metadata

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

🔍 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/