Upload app.py

app.py

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+# Q&A chatbot
+
+from langchain.llms import openai, OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+# take environment variables from .env
+load_dotenv()
+
+# 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=0.6)
+    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 the question")
+
+# If ask button is clicked
+if submit:
+    st.subheader("The response is: ")
+    st.write(response)
+