Upload app.py

app.py

@@ -250,7 +250,7 @@ def process_query(user_query, input_type="text"):
     emotion_result = emotion_classifier(user_query)[0]
     print(f"Detected emotion: {emotion_result}")
     emotion = emotion_result['label']
-    value = emotion_result['score']
+    value = round(emotion_result['score'], 2)
 
     # Define RAG prompt
     prompt_in_chat_format = [
@@ -318,7 +318,7 @@ def process_query(user_query, input_type="text"):
     download_path = create_summary_txt(answer)
 
     timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    user_id = session_data["latest"]["user_id"]  # grab it from session
+    user_id = session_data["latest"]["user_id"]  
 
     # Prepend to the answer string
     answer_header = f"🧾 Session ID: {user_id}\n📅 Timestamp: {timestamp}\n\n"