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import streamlit as st
from langchain.llms import OpenAI
# Function to return the response
def load_answer(question):
# Initialize the OpenAI API
llm = OpenAI(model_name="gpt-3.5-turbo-instruct", temperature=0.9)
# Generate the response
response = llm(question)
return response
# App UI Starts here
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
st.header("LangChain Demo")
# Get the user input
def get_text():
input_text = st.text_input("Enter your question:", key="input")
return input_text
user_input = get_text()
response = load_answer(user_input)
submit = st.button("Submit")
# If the submit button is clicked
if submit:
# Display the response
st.subheader("Answer = ")
st.write(response)
st.balloons() |