Update app.py

app.py

@@ -22,11 +22,16 @@ def get_personalized_advice(user_data):
         st.error(f"Error fetching advice from Groq: {str(e)}")
         return None
 
-# Function for chatbot interaction
+# Function for chatbot interaction with professional styling
 def chatbot_interface():
+    st.set_page_config(page_title="🎓 Student Well-being Chatbot", layout="centered")
     st.title("🎓 Student Well-being Chatbot")
-    st.write("Hello! I’m here to assist you with well-being advice based on your responses.")
-    
+    st.write("Welcome! I'm here to help you with well-being advice tailored to your current state.")
+
+    # Styling the sidebar for improved UX
+    st.sidebar.title("Student Well-being")
+    st.sidebar.write("The well-being questionnaire will guide you through assessing your mental health and providing personalized advice.")
+
     # Initialize session state
     if 'step' not in st.session_state:
         st.session_state.step = 0
@@ -41,40 +46,41 @@ def chatbot_interface():
 
     # Step 0: Welcome message and initial question
     if st.session_state.step == 0:
-        st.write("Bot: Hi there! I'm here to help with your well-being. Let's start! 😊")
-        next_step_button = st.button("Start Chat")
+        st.write("Bot: Hi there! I'm here to assist you with your well-being. Let's get started! 😊")
+        st.markdown("<hr>", unsafe_allow_html=True)
+        next_step_button = st.button("Start Chat", key="start_button", help="Click to start the well-being questionnaire.")
         if next_step_button:
             next_step()
 
     # Step 1: Ask for anxiety level with slider
     elif st.session_state.step == 1:
         st.write("Bot: On a scale of 1 to 10, how would you rate your anxiety level?")
-        anxiety_level = st.slider("Your Anxiety Level:", min_value=1, max_value=10, value=5)
+        anxiety_level = st.slider("Your Anxiety Level:", min_value=1, max_value=10, value=5, step=1, help="Rate your anxiety from 1 (low) to 10 (high).")
         st.session_state.user_data['anxiety_level'] = anxiety_level
         next_step()
 
     # Step 2: Ask for self-esteem with slider
     elif st.session_state.step == 2:
         st.write("Bot: On a scale of 1 to 10, how would you rate your self-esteem?")
-        self_esteem = st.slider("Your Self-Esteem Level:", min_value=1, max_value=10, value=5)
+        self_esteem = st.slider("Your Self-Esteem Level:", min_value=1, max_value=10, value=5, step=1, help="Rate your self-esteem from 1 (low) to 10 (high).")
         st.session_state.user_data['self_esteem'] = self_esteem
         next_step()
 
     # Step 3: Ask for mental health history
     elif st.session_state.step == 3:
         st.write("Bot: How would you describe your mental health history?")
-        mental_health_history = st.multiselect(
+        mental_health_history = st.selectbox(
             "Select your mental health history:",
-            ["None", "Minor Issues", "Moderate Issues", "Severe Issues"]
+            ["None", "Minor Issues", "Moderate Issues", "Severe Issues"],
+            help="Choose an option that best describes your mental health background."
         )
-        if mental_health_history:
-            st.session_state.user_data['mental_health_history'] = ", ".join(mental_health_history)
-            next_step()
+        st.session_state.user_data['mental_health_history'] = mental_health_history
+        next_step()
 
     # Step 4: Ask for stress level with slider
     elif st.session_state.step == 4:
         st.write("Bot: On a scale of 0 to 2, how would you rate your stress level?")
-        stress_level = st.slider("Your Stress Level:", min_value=0, max_value=2, value=1)
+        stress_level = st.slider("Your Stress Level:", min_value=0, max_value=2, value=1, step=1, help="Rate your stress from 0 (low) to 2 (high).")
         st.session_state.user_data['stress_level'] = stress_level
         next_step()
 
@@ -82,7 +88,7 @@ def chatbot_interface():
     elif st.session_state.step == 5:
         st.write("Bot: Thank you for providing the information! Here’s your personalized advice:")
         user_data = st.session_state.user_data
-        st.write(f"Your data: {user_data}")
+        st.write(f"Your Data: {user_data}")
 
         # Fetch personalized advice from Groq
         st.subheader("🔔 Here's Your Personalized Well-being Advice:")
@@ -93,7 +99,8 @@ def chatbot_interface():
             st.write("I couldn't retrieve specific advice right now, but please check back later.")
 
         # Option to restart the chat
-        restart_button = st.button("Start Over")
+        st.markdown("<hr>", unsafe_allow_html=True)
+        restart_button = st.button("Start Over", key="restart_button", help="Click to restart the questionnaire.")
         if restart_button:
             st.session_state.step = 0
             st.session_state.user_data = {}