Demo

This repository demonstrates how to use OpenAI's Response API (with GPT-4o, and gpt-image-1 via Azure OpenAI or OpenAI) to:

• Generate images from a text prompt
• Generate images from an existing image and a prompt (image-to-image)
• Extract the main product image URL from an e-commerce product page

It provides both Python and TypeScript implementations, returning structured outputs for easy integration.

• Generate images from a prompt using GPT-4o, or gpt-image-1
• Generate images from an image and a prompt (image-to-image)
• Extracts the main product image URL from a given e-commerce product page
• Uses OpenAI tool-calling to orchestrate the extraction and generation process
• Returns a structured response with the image URL, source URL, and extraction/generation method
• Supports both Python and TypeScript (Node.js) environments

• For generation: The script sends a prompt (and optionally an image) to the OpenAI/Azure OpenAI API to generate a new image.
• The result is returned in a structured format, including the extraction or generation method used.

flowchart TD
 A[User provides product URL or prompt (+ optional image)] --> B(OpenAI Response API: tool calling)
 B --> C{Tool: extract_image_url or generate_image}
 C --> D[Fetch product page HTML or send prompt/image to API]
 D --> E{Extraction or Generation strategies}
 E -->|og:image| F[Extract from Open Graph meta tag]
 E -->|product__media| G[Extract from product__media class]
 E -->|first_img| H[Extract first <img> tag]
 E -->|prompt| L[Generate from prompt]
 E -->|image+prompt| M[Generate from image and prompt]
 F & G & H & L & M --> I[Return structured output]
 I --> J[OpenAI returns structured JSON]
 J --> K[User receives image_url, source_url, found_method]

{
 "image_url": "http://minecraftshop.com/cdn/shop/files/MINE-PLU1_R_MF_1200x1200.jpg?v=1729532536",
 "source_url": "https://minecraftshop.com/collections/plush/products/minecraft-goat-8-plush",
 "found_method": "og:image"
}

• Python 3.8+ (for Python version)
• Node.js 18+ (for TypeScript version)
• Access to Azure OpenAI or OpenAI API (with appropriate keys and endpoint)

git clone <repo-url>
cd get-item-image

Copy .env.sample to .env and fill in your API keys and endpoints:

cp .env.sample .env

Edit .env and set:

• AZURE_OPENAI_V1_API_ENDPOINT
• AZURE_OPENAI_API_KEY
• AZURE_OPENAI_API_MODEL

pip install -r requirements.txt
# or manually:
pip install openai python-dotenv beautifulsoup4 requests

npm install

python get_item_image.py "https://minecraftshop.com/collections/plush/products/minecraft-goat-8-plush"
# or for image generation:
python get_item_image.py --generate --prompt "A cat in a spacesuit"
python get_item_image.py --generate --prompt "A cat in a spacesuit" --image path/to/input.jpg

npx ts-node get_item_image.ts "https://minecraftshop.com/collections/plush/products/minecraft-goat-8-plush"
# or for image generation:
npx ts-node get_item_image.ts --generate --prompt "A cat in a spacesuit"
npx ts-node get_item_image.ts --generate --prompt "A cat in a spacesuit" --image path/to/input.jpg

• get_item_image.py — Python implementation
• get_item_image.ts — TypeScript/Node.js implementation
• .env.sample — Example environment variable file
• demo.gif — Demo animation

MIT