Update app.py

app.py

@@ -3,6 +3,13 @@ from pydantic import BaseModel
 import mlflow.pyfunc
 import pandas as pd
 import config
+import logging
+import mylib
+logger = logging.getLogger(__name__)
+
+
+logging.basicConfig(filename='myapp.log', level=logging.INFO)
+
 
 # 1) URL du Space HF qui héberge MLflow (tracking server)
 SPACE_URL = "https://pradelf-getaround-api.hf.space"  # <-- remplace ici
@@ -119,9 +126,10 @@ async def predict(predictionFeatures: RentalFeatures):
     # ]
 
     car_caracteristic = pd.DataFrame([predictionFeatures.model_dump()])
-    print(car_caracteristic)
-    #car_caracteristic = pd.DataFrame({"Car": pf})
+    logger.info('Started')
 
+    logger.info(car_caracteristic)
+    #car_caracteristic = pd.DataFrame({"Car": pf})
     # Log model from mlflow
     logged_model = "models:/getaround-price-prediction-model/versions/2"  # REPLACE WITH YOUR OWN RUN ID
 
@@ -134,5 +142,7 @@ async def predict(predictionFeatures: RentalFeatures):
         "prediction": prediction.tolist()[0],
         "detail": "Prédiction du tarif journalier (nul si aucun modèle : model.pkl).",
     }
-    print(response)
+    logger.info(response)
+
+    logger.info('Finished')
     return response