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from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn = load_learner("fastai_l2_iscat_model.pkl")
categories = ("Perro", "Gato")
def classifiy_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 = ['dog.jpg', 'cat.jpg', 'catdog.jpg']
iface = gr.Interface(fn=classifiy_image, inputs=image, outputs=label,title="🐶 Dog vs Cat 😺 Recognizer",examples=examples)
iface.launch()
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