Renamed files

app.py

@@ -9,8 +9,8 @@ import gradio as gr
 from huggingface_hub import from_pretrained_keras
 from datasets import load_dataset
 
-book_data_load = load_dataset("hqasmei/ml-capstone-project-dataset", data_files="book_data.csv")
-filtered_data_load = load_dataset("hqasmei/ml-capstone-project-dataset", data_files="filtered_data.csv")
+book_data_load = load_dataset("hqasmei/collaborative-filtering-dataset", data_files="book_data.csv")
+filtered_data_load = load_dataset("hqasmei/collaborative-filtering-dataset", data_files="filtered_data.csv")
 
 book_data_arr = []
 filtered_data_arr = []
@@ -42,7 +42,7 @@ num_books           = len(book_encoded2book)
 filtered_df["rating"] = filtered_df["rating"].values.astype(np.float32)
 
 # Load model
-model = from_pretrained_keras('hqasmei/ml-model')
+model = from_pretrained_keras('hqasmei/collaborative-filtering-model')
 
 
 def update_user(id):