app.py

#Hello! It seems like you want to import the Streamlit library in Python. Streamlit is a powerful open-source framework used for building web applications with interactive data visualizations and machine learning models. To import Streamlit, you'll need to ensure that you have it installed in your Python environment.
#Once you have Streamlit installed, you can import it into your Python script using the import statement,

# import streamlit as st


# from langchain.llms import OpenAI
# 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)

import streamlit as st
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

def main():
    st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
    st.header("LangChain Demo")

    user_input = st.text_input("You:", key="input")
    submit = st.button('Generate')

    if submit and user_input:  # Generate response when button is clicked and input is provided
        response = load_answer(user_input)
        st.subheader("Answer:")
        st.write(response)

if __name__ == "__main__":
    main()