app.py

import streamlit as st
import os
from groq import Groq
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Initialize Groq client
client = Groq(api_key=os.getenv("GROQ_API_KEY"))

# Streamlit UI
st.set_page_config(page_title="Knowledge Book Recommender", layout="wide")

st.title("📚 Knowledge Book Recommender")
st.write("Get book recommendations on various knowledge domains.")

# User input
query = st.text_input("Enter a topic or field of interest:", "")

if st.button("Get Recommendations"):
    if query:
        with st.spinner("Fetching book recommendations..."):
            chat_completion = client.chat.completions.create(
                messages=[
                    {
                        "role": "user",
                        "content": f"Recommend some high-quality books on {query}. Include title, author, description, and why it's valuable.",
                    }
                ],
                model="llama-3.3-70b-versatile",
            )

            response = chat_completion.choices[0].message.content
            st.subheader("Recommended Books:")
            st.write(response)
    else:
        st.warning("Please enter a topic to get recommendations.")