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from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('watersports.pkl') | |
categories = learn.dls.vocab | |
def classify_image(img): | |
pred,idx,probs = learn.predict(img) | |
return( dict(zip(categories, map(float,probs)))) | |
title = "Which Watersport? Test yourself before submitting to the machine learning classifier." | |
description = "Drag an image into the classifier. Take a close look and guess it yourself, before hitting **\<Submit\>**. \n \ | |
You need to **\<Clear\>** before dragging next image. Other images can be dragged directly from google search." | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
examples = './examples' | |
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, \ | |
examples=examples, examples_per_page=100, title=title, description=description) | |
iface.launch(inline=False) | |