| 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() |
