Upload 2 files

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import fastai
+import joblib
 
 #__all__ = ['NumberClass', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
 
@@ -7,7 +7,7 @@ def get_y(r):
     number = ''.join(filter(str.isdigit, str(r)))
     return train_y[int(number)]
 
-learn = load_learner('CollaborativeFiltering.pkl')
+learn = joblib.load('CollaborativeFiltering.pkl')
 
 label = gr.outputs.Label()
 

requirements.txt

@@ -1 +1 @@
-fastai
+joblib