catdog

app.py

@@ -1,10 +1,27 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!! " + reverse(name)
+__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
 
-def reverse(name):
-    return name[::-1]
+learn = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('Dog', "Cat")
+
+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()
+
+intf = gr.Interface(fn=classify_image, inputs=image outputs=label)
+intf.launch(inline=False)
+
+# def greet(name):
+#     return "Hello " + name + "!! " + reverse(name)
+
+# def reverse(name):
+#     return name[::-1]
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d8abe14790ebdac53f8a7244e8a8dbcfd25eb1faa464a9fd05ef0341e614028
+size 47071979