UI update

Data/cache.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20c0a6050889d0c37898372ccca40e2df3f2bd10cb72c79a01e76bd9270e372e
+size 860975

README.md

@@ -31,6 +31,7 @@ we will submit a representative subset of the data.
 
 Start the interface with `python -m flask run`.
 
+If for some reason app does not start, try running `python app.py`.
 
 ## Source Code
 Codes are stored under `./Books` as `.ipynb` files, and named according to the order they should be run. 

model.py

@@ -70,7 +70,7 @@ class Model:
             {'current_user': chosen_book_ids}
         )
 
-    def prepare_predictions(self, target_users_and_books: dict[str, list[str]]):
+    def prepare_predictions(self, target_users_and_books):
         """
         Given a dictionary of user_id to list[book_id], where the list of book IDs are the books favored by
         the associated user, this function returns the recommended books for each user provided in the dictionary

templates/index.html

@@ -10,6 +10,7 @@
         <h1>Book Recommendation System</h1>
         <p>Welcome! You can access the options below:</p>
         <a href="/test_users" class="btn btn-primary">Go to Test User Set</a>
+        <p>Please be patient.... this usually takes a minute or two</p>
     </div>
     <!-- Bootstrap JS (Optional) -->
     <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js" integrity="sha384-YvpcrYf0tY3lHB60NNkmXc5s9fDVZLESaAA55NDzOxhy9GkcIdslK1eN7N6jIeHz" crossorigin="anonymous"></script>