Update app.py

app.py

@@ -1,59 +1,3 @@
-# import streamlit as st
-# import langchain
-# from langchain.llms import HuggingFaceHub
-
-# #Function to return the response
-# def load_answer(question):
-#     llm = HuggingFaceHub(repo_id="google/flan-t5-large")
-#     answer=llm(question)
-#     return answer
-
-
-# #App UI starts here
-# st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
-# st.header("LangChain Demo")
-
-# #Gets the user input
-# def get_text():
-#     input_text = st.text_input("You: ", key="input")
-#     return input_text
-
-
-# user_input=get_text()
-# response = load_answer(user_input)
-
-# submit = st.button('Generate')  
-
-# #If generate button is clicked
-# if submit:
-
-#     st.subheader("Answer:")
-
-#     st.write(response)
-
-
-
-# #App UI starts here
-# st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
-# st.header("LangChain Demo")
-
-# #Gets the user input
-# def get_text():
-#     input_text = st.text_input("You: ", key="input")
-#     return input_text
-
-
-# user_input=get_text()
-# response = load_answer(user_input)
-
-# submit = st.button('Generate')  
-
-# #If generate button is clicked
-# if submit:
-
-#     st.subheader("Answer:")
-
-#     st.write(response)
 import streamlit as st
 from langchain.llms import HuggingFaceHub