File size: 813 Bytes
2f48892 374669b 6869e68 ae75212 6869e68 2f48892 6869e68 374669b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
#import gradio as gr
# def greet(name):
# return "Hello " + name + "!!"
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx, probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
#image = gr.inputs.Image(shape=(192,192))
#label = gr.outputs.label()
#examples = ['cat.jpg']
#intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf = gr.Interface(fn=classify_image,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=3),
examples=["cat.jpg"])
intf.launch(inline=False)
|