Update app.py

app.py

@@ -1,4 +1,4 @@
-from langchain_huggingface import HuggingFacePipeline as HF
+from langchain_huggingface import HuggingFaceEndpoint as HF
 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
@@ -62,11 +62,11 @@ prompt = ChatPromptTemplate.from_messages(
         ("human", human),
     ]
 )
-from transformers import pipeline,AutoModelForCausalLM as M,AutoTokenizer as T
-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(pipeline=pipe)
+#from transformers import pipeline,AutoModelForCausalLM as M,AutoTokenizer as T
+#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(repo_id="peterpeter8585/syai4.3")
 from langchain.retrievers import WikipediaRetriever as Wiki
 import gradio as gr
 chatbot = gr.Chatbot(