| 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 = ('Female', 'Male') | |
| 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() |