|
|
|
|
|
|
|
__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image'] |
|
|
|
|
|
from fastai.vision.all import * |
|
import gradio as gr |
|
|
|
|
|
|
|
learner = load_learner('plants.pkl') |
|
|
|
|
|
categories = ('Coriander قزبر','Parsley معدنوس') |
|
def classify_image(img): |
|
pred, idx, probs = learner.predict(img) |
|
return dict(zip(categories,map(float,probs))) |
|
|
|
|
|
image = gr.inputs.Image(shape=(192,192)) |
|
label = gr.outputs.Label() |
|
examples = ['coriander.jpg','parsley.jpg'] |
|
|
|
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
|
intf.launch(inline=False) |
|
|