maj app

app.py

@@ -1,11 +1,12 @@
+import pandas as pd
+import joblib
+import uvicorn
 from fastapi import FastAPI, Body, Request
 from fastapi.responses import JSONResponse, RedirectResponse
 from fastapi.exceptions import RequestValidationError
 from pydantic import BaseModel, Field
 from typing import Literal
-import pandas as pd
-import joblib
-import uvicorn
+
 
 # Charger le modèle
 model = joblib.load("get_around_v1.pkl")
@@ -39,7 +40,23 @@ class CarData(BaseModel):
 # Initialisation FastAPI
 app = FastAPI(
     title="GetAround Prediction API",
-    description="API de prédiction du prix de location par jour pour GetAround",
+    description="""
+🎯 Cette API prédit le prix de location journalier d’un véhicule.
+
+👉 Pour certaines colonnes (car_brand, fuel, car_type, paint_color), choisir une valeur parmi les critères listés, à savoir : 
+
+- car_brand : "Citroën", "Peugeot", "PGO", "Renault", "Audi", "BMW", "Ford", "Mercedes",
+        "Opel", "Porsche", "Volkswagen", "KIA Motors", "Alfa Romeo", "Ferrari",
+        "Fiat", "Lamborghini", "Maserati", "Lexus", "Honda", "Mazda", "Mini",
+        "Mitsubishi", "Nissan", "SEAT", "Subaru", "Suzuki", "Toyota", "Yamaha".
+
+- fuel : "diesel", "petrol", "hybrid_petrol", "electro".
+
+- paint_color : "black", "grey", "white", "red", "silver", "blue",
+        "orange", "beige", "brown", "green"
+
+👉 Pour les autres options (private_parking_available, has_gps, etc.), utiliser true pour Oui et false pour Non.
+""",
     version="1.0"
 )