Upload app.py

app.py

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+# Q&A Chatbot
+from langchain_openai import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+load_dotenv()       # take environment variables from .env.
+
+## Function to load OpenAI model and get responses
+
+def get_openai_response(question):
+    llm = OpenAI(openai_api_key=os.getenv('OPENAI_API_KEY'),model_name='gpt-3.5-turbo-instruct',
+                 temperature=0.6)
+    response = llm.invoke(question)
+    
+    return response
+
+## Initialize our streamlit app
+
+st.set_page_config(page_title="Q&A Demo") 
+st.header("Langchain Application") 
+
+input = st.text_input("Input: ", key='input')
+response = get_openai_response(input)
+
+submit = st.button('Ask the question')
+
+## If ask button is clicked
+
+if submit:
+    st.subheader("The Response is")
+    st.write(response)
+    
+
+