It's a Gender classification Machine Learning problem

app.py

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+import gradio as gr
+import fastai
+from fastai.vision.all import *
+learn=load_learner("gender_classification_model.h5")
+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']
+intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)

gender_classification_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9738f7dd09ae8e2847967dd2c879840f96babdb7daa63441b87393fc86af75b6
+size 19547936

requirement.txt

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+gradio
+fastai
+paths
+tensorflow