Spaces:
Running
Running
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from fastapi import FastAPI
|
| 2 |
+
import joblib
|
| 3 |
+
import numpy as np
|
| 4 |
+
|
| 5 |
+
app = FastAPI()
|
| 6 |
+
|
| 7 |
+
# Load trained model
|
| 8 |
+
model = joblib.load("web_attack_detection_model.pkl")
|
| 9 |
+
|
| 10 |
+
@app.get("/")
|
| 11 |
+
def home():
|
| 12 |
+
return {"message": "ML Model API is running"}
|
| 13 |
+
|
| 14 |
+
@app.post("/predict")
|
| 15 |
+
def predict(data: list):
|
| 16 |
+
|
| 17 |
+
input_data = np.array(data).reshape(1, -1)
|
| 18 |
+
|
| 19 |
+
prediction = model.predict(input_data)
|
| 20 |
+
|
| 21 |
+
return {
|
| 22 |
+
"prediction": prediction.tolist()
|
| 23 |
+
}
|