app.py

import os
import streamlit as st
from groq import Groq

# Load API key from environment variables
api_key = os.environ.get("GROQ_API_KEY")

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

# Streamlit app setup
st.title("AI-powered Routine Assistant")

# Function to get response from the Groq model
def get_groq_response(user_message):
    try:
        chat_completion = client.chat.completions.create(
            messages=[{"role": "user", "content": user_message}],
            model="llama-3.3-70b-versatile",
        )
        return chat_completion.choices[0].message.content
    except Exception as e:
        return f"Error: {str(e)}"

# Display the chatbot's response based on the user's input
user_input = st.text_input("Ask me about your routine:")

if user_input:
    # Make sure the question is routine-related, otherwise guide the user
    if "routine" in user_input.lower() or "schedule" in user_input.lower():
        response = get_groq_response(user_input)
        st.write(response)
    else:
        st.write("I'm here to help with your study routine. Please ask me about your schedule!")