Added new movies

models/metadata.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78472dfc4fcf4703b633dc55e20c3ac24dcb627e0ddef239d63d89314cf56716
-size 19236982
+oid sha256:d67454bdb9c062a590399826a106767b18b757de026fa2680807db995ae51949
+size 19423225

models/movie_index.faiss

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f489fa4ce9d3a757267af4dacb3b9d3f7339bb9ebf798e0403e58fe14d2171a8
-size 69970989
+oid sha256:1ff0388453a910bc59b00da9ae502b6079ec74eec42ba32c3dcd1dcbe29fac3c
+size 70780461

src/ingest.py

@@ -2,7 +2,7 @@ from dotenv import load_dotenv
 import os
 import requests
 import pandas as pd
-from src.recommender import MovieRecommender
+from recommender import MovieRecommender
 
 load_dotenv()
 
@@ -74,7 +74,7 @@ def run_weekly_update():
         return
 
     # 2. Get Data
-    candidates = get_popular_movies(limit=100)
+    candidates = get_popular_movies(limit=1000)
     genre_map = get_genre_map() # <--- NEW STEP
     
     # 3. Filter Duplicates