Create app.py

app.py

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+# create a simple chatbot using streamlit
+
+#from langchain.llms import OpenAI
+from langchain_openai import OpenAI
+from dotenv import load_dotenv
+
+load_dotenv()
+
+import os
+import streamlit as st
+
+## create a function to load OpenAI model and get response
+
+def get_openai_response(question):
+
+    llm = OpenAI(openai_api_key = os.getenv('OPEN_API_KEY'),model_name = 'gpt-3.5-turbo-instruct',
+    temperature = 0.5)
+    response = llm.invoke(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_response(input)
+
+submit = st.button('Ask the question')
+
+## if ask button is clicked
+if submit:
+    st.subheader('the response is')
+    st.write(response)