app.py

import streamlit as st
from openai import OpenAI
import os

# Set up OpenAI client
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

st.title("LeetCode to Real-World Interview Question Generator")

# Load the system prompt from the file
with open("prompt.txt", "r") as file:
    system_prompt = file.read()

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = [{"role": "assistant", "content": system_prompt}]

# Display chat messages from history on app rerun
for message in st.session_state.messages[1:]:  # Skip the system message
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Function to generate response using OpenAI API
def generate_response(prompt):
    response = client.chat.completions.create(
        model="gpt-4o",
        messages=st.session_state.messages + [{"role": "system", "content": prompt}]
    )
    return response.choices[0].message.content

# React to user input
if prompt := st.chat_input("Enter a LeetCode question to transform:"):
    # Display user message in chat message container
    st.chat_message("user").markdown(prompt)
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})

    # Generate response
    response = generate_response(prompt)

    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        st.markdown(response)
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})

st.sidebar.markdown("""
## About
This is a LeetCode to Real-World Interview Question Generator powered by OpenAI's GPT-4.
Enter a LeetCode question to transform it into a real-world interview scenario!
""")