change app.py to run on Hugging Face

app.py

@@ -4,15 +4,26 @@ from fastai.vision.all import *
 
 learn = load_learner('model.pkl')
 
+
 labels = learn.dls.vocab
 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))}
+        pred,pred_idx,probs = learn.predict(img)
+            return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-def greet(name):
-    return "May the force will be with you, " + name + "!!"
+            title = "Horde or Aliance Classifier"
+            description = "Horde or Aliance Classifier created in Hugging Face Spaces"
+            article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+            examples = ['horde.jpeg', 'alliance.jpeg']
+            interpretation='default'
+            enable_queue=True
 
-# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
-iface.launch()
+gr.Interface(fn=predict,
+                inputs=gr.inputs.Image(shape=(512, 512)),
+                outputs=gr.outputs.Label(num_top_classes=3),
+                title=title,
+                description=description,
+                article=article,
+                examples=examples,
+                interpretation=interpretation,
+                enable_queue=enable_queue).launch()