app.py

import streamlit as st
import requests

# Create a session for reusing connections
session = requests.Session()

# Function to interact with the AI
def chat_with_ai(message):
    api_url = "https://free-ai-api.devastation-war.repl.co/chat"
    payload = {"message": message}

    try:
        with session.post(api_url, json=payload) as response:
            if response.status_code == 200:
                return response.json().get('response')  # Access 'response' key
            else:
                return {"error": "Failed to get a response from the AI API."}
    except requests.RequestException as e:
        return {"error": f"Error: {e}"}

# Streamlit app
def main():
    st.title("Generate Study Notes")

    # User inputs for class and topic
    user_class = st.sidebar.selectbox('Select your class:', ['Class 1', 'Class 2', 'Class 3', 'Class 4', 'Class 5', 'Class 6',
                                                             'Class 7', 'Class 8', 'Class 9', 'Class 10', 'Class 11', 'Class 12'])
    user_input = st.text_input(f'Enter your study topic for {user_class}:', placeholder='e.g., History')

    # Generate study notes when prompted
    if st.button('Generate Study Notes'):
        if user_input.lower() in ['quit', 'exit', 'bye']:
            st.success("Goodbye! Have a great day!")
        else:
            with st.spinner("Generating study notes. Please wait..."):
                prompt = f"Provide study notes for {user_class} on the topic: {user_input}."
                response = chat_with_ai(prompt)

                # Display generated study notes
                st.subheader(f"Study Notes for {user_class} - {user_input}")
                st.write(response)

if __name__ == "__main__":
    main()