fastai

app.py

@@ -1,7 +1,20 @@
 import gradio as gr
+form fastai.vision.all import *
+def is_cat(): return x[0].is_upper()
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+
+categories = ("Dog", "Cat")
+
+def classify_image(img):
+    prob, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape = (192, 192))
+label = gr.outputs.Label()
+
+examples = []
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples = examples)
+iface.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c0baca27e11ee36c574a5071493c433c09400ae17986a2490cc895335b839cc
+size 46971114