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| title: Image Captioning | |
| emoji: 🖼️📝 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.41.0 | |
| app_file: app.py | |
| pinned: false | |
| license: afl-3.0 | |
| # Image Captioning App | |
| This application provides a simple interface to generate captions for images using a pre-trained model from Hugging Face's Transformers library. | |
| ## Features | |
| - **Image Captioning**: Automatically generate descriptive captions for uploaded images. | |
| - **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface. | |
| ## Model | |
| - **Model Used**: [Salesforce/blip-image-captioning-base](https://huggingface.co./Salesforce/blip-image-captioning-base) | |
| - **Framework**: Hugging Face Transformers | |
| ## Software Packages | |
| - **Gradio**: Used to create the web interface. | |
| - **Transformers**: Used for model inference. | |
| - **Spaces**: Utilized for GPU acceleration during model execution. | |
| ## How to Use | |
| 1. Upload an image using the "Upload image" button. | |
| 2. The app will automatically generate and display a caption for the image. | |
| 3. The generated caption will appear in the textbox labeled "Caption". |