Draft that expected to work

app.py

@@ -1,13 +1,25 @@
+import gradio as gr
 from fastai.vision.all import *
+import skimage
 
 learn = load_learner('export.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))}
 
-import gradio as gr
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), 
-    outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+title = "Dinosaur Classifier"
+description = "A dinosour classifier is just dummy model trained on DuckDuckGo search images with fastai. Created to learn more about Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'>Dino guesser</p>"
+examples = ['Spinosaurus.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,
+    article=article,examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue).launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84f530b49c2ab48a6a4185d44785bf8f9f1014429880fae85ddedb960d8420b9
+size 102931084