app.py

import gradio as gr
import google.generativeai as genai

# Set your API key
genai.configure(api_key='YOUR_API_KEY')

# Initialize the model
model = genai.GenerativeModel('gemini-1.5-flash')

def respond(user_message, history, chat_state):
    if chat_state is None:
        # Start a new chat with an initial greeting
        chat_state = model.start_chat(
            messages=[
                {"author": "user", "content": "Hello"},
                {"author": "assistant", "content": "Great to meet you. What would you like to know?"},
            ]
        )
        # Initialize history if it's empty
        if not history:
            history = [["Hello", "Great to meet you. What would you like to know?"]]
    else:
        # Continue the conversation
        pass  # No need to manually append messages; send_message handles it

    # Send the user's message to the model
    response = chat_state.send_message(user_message)
    # Append the user's message and model's response to the history
    history.append([user_message, response.text])
    return history, chat_state, ''

with gr.Blocks() as demo:
    gr.Markdown("<h1 align='center'>Gemini 1.5 Flash Chatbot Demo</h1>")
    chatbot = gr.Chatbot([["Hello", "Great to meet you. What would you like to know?"]])
    msg = gr.Textbox(placeholder="Type your message here...", show_label=False)
    state = gr.State()  # To store the chat_state object

    msg.submit(respond, [msg, chatbot, state], [chatbot, state, msg])

demo.launch()