README.md

---
title: Image Captioning
emoji: 🚀
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.34.1
app_file: app.py
pinned: false
license: mit
short_description: 'It is the task of generating a descriptive sentence '
---

# 🧠 Image Captioning with CLIP and GPT-4 (Concept Demo)

This Hugging Face Space is based on the article:  
🔗 [Image Captioning with CLIP and GPT-4 – C# Corner](https://www.c-sharpcorner.com/article/image-captioning-with-clip-and-gpt-4/)

## 🔍 What it does:
- Takes an image as input.
- Uses **CLIP** (Contrastive Language–Image Pretraining) to understand the image.
- Simulates how a **GPT-style model** could use visual features to generate a caption.

> Note: GPT-4 Vision API isn't open-sourced, so this Space shows a conceptual demo using CLIP.

## 📦 Models Used
- `openai/clip-vit-base-patch32` (via Hugging Face Transformers)

## 💡 Future Extensions
- Connect CLIP output to a real LLM like GPT via prompt engineering or fine-tuned decoder.
- Add multiple caption options or refinement steps.

---

Created for educational use by adapting content from the article.  
Check the full article here:  
🔗 [https://www.c-sharpcorner.com/article/image-captioning-with-clip-and-gpt-4/](https://www.c-sharpcorner.com/article/image-captioning-with-clip-and-gpt-4/)