @@ analyzer = backend.DeepfakeAnalyzer()  # Use the imported module's class or func
 
 # Define the Gradio function to analyze the video
 def analyze_video(video_file):
-    # Truncate the video to 15 seconds
-    truncated_video = truncate_video(video_file)
-    
-    # Pass the truncated video to the analyzer
-    results = analyzer.analyze_media(truncated_video)
-    
-    # Get the combined assessment probability
-    combined_probability = results['combined_assessment']
-    
-    # Interpret the result as genuine or deepfake based on probability threshold
-    if combined_probability < 50:
-        analysis_result = "genuine/original"
-    else:
-        analysis_result = "a deepfake"
-    
-    # Create a readable output message
-    output_text = (
-        f"According to our analysis, the video you uploaded appears to be {analysis_result} "
-        f"with a {combined_probability:.2f}% probability. "
-        f"{len(results['video_analysis']['frame_results'])} frames were analyzed in total."
-    )
-    
-    return output_text
+    try:
+        # Truncate the video to 15 seconds
+        truncated_video = truncate_video(video_file)
+        
+        # Pass the truncated video to the analyzer
+        results = analyzer.analyze_media(truncated_video)
+        
+        # Check combined probability to interpret the result
+        combined_probability = results.get('combined_assessment', 0)
+        analysis_result = "genuine/original" if combined_probability < 50 else "a deepfake"
+        
+        # Construct the output message
+        output_text = (
+            f"According to our analysis, the video you uploaded appears to be {analysis_result} "
+            f"with a {combined_probability:.2f}% probability. "
+            f"{len(results['video_analysis']['frame_results'])} frames were analyzed in total."
+        )
+        
+        return output_text
+
+    except Exception as e:
+        # Log the error and return a user-friendly message
+        logging.error(f"Error during analysis: {e}")
+        return "An error occurred during video analysis. Please check your input and try again."
+
 
 # Define the Gradio interface with a text output for readability
 interface = gr.Interface(