try1

app.py

@@ -165,36 +165,44 @@ def main():
 
                 # Detailed analysis sections
                 with st.expander("View Detailed Analysis"):
-                    # Text Classification
-                    st.subheader("Text Classification")
-                    st.write(f"Category: {gemini_result['text_classification']['category']}")
-                    st.write(f"Writing Style: {gemini_result['text_classification']['writing_style']}")
-                    st.write(f"Target Audience: {gemini_result['text_classification']['target_audience']}")
-                    st.write(f"Content Type: {gemini_result['text_classification']['content_type']}")
-                    
-                    # Sentiment Analysis
-                    st.subheader("Sentiment Analysis")
-                    st.write(f"Primary Emotion: {gemini_result['sentiment_analysis']['primary_emotion']}")
-                    st.write(f"Emotional Intensity: {gemini_result['sentiment_analysis']['emotional_intensity']}/10")
-                    st.write(f"Sensationalism Level: {gemini_result['sentiment_analysis']['sensationalism_level']}")
-                    
-                    # Entity Recognition
-                    st.subheader("Entity Recognition")
-                    st.write(f"Source Credibility: {gemini_result['entity_recognition']['source_credibility']}")
-                    st.write("Key People:", ", ".join(gemini_result['entity_recognition']['people']))
-                    st.write("Organizations:", ", ".join(gemini_result['entity_recognition']['organizations']))
-                    
-                    # Context & Claims
-                    st.subheader("Context & Claims")
-                    st.write("Main Narrative:", gemini_result['context']['main_narrative'])
-                    st.write("Key Claims:")
-                    for claim in gemini_result['fact_checking']['verifiable_claims']:
-                        st.write(f"• {claim}")
-                    
-                    # Reasoning
-                    st.subheader("Analysis Reasoning")
-                    for point in gemini_result['gemini_analysis']['reasoning']:
-                        st.write(f"• {point}")
+                    try:
+                        # Text Classification
+                        st.subheader("📝 Text Classification")
+                        text_class = gemini_result.get('text_classification', {})
+                        st.write(f"Category: {text_class.get('category', 'N/A')}")
+                        st.write(f"Writing Style: {text_class.get('writing_style', 'N/A')}")
+                        st.write(f"Target Audience: {text_class.get('target_audience', 'N/A')}")
+                        st.write(f"Content Type: {text_class.get('content_type', 'N/A')}")
+                        
+                        # Sentiment Analysis
+                        st.subheader("🎭 Sentiment Analysis")
+                        sentiment = gemini_result.get('sentiment_analysis', {})
+                        st.write(f"Primary Emotion: {sentiment.get('primary_emotion', 'N/A')}")
+                        st.write(f"Emotional Intensity: {sentiment.get('emotional_intensity', 'N/A')}/10")
+                        st.write(f"Sensationalism Level: {sentiment.get('sensationalism_level', 'N/A')}")
+                        
+                        # Entity Recognition
+                        st.subheader("🔍 Entity Recognition")
+                        entities = gemini_result.get('entity_recognition', {})
+                        st.write(f"Source Credibility: {entities.get('source_credibility', 'N/A')}")
+                        st.write("Key People:", ", ".join(entities.get('people', ['N/A'])))
+                        st.write("Organizations:", ", ".join(entities.get('organizations', ['N/A'])))
+                        
+                        # Context & Claims
+                        st.subheader("📊 Context & Claims")
+                        context = gemini_result.get('context', {})
+                        st.write("Main Narrative:", context.get('main_narrative', 'N/A'))
+                        st.write("Key Claims:")
+                        for claim in gemini_result.get('fact_checking', {}).get('verifiable_claims', ['N/A']):
+                            st.write(f"• {claim}")
+                        
+                        # Reasoning
+                        st.subheader("💭 Analysis Reasoning")
+                        for point in gemini_result.get('gemini_analysis', {}).get('reasoning', ['N/A']):
+                            st.write(f"• {point}")
+                            
+                    except Exception as e:
+                        st.error("Error processing Gemini analysis results")
 
 
                 with st.expander("Named Entities"):