Delete model.py

model.py

@@ -1,13 +0,0 @@
-import numpy as np
-import pandas as pd
-
-class ContentBasedRecommender:
-    def __init__(self, train_data):
-        self.train_data = train_data
-
-    def predict(self, user_id, k=10):
-        user_books = set(self.train_data[self.train_data['user_id'] == user_id]['book_id'])
-        similar_books = set().union(*(self.train_data[self.train_data['book_id'] == book_id]['similar_books'].iloc[0] for book_id in user_books))
-        recommended_books = list(similar_books - user_books)
-
-        return np.random.choice(recommended_books, size=min(k, len(recommended_books)), replace=False).tolist()