Update app.py

app.py

@@ -1,9 +1,13 @@
 import gradio as gr
 from fastai.vision.all import *
+from PIL import Image
 #
-learn = load_learner('export.pkl')
-labels = learn.dls.vocab
+#learn = load_learner('export.pkl')
+learn = torch.load('digit_classifier.pth')
+labels = [str(x) for x in range(10)]
 def predict(img):
+    #First take input and reduce it to 8x8 px as the dataset was
+    
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}