app.py

import os
from openai import OpenAI
import streamlit as st
from tenacity import retry, wait_fixed, stop_after_attempt

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

# Define the initial system message
initial_messages = [{
    "role": "system", 
    "content": """Please act as a marketing expert for real estate agents. Your role is
to generate topic summary ideas for social media videos. Follow these steps in this order:
1. Before you execute any steps, consider the last input from the user as a suggestion for the types of topics you should create if
they submit one. If they don't submit a topic idea then assume they would like ideas for marketing videos for a real estate agent.
2. Generate 100 total ideas for videos a real estate agent should make. Some should be ideas 
for simple marketing videos, creative social media content, educational videos, and a few that are outside the box.
Reply with the 10 overall best ideas. Include a short, up to 2 sentence long description of each idea. Do not return all 100 ideas."""
}]

@retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
def call_openai_api(messages):
    """
    Call OpenAI's ChatCompletion API with retries for transient errors.
    """
    try:
        response = client.chat.completions.create(
            model="gpt-4",
            messages=messages,
            max_tokens=1000
        )
        return response
    except Exception as e:
        st.error(f"OpenAI API Error: {str(e)}")
        raise

def CustomChatGPT(user_input, messages):
    """
    Customize ChatGPT's interaction based on user input and previous messages.
    """
    if user_input.strip():
        messages.append({"role": "user", "content": user_input})
    else:
        messages.append({"role": "user", "content": "Please generate general video ideas for a real estate agent."})
    
    response = call_openai_api(messages)
    ChatGPT_reply = response.choices[0].message.content
    messages.append({"role": "assistant", "content": ChatGPT_reply})
    return ChatGPT_reply, messages

# Streamlit app setup
st.title("Video Idea Generator for Real Estate Agents")
st.subheader("Generate tailored video content ideas for your real estate marketing!")

# User input
user_input = st.text_input("Enter a topic suggestion (optional)", placeholder="E.g., tips for first-time homebuyers")

# Button to trigger generation
if st.button("Generate Video Ideas"):
    messages = initial_messages.copy()
    try:
        with st.spinner("Generating video ideas..."):
            reply, messages = CustomChatGPT(user_input, messages)
        st.markdown("### Suggested Video Ideas")
        st.write(reply)
    except Exception as e:
        st.error(f"An error occurred: {e}")