Update app.py

app.py

@@ -17,7 +17,7 @@ def respond(message):
         
         # 強化 Prompt 讓模型輸出更合理
         instruction = (
-            "請用簡單、準確的語言回答問題，避免冗長和重複內容。\n"
+            "請用簡單、繁體中文、準確的語言回答問題，避免冗長和重複內容。\n"
             "User: " + message + "\n"
             "Assistant: "
         )
@@ -25,7 +25,7 @@ def respond(message):
         # Generate response with improved settings
         response = pipe(
             instruction,
-            max_length=200,  # 限制最大輸出長度
+            max_length=2048,  # 限制最大輸出長度
             truncation=True,
             num_return_sequences=1,
             temperature=0.3,
@@ -43,27 +43,24 @@ def respond(message):
         inference_time = time.time() - start_time
         print(f"Inference time: {inference_time:.4f} seconds")
 
-        # 返回對話記錄更新結果 (以 tuple 的方式累加歷史訊息)
+        # 返回對話記錄更新結果
         return [(message, reply)]
     
     except Exception as e:
         print(f"Error: {e}")
         return [(message, "Sorry, something went wrong. Please try again.")]
 
-# 定義一個清空文字框的函數
-def clear_textbox():
-    return gr.update(value="")
-
 # Set up Gradio chat interface
 with gr.Blocks() as demo:
     gr.Markdown("# DeepSeek-R1-Distill-Qwen-1.5B-openvino Chat")
     gr.Markdown("Chat with DeepSeek-R1-Distill-Qwen-1.5B-openvino model.")
     
     chatbot = gr.Chatbot()
-    msg = gr.Textbox(label="Your Message")
+    # 設置 clear_on_submit=True，使得訊息送出後立即清空輸入框
+    msg = gr.Textbox(label="Your Message", clear_on_submit=True)
     
-    # submit 完成後，使用 .then() 來清空輸入框
-    msg.submit(respond, inputs=msg, outputs=chatbot).then(clear_textbox, None, msg)
+    # 提交後更新聊天記錄，輸入框會由 clear_on_submit 自動清空
+    msg.submit(respond, inputs=msg, outputs=chatbot)
 
 if __name__ == "__main__":
     demo.launch(share=True)