Phishing API Deployment (ONNX Optimized)

This deployment uses an ultra-lightweight ONNX runtime instead of PyTorch, resulting in a much smaller container and faster inference speeds.

1. Get the Model

Download the ONNX model files from Google Drive: https://drive.google.com/file/d/16yGOF0--kL3etijg-UflSbnzxpMT7Wof/view?usp=drive_link Extract the contents into a folder named model in the root of this project.

The structure must look exactly like this: ├── Dockerfile ├── main.py ├── requirements.txt └── model/ ├── config.json ├── model.onnx ├── tokenizer.json └── tokenizer_config.json

2. Deploy with Docker

Build the image: docker build -t phishing-api-onnx .

Run the container, linking the .env file: docker run -d -p 8000:8000 --env-file .env --name phishing-container phishing-api-onnx

3. Usage

The API will be running at http://localhost:8000. Visit http://localhost:8000/docs to test it via the Swagger UI.