separate summary and hf readme

README.md

@@ -1,88 +1,11 @@
-# Qwen Multi-label Text Classifier
-
-## Overview
-A multi-label text classifier based on Qwen-1.5B, fine-tuned for coding exercise classification. Supports:
-- Local CPU/GPU inference
-- Hugging Face API deployment
-- Batch evaluation
-- REST API via FastAPI
-- Docker deployment
-
-## Features
-- **9 Label Classification**: Predicts multiple tags per text
-- **CLI Interface**: Run predictions/evaluations from terminal
-- **Dual Backend**: Choose between local or HF inference
-- **GPU Optimized**: CUDA support via Docker
-
-## Installation
-```bash
-git clone https://github.com/your-username/qwen-classifier
-cd qwen-classifier
-python3 -m venv .venv
-source .venv/bin/activate
-pip install -e .
-```
-
-## Usage
-
-### CLI Prediction
-```bash
-# Local inference
-qwen-clf predict "Your coding exercise text" --backend local
-
-# HF Space inference 
-qwen-clf predict "Your text" --backend hf --hf-token YOUR_TOKEN
-```
-
-### Batch Evaluation
-```bash
-qwen-clf evaluate dataset.zip --backend local
-```
-
-### API Server
-```bash
-uvicorn app:app --host 0.0.0.0 --port 7860
-```
-
-#### API Endpoints
-| Endpoint | Method | Description |
-|----------|--------|-------------|
-| `/` | GET | Documentation |
-| `/predict` | POST | Single text prediction |
-| `/evaluate` | POST | Batch evaluation (ZIP) |
-| `/health` | GET | Service status |
-
-## Docker Deployment
-```bash
-# Build with GPU support
-docker build -t qwen-classifier .
-
-# Run container
-docker run -p 7860:7860 --gpus all qwen-classifier
-```
-
-## Project Structure
-```
-.
-├── app.py               # FastAPI entry point
-├── Dockerfile           # GPU-optimized container setup
-├── qwen_classifier/     # Core package
-│   ├── cli.py          # Command line interface
-│   ├── model.py        # Qwen classifier implementation  
-│   ├── predict.py      # Inference logic
-│   └── evaluate.py     # Batch evaluation
-└── requirements.txt    # Python dependencies
-```
-
-## Configuration
-Edit `qwen_classifier/config.py` to set:
-- `TAG_NAMES`: List of 9 classification tags
-- `HF_REPO`: Default Hugging Face model repo
-- `DEVICE`: Auto-detected CUDA/CPU
-
-## Hugging Face Space
-Live demo:  
-[![HF Space](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-blue)](https://huggingface.co/spaces/KeivanR/qwen-classifier-demo)
-
-## License
-Apache 2.0 © Keivan Razban
+---
+title: Qwen Classifier Demo
+emoji: 🏢
+colorFrom: green
+colorTo: gray
+sdk: docker
+pinned: false
+short_description: Fine tuned Qwen to classify coding exercizes
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

SUMMARY.md

@@ -0,0 +1,88 @@
+# Qwen Multi-label Text Classifier
+
+## Overview
+A multi-label text classifier based on Qwen-1.5B, fine-tuned for coding exercise classification. Supports:
+- Local CPU/GPU inference
+- Hugging Face API deployment
+- Batch evaluation
+- REST API via FastAPI
+- Docker deployment
+
+## Features
+- **9 Label Classification**: Predicts multiple tags per text
+- **CLI Interface**: Run predictions/evaluations from terminal
+- **Dual Backend**: Choose between local or HF inference
+- **GPU Optimized**: CUDA support via Docker
+
+## Installation
+```bash
+git clone https://github.com/your-username/qwen-classifier
+cd qwen-classifier
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -e .
+```
+
+## Usage
+
+### CLI Prediction
+```bash
+# Local inference
+qwen-clf predict "Your coding exercise text" --backend local
+
+# HF Space inference 
+qwen-clf predict "Your text" --backend hf --hf-token YOUR_TOKEN
+```
+
+### Batch Evaluation
+```bash
+qwen-clf evaluate dataset.zip --backend local
+```
+
+### API Server
+```bash
+uvicorn app:app --host 0.0.0.0 --port 7860
+```
+
+#### API Endpoints
+| Endpoint | Method | Description |
+|----------|--------|-------------|
+| `/` | GET | Documentation |
+| `/predict` | POST | Single text prediction |
+| `/evaluate` | POST | Batch evaluation (ZIP) |
+| `/health` | GET | Service status |
+
+## Docker Deployment
+```bash
+# Build with GPU support
+docker build -t qwen-classifier .
+
+# Run container
+docker run -p 7860:7860 --gpus all qwen-classifier
+```
+
+## Project Structure
+```
+.
+├── app.py               # FastAPI entry point
+├── Dockerfile           # GPU-optimized container setup
+├── qwen_classifier/     # Core package
+│   ├── cli.py          # Command line interface
+│   ├── model.py        # Qwen classifier implementation  
+│   ├── predict.py      # Inference logic
+│   └── evaluate.py     # Batch evaluation
+└── requirements.txt    # Python dependencies
+```
+
+## Configuration
+Edit `qwen_classifier/config.py` to set:
+- `TAG_NAMES`: List of 9 classification tags
+- `HF_REPO`: Default Hugging Face model repo
+- `DEVICE`: Auto-detected CUDA/CPU
+
+## Hugging Face Space
+Live demo:  
+[![HF Space](https://img.shields.io/badge/🤗%20Hugging%20Face-Space-blue)](https://huggingface.co/spaces/KeivanR/qwen-classifier-demo)
+
+## License
+Apache 2.0 © Keivan Razban