File size: 980 Bytes
b041c76 2400366 b041c76 a948793 b041c76 9abe2f3 451a2a2 b041c76 4cb0c1d | 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 | __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
# Cell
from fastai.vision.all import *
import gradio as gr
import timm
# Cell
# Check if AMPMode exists in the current fastai version
try:
from fastai.callback.fp16 import AMPMode
except ImportError:
# Define AMPMode if not found (you need to replace this with the actual implementation)
class AMPMode:
def __init__(self):
pass
# Cell
learn = load_learner('model.pkl')
# Cell
categories = learn.dls.vocab
def classify_image(img):
# Ensure img is transformed into a tensor in the right shape
img = PILImage.create(img)
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# Cell
image = gr.components.Image()
label = gr.components.Label()
examples = ['Maine_Coon.jpg', 'Beagle.jpg']
# Cell
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
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