from flask import Flask, jsonify from sklearn.neighbors import NearestNeighbors import numpy as np
# Example in-memory video features video_features = np.array([ [1, 2, 3], [4, 5, 6], [7, 8, 9] ]) S1056 - DoodStream
@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