---
title: DogLover
emoji: 📉
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.38.0
app_file: app.py
pinned: false
short_description: A dog loving space
---

# 🐶 Dog Breed Classifier (Gradio + Hugging Face)

This web app uses a powerful transformer-based model from Hugging Face to classify dog breeds from uploaded images.

## 🔍 Model
- **Name:** prithivMLmods/Dog-Breed-120
- **Base architecture:** SigLIP (Vision Transformer)
- **Classes:** 120 dog breeds

## 🚀 Features
- Built with **Gradio** for easy web interaction
- Powered by **Transformers + PyTorch**
- Can run on **Hugging Face Spaces** with no backend setup

## 📁 File Structure
```
dog-breed-app/
├── app.py             # Main app file
├── requirements.txt   # Python dependencies
└── README.md          # This file
```

## 🧪 Local Setup
```bash
# Create and activate environment (optional)
conda create -n dog-breed python=3.10 -y
conda activate dog-breed

# Install dependencies
pip install -r requirements.txt

# Run the app
python app.py
```

## 🌐 Deploy to Hugging Face Spaces
1. Go to [https://huggingface.co/spaces](https://huggingface.co/spaces)
2. Create a new Space (select **Gradio** as SDK)
3. Upload `app.py` and `requirements.txt`
4. Your app will be live at: `https://huggingface.co/spaces/your-username/your-app`

## ✨ Example Use
Upload a photo like this:
![example](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/spaces/dog-example.jpg)

And get a result like:
```
golden_retriever (98.4%)
```

Enjoy building! 🐾