First version of Cuttest Dogs App

app.py

@@ -1,7 +1,27 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('cuttest_dogs_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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))}
+
+title = "The Cuttest Dogs Classifier 🐶🐕🦮🐕‍🦺"
+description = "Classifier trainded on images of huskies, retrievers, pomeranians, corgis and samoyeds. Created as a demo for Deep Learning app using HuggingFace Spaces & Gradio."
+examples = ['husky.png', 'retriever.png', 'corgi.png', 'pomeranian.png', 'samoyed.png']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=5),
+    title=title,
+    description=description,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue).launch()

cuttest_dogs_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6f8745894949c47064c0448fffb6cc22e732d4ab6ddbe68e08a396498e212e4
+size 47032058