Card #2

.ipynb_checkpoints/app-checkpoint.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

app.py

@@ -1,7 +1,40 @@
+#!/usr/bin/env python
+# coding: utf-8
+# Dogs vs Cats
+
+# In[7]:
+
+
+#|export
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+
+# In[9]:
+
+
+#|export
+learn = load_learner('model.pkl')
+
+
+
+# In[12]:
+
+
+#|export
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+
+#|export
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
-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, share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98af60c3ac8f0c1add0aabc805ef6f92580fe829fcaf7dd58c081c0e64472183
+size 47060011

model.pklZone.Identifier

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+[ZoneTransfer]
+ZoneId=3
+HostUrl=https://www.kaggle.com/