import gradio as gr | |
from fastai.vision.all import * | |
def label_func(fname: str) -> str: | |
return fname.split("_")[0] | |
learner = load_learner("model.pkl") | |
categories = ("Nighttime", "daylight", "sunrise") | |
def classify_image(img): | |
_, _, probs = learner.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label) | |
iface.launch() |