app.py

# Q&A Chatbot

import openai
from dotenv import load_dotenv
import streamlit as st
import os

# Load the enviroment variables from .env file
load_dotenv()

# Set the API key from environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")

# Function to load OpenAI model to get response

def get_openai_response(prompt):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",  # You can change this to gpt-4 if you prefer
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": prompt}
        ]
    )
    # Return the assistant's reply
    return response['choices'][0]['message']['content']

# Initialize streamlit page
st.set_page_config(page_title="Q&A Chatbot")

st.header("Langchain Application")

input= st.text_input("Enter your prompt:")
submit=st.button("Submit")

# If button is clicked, get and display the response

if submit:
    response = get_openai_response(input)
    st.subheader("Response")
    st.write(response)