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from fastai.vision.all import *
import gradio as gr
def label_func(fname):
if int(str(fname)[str(fname).index('_')+1]) == 0:
return "Male"
return "Female"
learn = load_learner('gender.pkl')
categories = ('Male', 'Female')
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 = ['Male.jpg', 'Female.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch() |