Rekanice's picture
deploy app
aafd2da
from fastai.vision.all import *
import gradio as gr
import glob
learn = load_learner("export.pkl")
categories = learn.dls.vocab
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = glob.glob("./images/*.jpg")
intf= gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)