---
title: Email Classification For Support Team
emoji: ⚡
colorFrom: green
colorTo: yellow
sdk: docker
pinned: false
license: mit
---
# Email Classification API for Support Teams

## Introduction
This API classifies support emails into four categories (Incident, Request, Problem, Change) using a fine-tuned DeBERTa model. The service automatically masks personally identifiable information (PII) before processing, ensuring privacy compliance.

## Hardware Requirements
- **For Development/Testing:**
  - CPU: 2+ cores
  - RAM: 4GB minimum (8GB recommended)
  - Storage: 1GB free space

- **For Production Deployment:**
  - CPU: 4+ cores
  - RAM: 8GB minimum (16GB recommended for higher throughput)
  - GPU: Optional but beneficial for faster inference

## Software Requirements
- Python 3.8+
- Flask
- PyTorch
- Transformers library
- PII masking utilities
- Internet connection for initial model download

## How to Run

### Local Development
```bash
# Clone repository
git clone <repository-url>
cd email-classification-api

# Install dependencies
pip install -r requirements.txt

# Run the application
python app.py
```

### Hugging Face Spaces Deployment
1. The API is already deployed at: https://huggingface.co/spaces/Nikpatil/Email_Classification_For_Support_Team
2. No additional setup required to use the deployed version

## How to Access

### Using the API Endpoint
Send POST requests to: `https://nikpatil-email-classification-for-support-team.hf.space/classify`