| 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() | |