app.py

app.py

@@ -0,0 +1,22 @@
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import streamlit as st
+import os
+
+load_dotenv()
+
+def get_llm_response(question):
+    llm = OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"), model_name="gpt-3.5-turbo-instruct", temperature=0.5)
+    response = llm(question)
+    return response
+
+st.set_page_config(page_title="Q&A Demo", page_icon="🔗", layout="wide")
+st.header("LangChain Application")
+
+input = st.text_input("INPUT: ", key="input")
+submit_button = st.button("Ask a question")
+
+response = get_llm_response(input)
+if submit_button:
+    st.subheader("The response is")
+    st.write(response)