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app.py

@@ -3,10 +3,15 @@ import numpy as np
 import joblib  # For loading the serialized model
 import pandas as pd  # For data manipulation
 from flask import Flask, request, jsonify  # For creating the Flask API
+from flask_cors import CORS
+
 
 # Initialize the Flask application
 rental_price_predictor_api = Flask("Airbnb Rental Price Predictor")
 
+CORS(rental_price_predictor_api)  # Enable CORS for all routes
+
+
 # Load the trained machine learning model
 model = joblib.load("rental_price_prediction_model_v1_0.joblib")
 

requirements.txt

@@ -5,6 +5,7 @@ xgboost==2.1.4
 joblib==1.4.2
 Werkzeug==2.2.2
 flask==2.2.2
+flask==5.0.1
 gunicorn==20.1.0
 requests==2.28.1
 uvicorn[standard]