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| """import gradio as gr | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch()""" | |
| #|export | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| #|export | |
| learn = load_learner("export.pkl") | |
| #|export | |
| def classify_image(img): | |
| predict, idx, probs = learn.predict(img) | |
| categories = learn.dls.vocab | |
| return dict(zip(categories,map(float,probs))) | |
| #|export | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ["sunflower.jpg","Peonies.jpeg","Hellebore.jpg","Rose.jpg"] | |
| intf = gr.Interface(fn=classify_image, inputs=image,outputs=label,examples=examples) | |
| intf.launch(inline=False) | |