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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
import timm
# Some magic according to https://forums.fast.ai/t/lesson-2-official-topic/96033/376?page=17
import sys
# Upload your model
learn = load_learner('niclangf-bird-labeler.pkl')
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.Image()
label = gr.Label()
# Upload your own images and link them
examples = ['basset.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()
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