app.py

import streamlit as st
import openai
import os

# Set up OpenAI API key
openai.api_key = os.getenv("OPENAI_API_KEY")

st.title("Coding Interview Bot")

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

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

# Function to generate response using OpenAI API
def generate_response(prompt):
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a coding interview bot. Your task is to ask coding interview questions, evaluate responses, and provide feedback."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=1000,
        temperature=0.7,
    )
    return response.choices[0].message['content']

# React to user input
if prompt := st.chat_input("What's your coding question?"):
    # 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 coding interview bot powered by OpenAI's GPT-3.5-turbo.
Ask coding questions and get responses to help you prepare for interviews!
""")