use chatgpt to modify code

app.py

@@ -4,11 +4,9 @@ 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")
 
-# Removed helper functions and simplified the respond function.
 def respond(
     message,
     history: list[dict],
@@ -18,39 +16,24 @@ def respond(
     top_p,
     api_key="GEMINI_API_KEY",
 ):
-    global chat
-
-    # Send the user message to the chat
+    # 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
 
-    # Retrieve the chat history
-    history = chat.get_history()
-
-    # Format the response and history for display
-    formatted_history = [
-        {"role": msg.role, "content": 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
-"""
-# Update the ChatInterface to use type='messages' and fix the respond function to handle history properly.
 demo = gr.ChatInterface(
-    respond,
-    type="messages",  # Updated to use OpenAI-style 'role' and 'content' keys
+    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)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
 )