Update app.py

app.py

@@ -7,6 +7,7 @@ neural_net = load_learner('trained-NN.pkl')
 labels = neural_net.dls.vocab
 
 def predict(img):
+    img = PILImage.create(img)
     category, idx, probs = neural_net.predict(img)
     return dict(zip(labels, map(float, probs)))
     
@@ -15,9 +16,11 @@ description = 'Click an example photo or upload your own image!'
 examples = ['farm.jpg', 'lake.jpg', 'solar.jpg', 'neighborhood.jpg']
 
 iface = gr.Interface(fn=predict, 
-                     inputs=gr.Image(type='pil'), 
+                     inputs=gr.Image(), 
                      outputs='label',
                      title=title,
                      description=description,
                      examples=examples)
-iface.launch(share=True)
+iface.launch(share=True)
+
+# type='pil'