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  ---
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  title: Image Captioning
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- emoji: ๐Ÿš€
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  colorFrom: pink
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  colorTo: purple
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  sdk: gradio
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- sdk_version: 4.39.0
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  app_file: app.py
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  pinned: false
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  license: afl-3.0
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: Image Captioning
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+ emoji: ๐Ÿ–ผ๏ธ๐Ÿ“
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  colorFrom: pink
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  colorTo: purple
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  sdk: gradio
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+ sdk_version: 4.41.0
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  app_file: app.py
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  pinned: false
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  license: afl-3.0
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  ---
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+ # Image Captioning App
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+ This application provides a simple interface to generate captions for images using a pre-trained model from Hugging Face's Transformers library.
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+ ## Features
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+ - **Image Captioning**: Automatically generate descriptive captions for uploaded images.
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+ - **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface.
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+
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+ ## Model
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+ - **Model Used**: [Salesforce/blip-image-captioning-base](https://huggingface.co/Salesforce/blip-image-captioning-base)
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+ - **Framework**: Hugging Face Transformers
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+
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+ ## Software Packages
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+ - **Gradio**: Used to create the web interface.
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+ - **Transformers**: Used for model inference.
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+ - **Spaces**: Utilized for GPU acceleration during model execution.
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+ ## How to Use
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+ 1. Upload an image using the "Upload image" button.
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+ 2. The app will automatically generate and display a caption for the image.
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+ 3. The generated caption will appear in the textbox labeled "Caption".