Update app.py

app.py

@@ -1,10 +1,9 @@
-from langchain_huggingface import HuggingFacePipeline as HF, ChatHuggingFace as Ch
 from subprocess import Popen, PIPE as P
 from langchain_experimental.tools.python.tool import PythonREPLTool as PYT
 from langchain.agents import load_tools, create_structured_chat_agent as Agent,AgentExecutor as Ex, AgentType as Type
 from langchain.agents.agent_toolkits import create_retriever_tool as crt
 from langchain_community.agent_toolkits import FileManagementToolkit as FMT
-from langchain.tools import Tool
+from langchain.tools import Tool,YouTubeSearchTool as YTS
 from langchain.memory import ConversationBufferMemory as MEM,RedisChatMessageHistory as HIS
 from langchain.schema import SystemMessage as SM,HumanMessage as HM, AIMessage as AM
 from langchain import hub
@@ -484,7 +483,7 @@ import torch
 #m=M.from_pretrained("peterpeter8585/syai4.3")
 #t=T.from_pretrained("peterpeter8585/syai4.3")
 #pipe=pipeline(model=m,tokenizer=t,task="text-generation")
-#llm=HF.from_model_id(model_id="peterpeter8585/syai4.6",task="text-generation")
+llm=HuggingFacePipeline.from_model_id(model_id="peterpeter8585/deepseek_1",task="text-generation")
 from langchain.retrievers import WikipediaRetriever as Wiki
 import gradio as gr
 chatbot = gr.Chatbot(
@@ -497,6 +496,7 @@ def terminal(c):
     return a.stdout.read()+a.stderr.read()
 tools=FMT().get_tools()
 tools.append(PYT())
+tools.append(YTS())
 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"))