Upload app.py

app.py

@@ -0,0 +1,29 @@
+from fastapi import FastAPI, UploadFile, File
+import pandas as pd
+import joblib
+from io import BytesIO
+
+app = FastAPI()
+
+model = joblib.load("modelo_anomalia.pkl")
+
+@app.get("/")
+def home():
+    return {"status": "API FastAPI rodando no Hugging Face!"}
+
+@app.post("/classify")
+async def classify_csv(file: UploadFile = File(...)):
+    content = await file.read()
+    df = pd.read_csv(BytesIO(content))
+
+    X = df[["elapsed", "success"]]
+    preds = model.predict(X)
+
+    percent_anom = (preds == -1).mean() * 100
+
+    return {
+        "anomalias": int((preds == -1).sum()),
+        "total": len(df),
+        "percentual": percent_anom,
+        "limite": percent_anom > 5
+    }