Upload app.py

app.py

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+# app.py 
+# Q&A Chatbot 
+
+# imports 
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+load_dotenv() # load the environment variables from .env 
+import streamlit as st
+import os
+
+################################## Function to load OpenAI model and get responses
+def get_openai_response(question):
+
+    # create llm model
+    llm = OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"),
+                 model_name="gpt-3.5-turbo-instruct", # old deprecated: "text-davinci-003",
+                 temperature=0.5,)
+
+    # get response using the inputted question 
+    response = llm(question) 
+
+    return response
+
+################################## Initialize streamlit app 
+st.set_page_config(page_title="Q&A Demo")
+st.header("Langchain Application")
+
+# create a variable for the input 
+input = st.text_input("Ask a question: ", key="input")
+
+# call OpenAI to get the response 
+response = get_openai_response(input)
+
+# create a submit button 
+submit = st.button("Submit")
+
+# if the button is clicked, submit will be true 
+if submit:
+    #st.subheader("The response is:")
+    st.write(response) # out the response