Upload app.py

app.py

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+# Q&A Chatbot
+from langchain_community.llms.openai import OpenAI
+from dotenv import load_dotenv
+import os
+import streamlit as st
+
+# Load environment variables from .env.
+load_dotenv()
+
+# Function to load OpenAI models and get responses
+def get_openai_response(question):
+    # Instantiate the OpenAI class with necessary parameters
+    llm = OpenAI(openai_api_key=os.getenv("OPENAI_API_KEY"), model_name="gpt-3.5-turbo-instruct", temperature=0.5)
+    # Use the invoke method to get the response
+    response = llm.invoke(question)
+    return response
+
+# Initialize our Streamlit app
+st.set_page_config(page_title='Q&A Demo')
+st.header("Langchain Application")
+
+# Streamlit input field
+input_question = st.text_input("Input: ", key="input")
+
+# Streamlit button to submit the question
+submit = st.button("Ask the question")
+
+# If the "Ask the question" button is clicked
+if submit and input_question:
+    # Get the response from OpenAI
+    response = get_openai_response(input_question)
+    # Display the response
+    st.subheader("The Response is")
+    st.write(response)