from fastai.vision.all import * | |
import gradio as gr | |
# why do we need this? | |
def is_cat(x): return x[0].isupper() | |
learner = load_learner('model.pkl') | |
categories = ("Dog", "Cat") | |
def infer(img): | |
_, _, prob = learner.predict(img) | |
return dict(zip(categories, map(float, prob))) | |
image = gr.inputs.Image(shape = (192, 192)) | |
label = gr.outputs.Label() | |
examples = ['cat.jpg', 'dog.jpg'] | |
iface = gr.Interface(fn=infer, inputs=image, outputs=label, examples=examples) | |
iface.launch() |