Update app.py

app.py

@@ -1,5 +1,5 @@
 import inspect
-from langchain_huggingface import HuggingFacePipeline
+from langchain_huggingface import HuggingFacePipeline,ChatHuggingFace
 path_hf=inspect.getfile(HuggingFacePipeline)
 from subprocess import Popen, PIPE as P
 from langchain_experimental.tools.python.tool import PythonREPLTool as PYT
@@ -88,6 +88,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 #t=T.from_pretrained("peterpeter8585/syai4.3")
 #pipe=pipeline(model=m,tokenizer=t,task="text-generation")
 llm=HuggingFacePipeline.from_model_id(model_id="peterpeter8585/sungyoonaimodel2",task="text-generation")
+llm=ChatHuggingFace(llm=llm)
 from langchain.retrievers import WikipediaRetriever as Wiki
 import gradio as gr
 chatbot = gr.Chatbot(
@@ -111,14 +112,14 @@ def chat(message,
     max_tokens,
     temperature,
     top_p, chat_session):
-    messages=[SM(content=system_message+"And, Your name is Chatchat")]
+    messages=[]
     for val in history:
         if val[0]:
-            messages.append(HM(content=val[0]))
+            messages.append(val[0])
         if val[1]:
-            messages.append(AM(content=val[1]))
+            messages.append(val[1])
 
-    messages.append(HM(content=message))
+    messages.append(message)
     memory=MEM(memory_key="history")
     agent=Ex(agent=Agent(llm,tools,prompt),tools=tools,verbose=True,handle_parsing_errors=True,memory=memory)
     return agent.invoke({"input":messages,"chat_history":memory.buffer_as_messages})