Spaces:
Sleeping
Sleeping
bare bones no model
Browse files- app.py +14 -4
- baldwin.jpg +0 -0
- closecall.jpg +0 -0
- trump.jpg +0 -0
app.py
CHANGED
|
@@ -1,7 +1,17 @@
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
|
| 3 |
-
|
| 4 |
-
return "Hello " + name + "!!"
|
| 5 |
|
| 6 |
-
|
| 7 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import fastai.vision.all import *
|
| 2 |
import gradio as gr
|
| 3 |
|
| 4 |
+
learn = load_learner('trump model v2.pkl')
|
|
|
|
| 5 |
|
| 6 |
+
categories = ('trump', 'trump impersonator')
|
| 7 |
+
|
| 8 |
+
def classify_image(img):
|
| 9 |
+
pred,idx,probs = learn.predict(img)
|
| 10 |
+
return dict(zip(categories, map(float, probs)))
|
| 11 |
+
|
| 12 |
+
image = gr.inputs.Image(shape=(192,192))
|
| 13 |
+
label = gr.outputs.Label()
|
| 14 |
+
examples = ['trump.jpg', 'baldwin.jpg', 'closecall.jpg']
|
| 15 |
+
|
| 16 |
+
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
|
| 17 |
+
intf.launch(inline=False, share=True)
|
baldwin.jpg
ADDED
|
closecall.jpg
ADDED
|
trump.jpg
ADDED
|