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__all__ = ["is_cat", "learn", "classify_image", "categories", "image", "label", "examples", "intf"] | |
import fastai | |
from fastai.vision.all import * | |
import gradio as gr | |
def is_cat(x):return x[0].isupper() | |
learn = load_learner('model.pkl') | |
categories = ("Dog", "Cat") | |
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 = ["Guoba.jpeg",'Cassiopeia.jpg',"Nashoba.jpg","deer.jpeg","elephant.jpeg","butterfly.jpeg"] | |
intf = gr.Interface(fn=classify_image,inputs = image, | |
outputs = label, examples = examples) | |
intf.launch(inline=False) | |