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README.md

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-# Hugging Face Space - Phishing Text Classifier (FastAPI)
-
-This Space exposes a minimal `/predict` endpoint for your MobileBERT phishing model so the Flutter app can call it reliably.
-
-## Files
-- app.py - FastAPI app that loads the model and returns `{ label, score }`.
-- requirements.txt - Python dependencies.
-
-## How to deploy
-1. Create a new Space on Hugging Face (type: FastAPI).
-2. Upload the contents of this `hf_space/` folder to the Space root.
-3. In Space Settings → Variables, add:
-   - MODEL_ID = Perth0603/phishing-email-mobilebert
-4. Wait for the Space to build and become green. Test:
-   - GET `/` should return `{ status: ok, model: ... }`
-   - POST `/predict` with `{ "inputs": "Win an iPhone! Click here" }`
-
-## Flutter app config
-Set the Space URL in your env file so the app targets the Space instead of the Hosted Inference API:
-
-```
-{"HF_SPACE_URL":"https://<your-space>.hf.space"}
-```
-
-Run the app:
-```
-flutter run --dart-define-from-file=hf.env.json
-```