updating examples debug

app.py

@@ -8,6 +8,8 @@ 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", 
@@ -22,23 +24,24 @@ examples = list(
             "examples/" + x), 
         examples))
 #print(examples)
+'''
 
 
 learn = load_learner('door_model.pkl')
 labels = learn.dls.vocab
 
-def predict(img_input):
-    img = PILImage.create(img_input)
-    pred,pred_idx,probs = learn.predict(img_input)
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 
 iface = gr.Interface(
     fn=predict,
-    inputs=gr.Image(type='filepath', shape=(512, 512)),
+    inputs=gr.Image(shape=(512, 512)),
     outputs=gr.Label(num_top_classes=3),
     title=title,
     description=description,
-    examples=examples).queue().launch()
+    examples=['examples/red.jpg']).queue().launch()