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()