dpravinv commited on
Commit
4461a06
·
1 Parent(s): 815012e
Files changed (1) hide show
  1. app.py +23 -4
app.py CHANGED
@@ -1,7 +1,26 @@
1
  import gradio as gr
2
 
3
- def greet(name):
4
- return "Hello Genius " + name + "!!"
5
 
6
- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
7
- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import gradio as gr
2
 
3
+ __all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
 
4
 
5
+ # Cell
6
+ from fastai.vision.all import *
7
+
8
+ def is_cat(x): return x[0].isupper()
9
+
10
+ # Cell
11
+ learn = load_learner('\Users\Pravin Vijay\Downloads\model.pkl')
12
+
13
+ # Cell
14
+ categories = ('Dog', 'Cat')
15
+
16
+ def classify_image(img):
17
+ pred,idx,probs = learn.predict(img)
18
+ return dict(zip(categories, map(float,probs)))
19
+
20
+ # Cell
21
+ image = gr.inputs.Image(shape=(192,192))
22
+ label = gr.outputs.Label()
23
+ examples = ['dog.jpg','cat.jpg','dunno.jpg']
24
+
25
+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
26
+ intf.launch(inline=False)