Add model

app.py

@@ -1,7 +1,20 @@
+__all__ = ['learn', 'classify_image', 'categories', 
+           'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+
+categories = ('Dinosaur', 'Not Dinosaur')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dinosaur.png', 'not_dinosaur.png']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b884c6e5faf1845a654920069476749ae54ec3bba15924d5405c0213bb542746
+size 46954863

requirements.txt

@@ -0,0 +1 @@
+fastai