File size: 731 Bytes
a5dfbc8 89e40ff a5dfbc8 f99c14c a5dfbc8 a9c44ab 2964d7b deba70a bef04ab 2964d7b d5cf0f3 2964d7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | from fastai.vision.all import *
learn = load_learner('export2.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img).resize((132, 132))
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
#hide_output
import gradio as gr
title = "Pet Breed Classifier"
description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
examples = ['cat2.jpg','dog1.jpg','cat3.jpg','gat1.jpeg']
#hide_output
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples).launch()
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