Spaces:
Sleeping
Sleeping
File size: 1,083 Bytes
8dd859b 2aff377 8dd859b 5bf649e 8dd859b 2aff377 8dd859b e950bad 2aff377 5ff0020 8dd859b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
import timm
import skimage
# Some magic according to https://forums.fast.ai/t/lesson-2-official-topic/96033/376?page=17
def is_cat(x):
return x[0].isupper() # Used by model
import sys
sys.modules["__main__"].is_cat = is_cat
# Upload your model
learn = load_learner('corgi-classifier.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 = ['cardigan.jpg', 'pembroke.jpg']
title = "Corgi Breed Classifier"
description = "A Corgie breed classifier to distinguish between Welsh Corgi Pembroke and Welsh Corgi Cardigan."
interpretation='default'
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples,
title=title,
description=description,
interpretation=interpretation)
intf.launch() |