images update

app.py

@@ -7,11 +7,11 @@ title = "Open/Closed Door Classifier"
 description = "A classifier trained using fastai on search images of open and closed doors." \
     "Created for Lesson 2 in the fastai course."
 
-examples = ['open-door.jpg', 
-    'crack_2.jpg', 'red_arch.jpg', 
-    'green.jpg', 'red.jpg', 'opening_door.jpg', 
-    'inside.jpg', './cracked_3.jpg', './old.jpg', 
-    'blue.jpg']
+examples = ["open-door.jpg", 
+    "crack_2.jpg", "red_arch.jpg", 
+    "green.jpg", "red.jpg", "opening_door.jpg", 
+    "inside.jpg", "cracked_3.jpg", "old.jpg", 
+    "blue.jpg"]
 
 examples = list(map(lambda x: "examples/" + x, examples))
 #print(examples)
@@ -22,7 +22,7 @@ labels = learn.dls.vocab
 
 def predict(img_input):
     img = PILImage.create(img_input)
-    pred,pred_idx,probs = learn.predict(img)
+    pred,pred_idx,probs = learn.predict(img_input)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}