Mod interface

app.py

@@ -1,12 +1,13 @@
-__all__ = ["is_cat" , "learn", "classify_image", "categories", "image", "label", "examples", "intf"]
+__all__ = ["is_cat" , "learn", "classify_image", "categories", "image", "labels", "examples", "intf"]
 
 from fastai.vision.all import *
 import gradio as gr
+import skimage
 
 def is_cat(x): return x[0].isupper()
 
 learn = load_learner("model.pkl")
-
+labels = learn.dls.vocab
 categories = ("Dog", "Cat")
 
 def classify_image(img):
@@ -14,8 +15,8 @@ def classify_image(img):
     return dict(zip(categories, map(float, probs)))
 
 image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
+outputs = gr.outputs.Label(num_top_classes=3)
 examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, enable_queue=True)
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=outputs, examples=examples)
 intf.launch()