added app.py

app.py

@@ -0,0 +1,50 @@
+from preditormodels import PhishingPredictor
+import re
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel, field_validator
+from config import XGB_MODEL_PATH, BERT_MODEL_PATH
+class EmailRequest(BaseModel):
+    subject: str
+    body: str
+
+    @field_validator("subject", "body", mode="before")
+    @classmethod
+    def clean_text(cls, v):
+        if isinstance(v, str):
+            # Remove illegal ASCII control characters
+            v = re.sub(r"[\x00-\x08\x0B\x0C\x0E-\x1F]", "", v)
+        return v
+
+
+# FastAPI App
+
+
+app = FastAPI(title="Phishing Detection API")
+
+
+# Load models once
+predictor = PhishingPredictor(BERT_MODEL_PATH, XGB_MODEL_PATH)
+
+
+@app.get("/")
+def read_root():
+    return {"message": "Phishing Detection API is running."}
+
+
+@app.post("/predict")
+async def get_prediction(email: EmailRequest):
+    """
+    Predict whether an email is phishing or legitimate.
+    """
+    try:
+        return predictor.predict(email.subject, email.body)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+
+# Run Server
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="127.0.0.1", port=8500)