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README.md
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# AI Alt Tag Generator
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**AI-powered alt tag generation for web accessibility** - Making the web accessible for everyone!
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## β¨ Features
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- π **Fast Generation**: 0.5-2 seconds per image
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- π― **5 Alt Tag Styles**: Short, Medium, Long, Accessibility, SEO
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- π **89 Languages**: Multilingual support via Google Translate
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- β‘ **GPU Acceleration**: Automatic CUDA detection and fallback
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- βΏ **WCAG 2.1 AA**: Compliance-focused alt text generation
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## π Quick Start
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### Installation
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```bash
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pip install -r requirements.txt
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```
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### Basic Usage
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```python
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from alt_tag_generator import AltTagGenerator
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# Initialize generator
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generator = AltTagGenerator()
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# Generate alt tags for an image
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results = generator.generate_alt_tags("https://example.com/image.jpg")
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# Display results
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generator.display_results(results)
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```
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### Output Example
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```
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ALT TAG RESULTS
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==================================================
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Source: https://example.com/cat.jpg
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Size: (800, 600)
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Caption: a cat sitting on a table
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Device: cuda
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Time: 1.23s
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Confidence: 0.85
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ALT TAG VARIATIONS:
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------------------------------
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SHORT: cat sitting table
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MEDIUM: cat sitting on table
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LONG: cat sitting on a table
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ACCESSIBILITY: Image shows cat sitting on a table
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SEO: cat sitting table
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==================================================
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```
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## π§ͺ Testing
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Run the built-in demo:
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```python
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from alt_tag_generator import quick_demo
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quick_demo()
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```
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## π Performance
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- **Speed**: 0.5-2 seconds per image
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- **Memory**: ~1GB GPU VRAM (or 2GB RAM for CPU)
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- **Model Size**: ~990MB download
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- **Accuracy**: 85%+ typical confidence
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- **Languages**: 89 supported languages
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## π οΈ System Requirements
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### Minimum Requirements
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- Python 3.8+
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- 4GB RAM
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- 2GB disk space
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### Recommended Requirements
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- Python 3.10+
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- 8GB RAM
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- NVIDIA GPU with 4GB+ VRAM
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- 10GB disk space
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## π License
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This project is licensed under the MIT License.
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## π Acknowledgments
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- **Salesforce BLIP**: For the amazing image captioning model
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- **Hugging Face**: For the transformers library and model hosting
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- **Accessibility Community**: For guidance on WCAG compliance
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---
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**Made with love for web accessibility by [abhilash88](https://huggingface.co/abhilash88)**
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*"Making the web accessible for everyone, one image at a time."*
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