| #|export | |
| #from fastcore.all import * | |
| from fastai.vision.all import * | |
| from fastbook import load_learner | |
| import gradio as gr | |
| inf = load_learner('LeopardCheetah.pkl') | |
| categories = ('Cheetah','Images','Leopard') | |
| def classify_img(img): | |
| pred, idx, probs = inf.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| #|export | |
| #This creates the gradio interface | |
| image = gr.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['cheetah.jpg','leopard.jpg','img.jpg'] | |
| intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples) | |
| intf.launch(inline=False) | |