Create app.py

app.py

@@ -0,0 +1,23 @@
+from langchain_openai import  OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+load_dotenv()
+
+def get_openai_response(question):
+    llm = OpenAI(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-3.5-turbo-instruct", temperature=0.5)
+    response = llm.invoke([{"role": "user", "content": question}])
+    return response
+
+st.set_page_config(page_title="Q&A Demo")
+st.header("Langchain Application")
+
+input_text = st.text_input("Input: ", key="input")
+submit = st.button("Ask the question")
+
+if submit:
+    response = get_openai_response(input_text)
+    # print(response)
+    st.subheader("The response is:")
+    st.write(response)