@app.route('/recommend', methods=['GET']) def recommend(): # Assume user provides a video ID and we fetch its features video_id = 0 # Example video ID query_features = video_features[video_id].reshape(1, -1)

from flask import Flask, jsonify from sklearn.neighbors import NearestNeighbors import numpy as np

app = Flask(__name__)