Debugging1

app.py

@@ -53,23 +53,23 @@ def display_detailed_analysis(results):
     # Main Metrics
     col1, col2 = st.columns(2)
     with col1:
-        st.metric("Final Verdict", results["Final Prediction"])
-        st.metric("CNN Analysis", results["CNN Prediction"])
+        st.metric("Final Verdict", results.get("Final Prediction", "Not Available"))
+        st.metric("CNN Analysis", results.get("CNN Prediction", "Not Available"))
     with col2:
-        st.metric("Confidence Score", f"{results['Confidence Score']*100:.1f}%")
-        st.metric("Metadata Check", results["Metadata Analysis"])
+        st.metric("Confidence Score", f"{results.get('Confidence Score', 0)*100:.1f}%")
+        st.metric("Metadata Check", results.get("Metadata Analysis", "Not Available"))
     
     # Technical Analysis
     st.write("📊 Technical Analysis:")
-    st.write(f"- **Artifact Detection**: {results['Artifact Analysis']}")
-    st.write(f"- **Noise Pattern Analysis**: {results['Noise Pattern Analysis']}")
+    st.write(f"- **Artifact Detection**: {results.get('Artifact Analysis', 'Not Available')}")
+    st.write(f"- **Noise Pattern Analysis**: {results.get('Noise Pattern Analysis', 'Not Available')}")
     
     # Symmetry Analysis if available
     if "Symmetry Analysis" in results:
         st.write("🎯 Symmetry Measurements:")
         symmetry = results["Symmetry Analysis"]
-        st.write(f"- **Vertical Symmetry**: {symmetry['Vertical Symmetry']*100:.1f}%")
-        st.write(f"- **Horizontal Symmetry**: {symmetry['Horizontal Symmetry']*100:.1f}%")
+        st.write(f"- **Vertical Symmetry**: {symmetry.get('Vertical Symmetry', 0)*100:.1f}%")
+        st.write(f"- **Horizontal Symmetry**: {symmetry.get('Horizontal Symmetry', 0)*100:.1f}%")
 
 def main():
     st.title("Deepfake Detection System")
@@ -93,18 +93,6 @@ def main():
                 with st.spinner("Analyzing video frames..."):
                     results = process_video_in_memory(file)
                     
-                    # Display results
-                    st.subheader("Video Analysis Results")
-                    col1, col2 = st.columns(2)
-                    
-                    with col1:
-                        st.metric("Final Prediction", results["Final Video Prediction"])
-                        st.metric("Confidence Score", f"{results['Confidence Score']*100:.2f}%")
-                    
-                    with col2:
-                        st.metric("Fake Frames", results["Fake Frames"])
-                        st.metric("Real Frames", results["Real Frames"])
-                    
                     display_detailed_analysis(results)
 
 if __name__ == "__main__":