new update
Browse files- app.py +8 -3
- gitignore.txt +4 -0
app.py
CHANGED
|
@@ -1,3 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Cell
|
| 2 |
from fastai.vision.all import *
|
| 3 |
import gradio as gr
|
|
@@ -15,8 +19,9 @@ def classify_image(img):
|
|
| 15 |
return dict(zip(categories, map(float,probs)))
|
| 16 |
|
| 17 |
# Cell
|
| 18 |
-
image = gr.Image(shape=(192, 192))
|
| 19 |
-
label = gr.Label()
|
| 20 |
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
|
| 21 |
|
| 22 |
-
intf = gr.Interface(fn=classify_image, inputs=
|
|
|
|
|
|
| 1 |
+
# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
|
| 2 |
+
|
| 3 |
+
__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
|
| 4 |
+
|
| 5 |
# Cell
|
| 6 |
from fastai.vision.all import *
|
| 7 |
import gradio as gr
|
|
|
|
| 19 |
return dict(zip(categories, map(float,probs)))
|
| 20 |
|
| 21 |
# Cell
|
| 22 |
+
image = gr.inputs.Image(shape=(192, 192))
|
| 23 |
+
label = gr.outputs.Label()
|
| 24 |
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
|
| 25 |
|
| 26 |
+
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
| 27 |
+
intf.launch(inline=False)
|
gitignore.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
.ipynb_checkpoints/
|
| 2 |
+
*.bak
|
| 3 |
+
*.swp
|
| 4 |
+
|