https://github.com/mayashavin/product-info-ai-generator

This AI tool leverages different LLM services to generate product information from a given image. Simply upload an image of a product and the model will generate a title, description, and tags for the product. You can also customize the generated information by providing a custom prompt, target language, and target tone.
https://github.com/mayashavin/product-info-ai-generator

aiapps flask-api gpt-4 gpt-4o langchain langchain-python llms openai python3 vue3 vue3-typescript vuejs

Last synced: about 1 month ago
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This AI tool leverages different LLM services to generate product information from a given image. Simply upload an image of a product and the model will generate a title, description, and tags for the product. You can also customize the generated information by providing a custom prompt, target language, and target tone.

• Host: GitHub
• URL: https://github.com/mayashavin/product-info-ai-generator
• Owner: mayashavin
• License: mit
• Created: 2024-06-18T21:48:14.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-06-25T13:23:31.000Z (12 months ago)
• Last Synced: 2025-04-23T21:54:53.524Z (about 1 month ago)
• Topics: aiapps, flask-api, gpt-4, gpt-4o, langchain, langchain-python, llms, openai, python3, vue3, vue3-typescript, vuejs
• Language: Vue
• Homepage:
• Size: 83 KB
• Stars: 10
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ImgToProduct - Product Information Generator

This AI tool leverages different LLM services to generate product information from a given image. Simply upload an image of a product and the model will generate a title, description, and tags for the product. You can also customize the generated information by providing a custom prompt, target language, and target tone.



The first version allows user to generate and copy the product information in JSON format. Future versions will include more customization options, additional output formats and other E-commerce direct integrations.

## Technologies used

- Front-end: Vue, Tailwind CSS

- Back-end: Python, Flask, Langchain, OpenAI API