hosting

app.py

@@ -2,14 +2,18 @@ import gradio as gr
 from fastai.vision.all import *
 from fastcore import *
 
-learn = load_learner('kitten.pkl')
 
+learn = load_learner('kitten.pkl')
 classes = learn.dls.vocab
 
 def classify_images(img):
-    img = PILimage.create(img)
+    img = PILImage.create(img)
     pred,idx,prob = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    return {classes[i]: float(prob[i]) for i in range(len(classes))}
+
+title = "Cute or Ugly Kitten Classifier"
+description = "Upload a kitten and it will tell you if it's ugly or cute! ~Elio."
+examples = ['cute kitten.jpg', 'ugly kitten.jpg']
 
-iface = gr.Interface(fn=classify_images, inputs=gr.interface.Image(shape=(512, 512)), outputs=gr.interface.Label())
-iface.launch()
+iface = gr.Interface(fn=classify_images, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(), title=title, description=description, examples=examples)
+iface.launch(share=True)

cute kitten.jpg:Zone.Identifier

@@ -0,0 +1,4 @@
+[ZoneTransfer]
+ZoneId=3
+ReferrerUrl=https://www.google.com/
+HostUrl=https://i.pinimg.com/564x/32/f2/43/32f24381b05fcf53d8088c98963fe326.jpg

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+scikit-image
+fastcore

ugly kitten.jpg:Zone.Identifier

@@ -0,0 +1,4 @@
+[ZoneTransfer]
+ZoneId=3
+ReferrerUrl=https://www.google.com/
+HostUrl=https://www.rd.com/wp-content/uploads/2020/12/GettyImages-638917674-e1608242612552.jpg