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[dict],
    system_message,
    max_tokens,
    temperature,
    top_p,
    api_key="GEMINI_API_KEY",
):
    # Gemini API 本身已自動管理對話歷史，這裡不需手動加 history
    response = chat.send_message(message)
    return response.text

demo = gr.ChatInterface(
    fn=respond,
    chatbot=gr.Chatbot(),
    textbox=gr.Textbox(placeholder="輸入訊息...", container=False, scale=7),
    title="Gemini 2 Chat",
    description="Gemini 2 多輪對話範例（不手動管理歷史）",
    theme="soft",
    examples=["你好", "你會說英文嗎？", "幫我翻譯這段話：我今天很忙"],
    cache_examples=False,
    additional_inputs=[
        gr.Textbox(value="你是只會說繁體中文的助理。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()