Upload app.py

app.py

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+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os 
+load_dotenv()   # take environment variable from .env
+
+# function to load OpenAI model and response
+
+def get_openai_response(question:str):
+    llm = OpenAI(temperature=0.6,openai_api_key = os.getenv('OPENAI_API_KEY'),model = "gpt-3.5-turbo-instruct")   # initilizing llm model
+    response = llm(question)
+    return response
+
+
+# initize streamlit
+    
+st.set_page_config(page_title="Q&A Demo")
+st.header("My 1st Langchain Application")
+
+input = st.text_input("Input:", key="input")
+response = get_openai_response(input)
+
+submit = st.button("Ask the question")
+
+if submit:
+    st.subheader("response is :")
+    st.write(response)