updated path

streamlit_app.py

@@ -42,11 +42,11 @@ chatbot = QLearningChatbot(states, actions)
 
 # Initialize MentalHealthClassifier
 # data_path = "/Users/jaelinlee/Documents/projects/fomo/input/data.csv"
-data_path = os.path.join("data", "processed", "data.csv")
+data_path = os.path.join("data", "data.csv")
 print(data_path)
 
 tokenizer_model_name = "nlptown/bert-base-multilingual-uncased-sentiment"
-mental_classifier_model_path = "app/mental_health_model.pkl"
+mental_classifier_model_path = "mental_health_model.pkl"
 mental_classifier = MentalHealthClassifier(data_path, mental_classifier_model_path)
 
 
@@ -110,7 +110,7 @@ if "asked_questions" not in st.session_state:
     st.session_state.asked_questions = []
 # Check if 'llama_guard_enabled' is already in session state, otherwise initialize it
 if "llama_guard_enabled" not in st.session_state:
-    st.session_state["llama_guard_enabled"] = True  # Default value to True
+    st.session_state["llama_guard_enabled"] = False  # Default value to False
 
 # Select Question Retriever
 selected_retriever_option = st.sidebar.selectbox(
@@ -254,7 +254,7 @@ if user_message:
             load_dotenv(find_dotenv())
 
             llm_model = LLLResponseGenerator()
-            temperature = 0.1
+            temperature = 0.5
             max_length = 128
 
             # Collect all messages exchanged so far into a single text string