app.py

import streamlit as st
import openai
import requests
from PIL import Image
from io import BytesIO

# Set up the OpenAI API key from Hugging Face Spaces secrets
openai.api_key = st.secrets["OPENAI_API_KEY"]

st.title("Short-Form Video Backdrop and Image Generator")

# User inputs for image generation
st.subheader("Define Your Business")
business_type = st.text_input("Your Business Type", placeholder="e.g., Cafe, Florist, Yoga Studio")

st.subheader("Video Backdrop Details")
video_theme = st.text_input("Video Theme", placeholder="Enter a theme for your TikTok video (e.g., cozy cafe, floral arrangement, yoga session)")
color_scheme = st.text_input("Color Scheme", placeholder="Preferred color scheme (e.g., pastel, vibrant, earth tones)")
additional_elements = st.text_input("Additional Elements", placeholder="Any specific elements to include in the backdrop (e.g., coffee cups, flowers, yoga mats)")

if st.button('Generate Image'):
    # Construct the prompt
    prompt = f"Create a vertical image that could be used in the background of a video on TikTok or Reels for a {business_type}. Theme: '{video_theme}', color scheme: '{color_scheme}', including elements: '{additional_elements}'."

    # Call the DALL-E API
    try:
        response = openai.Image.create(
            model="dall-e-3",  # Specify DALL-E 3 model
            prompt=prompt,
            n=1,
            size="1024x1792",  # Set image dimensions to vertical
            quality="standard"  # Set image quality to standard for lower cost
        )

        # Assuming the response contains a URL to the image
        image_url = response['data'][0]['url']
        
        # Fetch the image from the URL
        image_response = requests.get(image_url)
        image = Image.open(BytesIO(image_response.content))

        # Display the image
        st.image(image, caption='Generated Business Video Backdrop Image')

    except Exception as e:
        st.error(f"An error occurred: {e}")