Upload app.py

app.py

@@ -0,0 +1,30 @@
+from langchain.llms import OpenAI
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+
+import streamlit as st
+
+## function to load openai and get responses
+
+def get_openai_response(quesetion):
+    llm=OpenAI(openai_api_key=os.getenv("OPEN_API_KEY"), model_name="text-davinci-003", temperature=0.5)
+    response = llm(quesetion)
+    return response
+
+## initialize streamlit and set input field and button
+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 the question")
+
+
+## if button is submitted
+if submit:
+    st.subheader("The response is")
+    st.write(response)