File size: 917 Bytes
0ed0b1b 58f3f27 0ed0b1b 58f3f27 0ed0b1b c5fe803 0ed0b1b 016842a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | 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 predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {categories[i]: float(probs[i]) for i in range(len(categories))}
title = "Dog Cat Classifier"
description = "A pet classifier trained a Pets dataset. Created as a demo using Gradio and HuggingFace Spaces."
article="<p style='text-align: center'><a href='https://Solab5.github.io' target='_blank'>Morris Twinomugisha</a></p>"
examples = ['dog.jpg', 'cat.jpg']
interpretation='default'
enable_queue=True
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share='') |