John Chladnicek commited on
Commit
7bff7e7
1 Parent(s): 47d661a

update .gitattributes so git lfs will track .pkl files

Browse files
Files changed (4) hide show
  1. .gitignore +4 -0
  2. app.py +28 -0
  3. cat.jpg +0 -0
  4. dog.jpg +0 -0
.gitignore ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ Dogs_Cats.ipynb
2
+ model.pkl:Zone.Identifier
3
+ .ipynb_checkpoints/Untitled-checkpoint.ipynb
4
+ .ipynb_checkpoints/Dogs_Cats-checkpoint.ipynb
app.py ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # AUTOGENERATED! DO NOT EDIT! File to edit: Dogs_Cats.ipynb.
2
+
3
+ # %% auto 0
4
+ __all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
5
+
6
+ # %% Dogs_Cats.ipynb 3
7
+ from fastai.vision.all import *
8
+ import gradio as gr
9
+
10
+ def is_cat(x): return x[0].isupper()
11
+
12
+ # %% Dogs_Cats.ipynb 8
13
+ learn = load_learner('../../minima/model.pkl')
14
+
15
+ # %% Dogs_Cats.ipynb 14
16
+ categories=('Dog','Cat')
17
+
18
+ def classify_image(img):
19
+ pred, idx, probs = learn.predict(img)
20
+ return dict(zip(categories, map(float, probs)))
21
+
22
+ # %% Dogs_Cats.ipynb 16
23
+ image = gr.components.Image(height=192,width=192)
24
+ label = gr.components.Label()
25
+ examples = ['dog.jpg', 'cat.jpg']
26
+
27
+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
28
+ intf.launch(inline=False)
cat.jpg ADDED
dog.jpg ADDED