update

app.py

@@ -1,7 +1,4 @@
 from langchain import HuggingFaceHub, PromptTemplate, LLMChain
-from langchain.memory import ConversationBufferMemory
-from langchain.agents import AgentType, initialize_agent
-from langchain.chains import AgentChain
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 import gradio as gr
 from getpass import getpass
@@ -17,17 +14,12 @@ Answer: Let's think step by step."""
 
 prompt = PromptTemplate(template=template, input_variables=["history"])
 
-# Create a memory module with a maximum capacity of 1000 items
-memory = ConversationBufferMemory(max_capacity=1000)
 # Callbacks support token-wise streaming
 callbacks = [StreamingStdOutCallbackHandler()]
 # Instantiate the Hugging Face model
 repo_id = "google/flan-t5-xl"  # Replace with the desired model
 llm = HuggingFaceHub(repo_id=repo_id, model_kwargs={"temperature": 0, "max_length": 64})
 
-# Define the tools
-tools = []
-
 # Initialize the  chain
 llm_chain = LLMChain(prompt=prompt, llm=llm)