File size: 647 Bytes
473047d d2cdb7f 473047d 80c62e0 473047d 80c62e0 473047d 72dd989 | 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 | 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):
# The prediction returns the prediction as a string, the index of the prediction and the probability
prediction, idx, probability = learn.predict(img)
return dict(zip(categories, map(float, probability)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False, share=True)
|