Fix img input bug

app.py

@@ -6,7 +6,7 @@ learn = load_learner('export.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
-    img = PILImage.create(img)
+    # img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
@@ -16,4 +16,4 @@ examples = ['blackcub.jpg']
 interpretation='default'
 enable_queue=True
 
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share=True)

requirements.txt

@@ -1,2 +1,3 @@
 fastai
-scikit-image
+scikit-image
+gradio