File size: 731 Bytes
a1d6bb8 1b39f5a d88f5cb 3ee894b 1b39f5a a1d6bb8 1b39f5a a1d6bb8 525ca62 3ee894b a1d6bb8 | 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 | from fastai.vision.all import *
import gradio as gr
from PIL import Image
import numpy as np
from fastai.vision.core import PILImage
def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog','Cat')
def classify_image(img):
if isinstance(img, np.ndarray):
img = Image.fromarray(img.astype('uint8'), 'RGB')
if not isinstance(img, PILImage):
img = PILImage.create(img)
pred,idx,probs=learn.predict(img)
return dict(zip(categories,map(float,probs)))
image = gr.Image(width=192, height=192)
label = gr.Label()
examples = ['dog.jpg','cat.jpg','dog-cat.jpg']
intf= gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intf.launch(inline=False) |