| --- |
| title: Street Descriptions using MuniVis |
| emoji: 🛣️ |
| colorFrom: indigo |
| colorTo: blue |
| sdk: gradio |
| sdk_version: 5.26.0 |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # 🛣️ Street Descriptions using MuniVis Model |
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| This Space provides a simple Gradio interface for generating image captions using a fine-tuned BLIP model hosted at [`saja003/MuniVis`](https://huggingface.co/saja003/MuniVis). It also includes the option to translate the generated English captions into Arabic using a MarianMT translation model. |
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| ## 🔍 Features |
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| - 🧠 Image captioning with a fine-tuned BLIP model. |
| - 🌐 Language selection: English or Arabic. |
| - 📸 Upload any street or urban image to generate a descriptive caption. |
| - 🤖 Translation powered by [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar). |
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| ## 🚀 How it works |
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| 1. Upload an image. |
| 2. Select a language (English or Arabic). |
| 3. Receive a descriptive caption of the scene. |
| - If Arabic is selected, the caption is translated automatically. |
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| --- |
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| ## 🧠 Models Used |
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| - **BLIP (Bootstrapping Language Image Pretraining):** |
| - Fine-tuned on street and infrastructure images. |
| - Model repo: [`saja003/MuniVis`](https://huggingface.co/saja003/MuniVis) |
| - **MarianMT Translation Model:** |
| - [`Helsinki-NLP/opus-mt-en-ar`](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) for English to Arabic translation. |
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| --- |
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| ## 🛠️ Requirements |
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| This Space uses the following libraries: |
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| ```bash |
| transformers |
| torch |
| gradio |
| Pillow |
