Update app.py

app.py

@@ -11,10 +11,10 @@ tokenizer = AutoTokenizer.from_pretrained(model_id)
 # 建立生成管道
 pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
-def respond(message, history):
-    # 將當前訊息與歷史訊息合併
-    #input_text = message if not history else history[-1]["content"] + " " + message
+def respond(message):
+    # 直接使用當前訊息作為輸入
     input_text = message
+    
     # 獲取模型的回應
     response = pipe(input_text, max_length=500, truncation=True, num_return_sequences=1)
     reply = response[0]['generated_text']
@@ -22,7 +22,7 @@ def respond(message, history):
     # 返回新的消息格式
     print(reply)
     return reply
-    
+
 # 設定 Gradio 的聊天界面
 demo = gr.ChatInterface(fn=respond, title="Chat with Qwen(通義千問) 2.5-0.5B", description="與 HelloSun/Qwen2.5-0.5B-Instruct-openvino 聊天！", type='messages')