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from fastai.vision.all import * | |
import gradio as gr | |
# dependent function | |
# labeling function | |
def is_cat(x): | |
return x[0].isupper() | |
learn = load_learner('model.pkl') | |
categories = ('Dog', 'Cat') | |
# function to classify image | |
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 = ['dog.jpg', 'cat.jpg', 'dunno.jpg'] | |
# gradio interface what kind of ouput | |
# input and output | |
# can provide some examples | |
# the gradio interface can take different kinds of inputs | |
intf = gr.Interface(fn=classify_image, inputs = image, outputs=label)#, examples = examples) | |
intf.launch(inline = False) | |