| import gradio as gr | |
| from fastai.vision.all import * | |
| #def is_cat(x): return x[0].isupper() | |
| learn = load_learner('gender_classifier1.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'] | |
| intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False) |