change from hello to classify dogs-cats
Browse files
app.py
CHANGED
|
@@ -1,7 +1,22 @@
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
|
| 3 |
-
def
|
| 4 |
-
return "Hello " + name + "!!"
|
| 5 |
|
| 6 |
-
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#export
|
| 2 |
+
from fastai.vision.all import *
|
| 3 |
import gradio as gr
|
| 4 |
|
| 5 |
+
def is_cat(x): return x[0].isupper()
|
|
|
|
| 6 |
|
| 7 |
+
learn = load_learner('model.pkl')
|
| 8 |
+
|
| 9 |
+
categories = ('Dog', 'Cat')
|
| 10 |
+
|
| 11 |
+
def classify_image(img):
|
| 12 |
+
pred, idx,probs = learn.predict(img)
|
| 13 |
+
return dict(zip(categories, map(float, probs)))
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
examples = ['dog.jpeg']
|
| 17 |
+
intf = gr.Interface(
|
| 18 |
+
fn=classify_image,
|
| 19 |
+
inputs=gr.Image(shape=(192, 192)),
|
| 20 |
+
outputs=gr.Label(),
|
| 21 |
+
example=examples)
|
| 22 |
+
intf.launch(inline=False)
|
dog.jpeg
ADDED
|
model.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00bd3f6115c340c3a9968200f4448fb48dd69c0df7a549559dae7ed5aba1d6a0
|
| 3 |
+
size 47063403
|