very simplified

app.py

@@ -6,42 +6,18 @@ from google import genai
 api_key = os.getenv("GOOGLE_API_KEY")
 client = genai.Client(api_key=api_key)
 chat = client.chats.create(model="gemini-2.0-flash")
+system_prompt = "You are a helpful assistant and always respond in Traditional Chinese."
 
 # 回應函數（符合 type="messages" 的格式）
-def respond(
-    message,
-    history: list[dict],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    api_key="GEMINI_API_KEY",
-):
-    response = chat.send_message(message)
-
-    # 使用 OpenAI-style 格式的 history
-    user_entry = {"role": "user", "content": message}
-    assistant_entry = {"role": "assistant", "content": response.text}
-    updated_history = history + [user_entry, assistant_entry]
-
-    return response.text, updated_history
+def respond(message,history):
+    response = chat.send_message(f"{system_prompt}:{message}")
+    return response.text
 
 # Gradio Chat Interface
 demo = gr.ChatInterface(
     fn=respond,
-    type="messages",  # ✅ 告訴 Gradio 使用 role/content 格式
-    chatbot=gr.Chatbot(),  # 不用再指定 type，會自動使用 interface 的
-    textbox=gr.Textbox(placeholder="輸入訊息...", container=False, scale=7),
-    title="Gemini 2 Chat (記得上下文)",
-    description="使用 Gemini 2.0 Flash 建立的多輪對話助理。",
-    theme="soft",
-    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)"),
-    ],
+    type="messages",
+    title="Gemini Chatbot",
 )
 
 if __name__ == "__main__":