cat vs dog

.gitignore

@@ -0,0 +1 @@
+.env/

app.py

@@ -1,7 +1,28 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+from fastai.vision.all import *
+import gradio as gr
+
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+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()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfae5f3f50aa28a32430e4f0f7478cf945d855543d71c9a3a4451485b3471d1e
+size 87564011