使用gemni api

app.py

@@ -8,9 +8,10 @@ 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[tuple[str, str]],
+    history: list[dict],
     system_message,
     max_tokens,
     temperature,
@@ -26,19 +27,21 @@ def respond(
     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]
-    )
+    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
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        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(