Transforming Images into Text with Python

Author(s): Roman Orac

Originally published on Towards AI.

Bringing Pictures to Life: A Step-by-Step Guide to Text Generation from Images Using Python.
(created by DALL-E 3).

If you’re closely following the field of AI, you already know that there’s a major new development every week. One such transformative event happened at the beginning of October 2023 with the release of an improved large multimodal model that can generate text summaries from images. With this groundbreaking advancement, one image can literally become 1000 words.

I’m not talking about GPT-4 Vision — which is currently the state-of-the-art model for this kind of task. Instead, I’m focusing on a model that we can run locally on a laptop — in other words — it’s private and free to use.

The model is licensed under the Llama 2 Community License Agreement, meaning you can freely use, modify, and distribute the model. Imagine the fine-tuning possibilities!

In this article, you’ll learn how to build a minimalistic web application that takes an image and explains what it sees on it as shown in the video.

In the end, I also share a GitHub link to make it easier to follow the coding examples.

Image to Speech application (video by author)

We start by installing the interference engine to run the model and download the model weights.

A note from the future

Huggingface recently added the LLaVa… Read the full blog for free on Medium.

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Published via Towards AI