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import gradio as gr
import fastai
from fastai.vision.all import*
def is_cat(x):returnx[0].isupper()
learn=load_learner('resnett.pkl')
categories=learn.dls.vocab
def classify_img(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()
example=['mel.jpg','akiec.jpg','vasc.jpg']
intf=gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=example)
intf.launch(inline=False,share=False) |