Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+def is_cat(x):
+    return x[0].isupper()
+
+learn = load_learner('moedl.pkl')
+
+labels = learn.dsl.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_ikx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title='Cat classifier'
+    description= '',
+    interpretation='default',
+    enable_queue=True
+).launch()