Update app.py

app.py

@@ -1,9 +1,8 @@
 import streamlit as st
-import pandas as pd
 from groq import Groq
 
 # Groq API Key (replace with your actual API key)
-groq_api_key = "your_groq_api_key"
+groq_api_key = "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"
 
 # Initialize Groq client
 client = Groq(api_key=groq_api_key)
@@ -36,7 +35,7 @@ def stress_level_to_string(stress_level):
 def chatbot_interface():
     st.title("🎓 Student Well-being Chatbot")
     st.write("Hello! I’m here to assist you with well-being advice based on your responses.")
-    
+
     # Initialize session state
     if 'step' not in st.session_state:
         st.session_state.step = 0
@@ -51,33 +50,35 @@ def chatbot_interface():
 
     # Step 0: Welcome message and initial question
     if st.session_state.step == 0:
-        st.write("I'm going to ask you a few questions to understand your well-being. Let's get started!")
+        st.write("Hi! I'm here to assist you with well-being advice based on your responses. Let's get started!")
         next_step_button = st.button("Start Chat")
         if next_step_button:
             next_step()
 
     # Step 1: Ask for anxiety level
     elif st.session_state.step == 1:
-        anxiety_level = st.text_input("On a scale of 1 to 10, how would you rate your anxiety level?", "")
+        anxiety_level = st.text_input("On a scale of 1 to 10, how would you rate your anxiety level?")
         if anxiety_level:
             try:
                 anxiety_level = int(anxiety_level)
                 if anxiety_level < 1 or anxiety_level > 10:
                     raise ValueError
                 st.session_state.user_data['anxiety_level'] = anxiety_level
+                st.write(f"Got it! Your anxiety level is {anxiety_level}.")
                 next_step()
             except ValueError:
                 show_input_error("Please enter a number between 1 and 10 for anxiety level.")
 
     # Step 2: Ask for self-esteem
     elif st.session_state.step == 2:
-        self_esteem = st.text_input("On a scale of 1 to 10, how would you rate your self-esteem?", "")
+        self_esteem = st.text_input("On a scale of 1 to 10, how would you rate your self-esteem?")
         if self_esteem:
             try:
                 self_esteem = int(self_esteem)
                 if self_esteem < 1 or self_esteem > 10:
                     raise ValueError
                 st.session_state.user_data['self_esteem'] = self_esteem
+                st.write(f"Got it! Your self-esteem level is {self_esteem}.")
                 next_step()
             except ValueError:
                 show_input_error("Please enter a number between 1 and 10 for self-esteem.")
@@ -87,12 +88,14 @@ def chatbot_interface():
         mental_health_history = st.selectbox("How would you describe your mental health history?", 
                                             ["None", "Minor Issues", "Moderate Issues", "Severe Issues"])
         st.session_state.user_data['mental_health_history'] = mental_health_history
+        st.write(f"Got it! Your mental health history is: {mental_health_history}.")
         next_step()
 
     # Step 4: Ask for stress level
     elif st.session_state.step == 4:
         stress_level = st.radio("On a scale of 0 to 2, how would you rate your stress level?", [0, 1, 2])
         st.session_state.user_data['stress_level'] = stress_level
+        st.write(f"Got it! Your stress level is: {stress_level_to_string(stress_level)}.")
         next_step()
 
     # Step 5: Show advice based on user input