app.py

import streamlit as st
from groq import Groq

# Groq API Key (replace with your actual API key)
groq_api_key = "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"

# Initialize Groq client
client = Groq(api_key=groq_api_key)

# Function to fetch personalized advice using Groq API
def get_personalized_advice(user_data):
    """Fetch personalized advice using the Groq API based on user data."""
    query = f"Based on the user's data: anxiety level: {user_data['anxiety_level']}, self esteem: {user_data['self_esteem']}, mental health history: {user_data['mental_health_history']}, stress level: {user_data['stress_level']}, provide personalized mental health advice."
    
    try:
        response = client.chat.completions.create(
            messages=[{"role": "user", "content": query}],
            model="llama-3.3-70b-versatile",
        )
        return response.choices[0].message.content
    except Exception as e:
        st.error(f"Error fetching advice from Groq: {str(e)}")
        return None

def stress_level_to_string(stress_level):
    """Convert numerical stress level (0, 1, 2) to a string representation."""
    if stress_level == 0:
        return "Low"
    elif stress_level == 1:
        return "Moderate"
    else:
        return "High"

# Chatbot interface for conversation-like experience
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
        st.session_state.user_data = {}

    def next_step():
        st.session_state.step += 1

    def show_input_error(message="Please provide a valid input."):
        st.error(message)
        return False

    # Step 0: Welcome message and initial question
    if st.session_state.step == 0:
        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?")
        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?")
        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.")

    # Step 3: Ask for mental health history
    elif st.session_state.step == 3:
        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
    elif st.session_state.step == 5:
        st.write("Thank you for providing the information!")
        user_data = st.session_state.user_data
        st.write(f"Your data: {user_data}")

        # Show a conversational summary of the user's well-being status
        st.subheader("🔔 Here's Your Personalized Well-being Advice:")
        advice = get_personalized_advice(user_data)
        if advice:
            st.write(advice)
        else:
            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")
        if restart_button:
            st.session_state.step = 0
            st.session_state.user_data = {}

# Main function to run the chatbot
def main():
    chatbot_interface()

if __name__ == "__main__":
    main()