Update pages/Comparision.py

pages/Comparision.py

@@ -103,24 +103,36 @@ if st.button("Start Analysis"):
             sentiment_score_transformer, sentiment_label_transformer, summary_transformer = future_transformer.result()
             sentiment_score_llama, sentiment_label_llama, summary_llama = future_llama.result()
 
+
+
+
+    # Ensure that the score is properly handled as a float, or display the string as-is
+    def display_score(score):
+        try:
+            # Attempt to format as float if it's a valid number
+            return f"{float(score):.2f}"
+        except ValueError:
+            # If it's not a number, just return the score as is (probably a string error message)
+            return score
+    
     # Display results for Transformers-based analysis in the first column
     with col1:
         st.subheader("Transformers Analysis")
         with st.expander("Sentiment Analysis - Transformers"):
             sentiment_emoji = '😊' if sentiment_label_transformer == 'POSITIVE' else '😞'
             st.write(f"Sentiment: {sentiment_label_transformer} ({sentiment_emoji})")
-            st.write(f"Score: {sentiment_score_transformer:.2f}")
-        
+            st.write(f"Score: {display_score(sentiment_score_transformer)}")  # Use the display_score function
+    
         with st.expander("Summarization - Transformers"):
             st.write(summary_transformer)
-
+    
     # Display results for Llama-based analysis in the second column
     with col2:
         st.subheader("Llama Analysis")
         with st.expander("Sentiment Analysis - Llama"):
             sentiment_emoji = '😊' if sentiment_label_llama == 'POSITIVE' else '😞'
             st.write(f"Sentiment: {sentiment_label_llama} ({sentiment_emoji})")
-            st.write(f"Score: {sentiment_score_llama:.2f}")
-        
+            st.write(f"Score: {display_score(sentiment_score_llama)}")  # Use the display_score function
+    
         with st.expander("Summarization - Llama"):
             st.write(summary_llama)