import streamlit as st
import google.generativeai as genai

# Configure Gemini API
genai.configure(api_key='AIzaSyCFpgd3wBtKDYcr6k2mQcW21sxnoZ8oL90')
model = genai.GenerativeModel('gemini-pro')

def generate_response(user_message):
    try:
        # Use Gemini API to generate a response
        response = model.generate_content(user_message)

        # Check if the response has text
        if response.text:
            return response.text
        else:
            return "Error: The model generated an empty response."
    except Exception as e:
        return f"An error occurred: {str(e)}"

# Streamlit UI
st.title("🐹Gemini QA System🐹")
st.write("Ask a question and get an answer from Gemini AI.")

user_message = st.text_input("Enter your question here...")

if st.button("Get Answer"):
    response = generate_response(user_message)
    st.text_area("Gemini's Response", value=response, height=200)

# Examples
st.sidebar.title("Examples")
st.sidebar.write("Click on an example to use it:")
examples = ["What is the capital of France?", "Explain quantum computing in simple terms."]
for example in examples:
    if st.sidebar.button(example):
        st.session_state.user_message = example
        response = generate_response(example)
        st.text_area("Gemini's Response", value=response, height=200)