Update app.py

app.py

@@ -12,6 +12,7 @@ from langchain.schema import SystemMessage as SM,HumanMessage as HM, AIMessage a
 from langchain import hub
 import os
 import torch
+from langchain import hub
 torch.set_flush_denormal(True)
 import importlib.util
 import logging
@@ -73,6 +74,7 @@ prompt = ChatPromptTemplate.from_messages(
         ("human", human),
     ]
 )
+prompt=hub.pull("hwchase17/structured-chat-agent")
 from typing import Any, Dict, List, Optional
 from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
@@ -106,6 +108,7 @@ tools.extend(load_tools(["requests_all"],allow_dangerous_tools=True))
 tools.extend(load_tools(["llm-math","ddg-search"],llm=llm))
 tools.append(Tool.from_function(func=terminal,name="terminal",description="터미널 명령어실행에 적합함"))
 tools.append(crt(name="wiki",description="위키 백과를 검색하여 정보를 가져온다",retriever=Wiki(lang="ko",top_k_results=1)))
+agent=Ex(agent=Agent(llm,tools,prompt),tools=tools,verbose=True,handle_parsing_errors=True)
 def chat(message,
     history: list[tuple[str, str]],
     system_message,
@@ -120,9 +123,7 @@ def chat(message,
             messages.append(val[1])
 
     messages.append(message)
-    memory=MEM(memory_key="history")
-    agent=Ex(agent=Agent(llm,tools),tools=tools,verbose=True,handle_parsing_errors=True,memory=memory)
-    return agent.invoke({"input":messages,"chat_history":memory.buffer_as_messages})
+    return agent.invoke({"input":messages)
 ai1=gr.ChatInterface(
     chat,
     chatbot=chatbot,