| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned | short_description |
|---|---|---|---|---|---|---|---|---|
StyleSavvy |
🏆 |
gray |
purple |
gradio |
5.29.0 |
app.py |
false |
Style Savvy - AI Style Fashion Consultant |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
StyleSavvy is an AI-powered virtual stylist that analyzes clothing in photos and generates personalized fashion advice based on your body type, face shape, gender, and occasion.
- 📸 Upload outfit photos for style analysis
- 🧠 YOLOS-Fashionpedia for clothing detection
- 🪄 Optional background removal (remove.bg API)
- 💬 Tailored tips using
google/flan-t5-largelanguage model - 🧍♀️ Personalized for body type, face shape, gender, and events
- ⚡ Gradio interface for instant styling suggestions
- Gradio — User interface
- YOLOS — Object detection (Fashionpedia dataset)
- FLAN-T5 — Text generation for fashion tips
- remove.bg API — Optional background removal
- Hugging Face Spaces for hosting
👉 Try it here: StyleSavvy on Hugging Face
git clone https://github.com/Munazzah-Rakhangi/StyleSavvy.git
cd StyleSavvyCreate a virtual environment:
python -m venv venvActivate the environment:
- On Windows:
venv\Scripts\activate
- On macOS/Linux:
source venv/bin/activate
pip install -r requirements.txtCreate a .env file:
REMOVE_BG_API_KEY=your_api_key_hereOr add it as a Hugging Face secret if running on Spaces.
python app.pypython3 test_llm.pyThen open the local Gradio link in your browser.
- Upload an outfit photo that you want to analyze.
- Select styling parameters from the dropdown menus:
- Body Type:
Slim,Athletic,Curvy,Plus-size - Face Shape:
Oval,Round,Square,Heart - Gender:
Male,Female - Occasion: (e.g.,
Wedding,Casual,Business, etc.)
- Body Type:
- Click Generate Style Tips.
- Review the personalized style tips and clothing analysis generated by the app.
“A curvy woman with a round face going to a summer wedding”
→ StyleSavvy suggests breathable floral fabrics, statement earrings, and pastel tones that match the event ambiance.
Feel free to open issues or pull requests!