Create app.py

app.py

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+import streamlit as st
+import os
+#from langchain.llms import openai
+from langchain.llms import OpenAI
+
+
+from dotenv import load_dotenv
+
+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("OPEN_API_KEY"),model_name="gpt-3.5-turbo-instruct",temperature=0.5)
+    response=llm(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 as button is clicked
+
+if submit:
+    st.subheader("The Response is")
+    st.write(response)