Upload app.py

app.py

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+from langchain.llms import OpenAI
+
+from dotenv import load_dotenv
+
+load_dotenv() # take environment variables from .env
+
+import streamlit as st
+import os
+
+## Function to load OpenAI model and get response
+def get_openai_reponse(question):
+  llm = OpenAI(openai_api_key = os.getenv("OPEN_API_KEY"), model_name="text-davinci-003", 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_reponse(input)
+
+submit = st.button("Ask a question")
+
+# If ask button is clicked
+if submit:
+  st.subheader("The Response is")
+  st.write(response)
+
+
+