New Test

app.py

@@ -1,22 +1,19 @@
+
+__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
+
 import gradio as gr
 from fastai.vision.all import *
 
-# def greet(name):
-#     return "Hello " + name + "!!"
-im = PILImage.create('Cat.jpg')
+def is_cat(x):return x[0].isupper()
 
-categories = ('Dog','Cat')
 learn = load_learner('model.pkl')
 
-def is_cat(x):
-    return x[0].isupper()
+categories = ('Dog','Cat')
 
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories,map(float,probs)))
 
-# classify_image(im)
-
 image = gr.inputs.Image(shape = (192,192))
 label = gr.outputs.Label()
 examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']
@@ -24,6 +21,3 @@ examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']
 intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
 intf.launch(inline=False,share=True)
 
-
-# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-# iface.launch(share='True')

model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d87f9bf95b98d3f0b88f586bf1b02c49b476a74d4855485c236498961dc1a995
-size 47061419
+oid sha256:ee9254b92f59e150474a7edd0624588c77c72d5ccee9f03f0e74f1ebb4ebff91
+size 47061547