Update app.py

app.py

@@ -3,7 +3,6 @@ import gradio as gr
 import aiohttp
 import asyncio
 import json
-from functools import lru_cache
 from datasets import Dataset, DatasetDict, load_dataset
 from huggingface_hub import HfFolder
 
@@ -42,7 +41,6 @@ except:
         })
     })
 
-@lru_cache(maxsize=32)
 async def send_chat_message(LLM_URL, LLM_API, user_input):
     payload = {
         "inputs": {},
@@ -170,7 +168,6 @@ with gr.Blocks() as iface:
     gr.Examples(examples=examples, inputs=user_input)
         
     with gr.Row():
-        # like_button = gr.Button(" 👍 覺得答案很棒，請按我；或者直接繼續問新問題亦可")
         dislike_button = gr.Button(" 👎 覺得答案待改善，請輸入改進建議，再按我送出保存")
         improvement_input = gr.Textbox(label='請輸入改進建議', placeholder='請輸入如何改進模型回應的建議')
 
@@ -187,12 +184,6 @@ with gr.Blocks() as iface:
 
     submit_button.click(fn=chat, inputs=[user_input, chatbot], outputs=[chatbot, chatbot])
 
-    # like_button.click(
-    #     fn=lambda response, improvement: handle_feedback(response, "like", improvement),
-    #     inputs=[chatbot, improvement_input],
-    #     outputs=feedback_output
-    # )
-
     dislike_button.click(
         fn=lambda response, improvement: handle_feedback(response, "dislike", improvement),
         inputs=[chatbot, improvement_input],
@@ -201,4 +192,4 @@ with gr.Blocks() as iface:
 
     show_feedback_button.click(fn=show_feedback, outputs=feedback_display)
 
-iface.launch()
+iface.launch()