presenttaion

app.py

@@ -43,7 +43,54 @@ import pandas as pd
 import joblib
 import os
 
-app = FastAPI(title="Getaround Pricing API")
+app = FastAPI(
+    title="API Getaround",
+    description="""
+
+Bienvenue sur l'API de prédiction de prix de location de véhicules GetAround !  
+
+Grâce à notre modèle prédictif entraîné sur les données du partenaire GetAround, vous pouvez estimer rapidement le prix journalier d'un véhicule en fournissant ses caractéristiques.
+
+📌 **Règles pour certaines colonnes :**  
+
+- **model_key** : choisissez parmi les marques listées :  
+  "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".  
+
+- **car_type** : "convertible", "coupe", "estate", "hatchback", "sedan",
+  "subcompact", "suv", "van".  
+
+Pour les autres options (private_parking_available, has_gps, etc.), utilisez **true** pour Oui et **false** pour Non.
+
+EXEMPLE :  
+
+```json
+{
+  "car_brand": "Renault",
+  "mileage": 50000,
+  "engine_power": 120,
+  "fuel": "diesel",
+  "paint_color": "white",
+  "car_type": "estate",
+  "private_parking_available": false,
+  "has_gps": true,
+  "has_air_conditioning": false,
+  "automatic_car": false,
+  "has_getaround_connect": false,
+  "has_speed_regulator": false,
+  "winter_tires": true
+}
+
+""",
+    version="1.0"
+)
 
 @app.get("/")
 def root():

test.ipynb

@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "551a90a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "200\n",
+      "{'prediction': [142.45413208007812]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import requests\n",
+    "\n",
+    "\n",
+    "API_URL = \"https://nath13huggingface-getaround-api.hf.space/predict\"\n",
+    "\n",
+    "data = {\n",
+    "    \"mileage\": 50000,\n",
+    "    \"engine_power\": 110,\n",
+    "    \"model_key\": \"BMW\",\n",
+    "    \"fuel\": \"diesel\",\n",
+    "    \"paint_color\": \"white\",\n",
+    "    \"car_type\": \"van\",\n",
+    "    \"private_parking_available\": True,\n",
+    "    \"has_gps\": True,\n",
+    "    \"has_air_conditioning\": True,\n",
+    "    \"automatic_car\": True,\n",
+    "    \"has_getaround_connect\": True,\n",
+    "    \"has_speed_regulator\": True,\n",
+    "    \"winter_tires\": True\n",
+    "}\n",
+    "\n",
+    "response = requests.post(API_URL, json=data)\n",
+    "\n",
+    "print(response.status_code)\n",
+    "print(response.json())\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ml_deployment",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}