Update app.py

app.py

@@ -60,19 +60,19 @@ if uploaded_file:
         prompt_input = f"""Previous session context:\n{rag_context}\n\nCurrent session:\n{raw_transcript}"""
         summary = summarizer(prompt_input, max_length=256, min_length=60, do_sample=False)
 
-            # Emotion tagging
-            st.info("🎭 Extracting emotional tones...")
-            emotion_model = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
-            emotion_scores = emotion_model(raw_transcript)
+        # Emotion tagging
+        st.info("🎭 Extracting emotional tones...")
+        emotion_model = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
+        emotion_scores = emotion_model(raw_transcript)
 
-            # Layout with Tabs
+        # Layout with Tabs
 
-            with tab1:
-                st.subheader("📝 Speaker-Simulated Transcript")
-                st.markdown(diarized_transcript, unsafe_allow_html=True)
+        with tab1:
+            st.subheader("📝 Speaker-Simulated Transcript")
+            st.markdown(diarized_transcript, unsafe_allow_html=True)
 
-            with tab2:
-                st.subheader("📋 Contextual Summary")
+        with tab2:
+            st.subheader("📋 Contextual Summary")
 
         # Insight Tracking based on previous sessions
         insights = []