Upload app.py

app.py

@@ -0,0 +1,28 @@
+# Q&A chatbot
+# Run as: streamlit run app.py
+
+from langchain.llms import OpenAI
+import streamlit as st
+
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Function to load OpenAI model and get responses
+def get_openai_response(question):
+    llm = OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"), model="gpt-3.5-turbo-instruct", temperature=0.0)
+    response = llm(question)
+    return response
+
+# initialize 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 a question")
+if submit:
+    st.subheader("Response: ")
+    st.write(response)