app.py

import streamlit as st
import google.generativeai as genai

# Configure Gemini API
genai.configure(api_key='AIzaSyCgfXYWyJjK8YrApUjO6433P3WAdpwQi0Y')
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)}"

# Initialize session state for conversation history
if 'conversation' not in st.session_state:
    st.session_state.conversation = []

st.title("🦷🦷Gemini QA System🦷🦷")
st.write("Ask a question and get an answer from Gemini AI.")

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

if st.button("Submit"):
    if user_message:
        response = generate_response(user_message)
        st.session_state.conversation.append((user_message, response))

# Display conversation history
if st.session_state.conversation:
    st.write("### Conversation History")
    for i, (question, answer) in enumerate(st.session_state.conversation):
        st.write(f"**Q{i+1}:** {question}")
        st.write(f"**A{i+1}:** {answer}")

# Examples in the sidebar
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):
        response = generate_response(example)
        st.session_state.conversation.append((example, response))