Upload app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+# dependent function
+# labeling function
+def is_cat(x):
+    return x[0].isupper() 
+
+
+learn = load_learner('model.pkl')
+
+
+
+categories = ('Dog', 'Cat')
+
+# function to classify image 
+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']
+
+# gradio interface what kind of ouput 
+# input and output 
+# can provide some examples 
+# the gradio interface can take different kinds of inputs 
+intf = gr.Interface(fn=classify_image, inputs = image, outputs=label)#, examples = examples)
+intf.launch(inline = False)
+
+
+
+