Update app.py

app.py

@@ -160,48 +160,48 @@ if uploaded_file:
         if os.path.exists(audio_path):
             os.remove(audio_path)
 
-    tab1, tab2, tab3, tab4 = st.tabs(["📝 Transcript", "📋 Summary", "💬 Emotions", "📈 Trends"])
+        tab1, tab2, tab3, tab4 = st.tabs(["📝 Transcript", "📋 Summary", "💬 Emotions", "📈 Trends"])
 
         with tab1:
-        st.subheader("📝 Speaker-Simulated Transcript")
-        if 'diarized_transcript' in locals():
-            st.markdown(diarized_transcript, unsafe_allow_html=True)
-        else:
-            st.warning("Transcript not available.")
+            st.subheader("📝 Speaker-Simulated Transcript")
+            if 'diarized_transcript' in locals():
+                st.markdown(diarized_transcript, unsafe_allow_html=True)
+            else:
+                st.warning("Transcript not available.")
     
         with tab2:
-        st.subheader("📋 Contextual Summary")
-        if 'summary' in locals():
-    
-            # Insight Tracking based on previous sessions
-            insights = []
-            if "music" in raw_transcript.lower():
-                if any("walking" in s["coping"] for s in past_sessions):
-                    insights.append("Patient previously mentioned walking as a helpful coping mechanism. This time, music is highlighted instead.")
-            if "sleep" in raw_transcript.lower():
-                insights.append("Sleep continues to be a recurring theme across sessions.")
-    
-            final_output = f"{summary[0]['summary_text']}\n\nContextual Observations:\n" + "\n".join(insights)
-            st.write(final_output)
-        else:
-            st.warning("Summary not available.")
+            st.subheader("📋 Contextual Summary")
+            if 'summary' in locals():
+        
+                # Insight Tracking based on previous sessions
+                insights = []
+                if "music" in raw_transcript.lower():
+                    if any("walking" in s["coping"] for s in past_sessions):
+                        insights.append("Patient previously mentioned walking as a helpful coping mechanism. This time, music is highlighted instead.")
+                if "sleep" in raw_transcript.lower():
+                    insights.append("Sleep continues to be a recurring theme across sessions.")
+        
+                final_output = f"{summary[0]['summary_text']}\n\nContextual Observations:\n" + "\n".join(insights)
+                st.write(final_output)
+            else:
+                st.warning("Summary not available.")
     
         with tab3:
-        st.subheader("💬 Emotional Insights (Overall)")
-        if 'emotion_scores' in locals():
-            for emo in emotion_scores[0]:
-                st.write(f"{emo['label']}: {round(emo['score']*100, 2)}%")
-        else:
-            st.warning("No emotional data to display.")
+            st.subheader("💬 Emotional Insights (Overall)")
+            if 'emotion_scores' in locals():
+                for emo in emotion_scores[0]:
+                    st.write(f"{emo['label']}: {round(emo['score']*100, 2)}%")
+            else:
+                st.warning("No emotional data to display.")
     
         with tab4:
-        st.subheader("📈 Emotional Trends Over Time")
-        session_dates = ["2024-04-01", "2024-04-08", "2024-04-15", "2024-04-22"]
-        anxiety_scores = [70, 65, 55, 40]
-        sadness_scores = [30, 20, 25, 15]
-    
-        fig = go.Figure()
-        fig.add_trace(go.Scatter(x=session_dates, y=anxiety_scores, mode='lines+markers', name='Anxiety'))
-        fig.add_trace(go.Scatter(x=session_dates, y=sadness_scores, mode='lines+markers', name='Sadness'))
-        fig.update_layout(title='Emotional Trends', xaxis_title='Date', yaxis_title='Score (%)')
-        st.plotly_chart(fig)
+            st.subheader("📈 Emotional Trends Over Time")
+            session_dates = ["2024-04-01", "2024-04-08", "2024-04-15", "2024-04-22"]
+            anxiety_scores = [70, 65, 55, 40]
+            sadness_scores = [30, 20, 25, 15]
+        
+            fig = go.Figure()
+            fig.add_trace(go.Scatter(x=session_dates, y=anxiety_scores, mode='lines+markers', name='Anxiety'))
+            fig.add_trace(go.Scatter(x=session_dates, y=sadness_scores, mode='lines+markers', name='Sadness'))
+            fig.update_layout(title='Emotional Trends', xaxis_title='Date', yaxis_title='Score (%)')
+            st.plotly_chart(fig)