Derma_AI / README.md
Siraja704
Fix model loading compatibility issues
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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:

  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