| title: Derma AI | |
| emoji: 😻 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.39.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Derma AI skin Disease model | |
| # DermaAI - Skin Disease Classification | |
| AI-powered skin condition analysis using deep learning with EfficientNetV2 architecture. | |
| ## Features | |
| - **Modern Keras 3.0 with TensorFlow Backend**: Uses Keras 3.0 with TensorFlow for reliable model compatibility | |
| - **HuggingFace Hub Integration**: Downloads and loads models from HuggingFace Hub | |
| - **5 Skin Conditions**: Classifies Atopic Dermatitis, Eczema, Psoriasis, Seborrheic Keratoses, and Tinea Ringworm Candidiasis | |
| - **Medical Disclaimers**: Includes proper medical disclaimers and advice | |
| ## Technical Stack | |
| - **Backend**: TensorFlow (via Keras 3.0) | |
| - **Frontend**: Gradio 5.0+ | |
| - **Model Architecture**: EfficientNetV2 | |
| - **Model Source**: `Siraja704/DermaAI` via HuggingFace Hub | |
| ## Setup | |
| This application uses Keras 3.0 with TensorFlow backend for reliable model compatibility. The model is downloaded from HuggingFace Hub using the `huggingface_hub` library. | |
| If the model repository is private, you may need to: | |
| 1. Go to the Space settings | |
| 2. Add a new secret with key `HF_TOKEN` and your Hugging Face access token as the value | |
| 3. Make sure your token has access to the `Siraja704/DermaAI` model repository | |
| ## Supported Conditions | |
| - Atopic Dermatitis | |
| - Eczema | |
| - Psoriasis | |
| - Seborrheic Keratoses | |
| - Tinea Ringworm Candidiasis | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |