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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_images(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 = ['cannis.jpeg', 'feline.jpeg']
#def greet(name):
# return "Hello " + name + "!!"
#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
#iface.launch()
iface = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False, share=true) |