A newer version of the Gradio SDK is available:
5.42.0
metadata
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:
- Go to the Space settings
- Add a new secret with key
HF_TOKEN
and your Hugging Face access token as the value - 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