app.py

import os
import gradio as gr
from google import genai

# Read the API key from the environment variable
api_key = os.getenv("GOOGLE_API_KEY")

client = genai.Client(api_key=api_key)
chat = client.chats.create(model="gemini-2.0-flash")

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
    api_key="GEMINI_API_KEY",
):
    global chat

    # Send the user message to the chat
    response = chat.send_message(message)

    # Retrieve the chat history
    history = chat.get_history()

    # Format the response and history for display
    formatted_history = "\n".join(
        [f"role - {msg.role}: {msg.parts[0].text}" for msg in history]
    )

    return response.text, formatted_history

"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (nucleus sampling)",
        ),
    ],
)

if __name__ == "__main__":
    demo.launch()