app.py

import os
import streamlit as st
import google.generativeai as genai


# Set up the Streamlit App
st.set_page_config(page_title="Chatbot with Gemini Flash", layout="wide")
st.title("Chatbot with Gemini Flash ⚡️")
st.caption("Chat with Google's Gemini Flash model using text input 🌟")

# Get OpenAI API key from user
api_key = st.text_input("Enter Google API Key", type="password")

# Set up the Gemini model
genai.configure(api_key=api_key)
model = genai.GenerativeModel(model_name="gemini-1.5-flash-latest")

if api_key:
    # Initialize the chat history
    if "messages" not in st.session_state:
        st.session_state.messages = []

    # Main layout
    chat_placeholder = st.container()

    with chat_placeholder:
        # Display the chat history
        for message in st.session_state.messages:
            with st.chat_message(message["role"]):
                st.markdown(message["content"])

    # User input area at the bottom
    prompt = st.chat_input("What do you want to know?")

    if prompt:
        inputs = [prompt]
        
        # Add user message to chat history
        st.session_state.messages.append({"role": "user", "content": prompt})
        # Display user message in chat message container
        with chat_placeholder:
            with st.chat_message("user"):
                st.markdown(prompt)
        

        with st.spinner('Generating response...'):
            # Generate response
            response = model.generate_content(inputs)
    
        # Display assistant response in chat message container
        with chat_placeholder:
            with st.chat_message("assistant"):
                st.markdown(response.text)

    if not prompt:
        st.warning("Please enter a text query.")