Upload app.py

app.py

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+# Q&A Chatbot
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+load_dotenv() # take environment variables form .env
+
+
+# Function to load OpenaI Model and get response
+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)
+    reponse=llm(question)
+    return reponse
+    
+### Initialize our streamlit app
+
+st.set_page_config(page_title="Q&A Demo")
+
+st.header("Langchain Application")
+
+input=st.text_input("Input: ",key=input)
+reponse=get_openai_response(input)
+
+
+submit=st.button("As the question")
+
+## IF ask button is clicked
+
+if submit:
+    st.subheader("The Reponse is")
+    st.write(reponse)