hotdog-or-not / app.py
myers's picture
don't hard code examples
352e49f
#!/usr/bin/env python3
from pathlib import Path
import gradio as gr
from fastai.vision.all import *
import skimage
learn = load_learner("hotdog.pkl")
labels = learn.dls.vocab
def predict(img):
pred, pred_idx, probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
title = "Hotdog or Not?"
description = "Upload a picture of a hotdog or hamburger and be amazed!"
interpretation = "default"
enable_queue = True
examples = [str(p) for p in Path("examples").glob("*")]
print(examples)
gr.Interface(
fn=predict,
inputs=gr.components.Image(shape=(512, 512)),
outputs=gr.components.Label(num_top_classes=3),
title=title,
description=description,
examples=examples,
interpretation=interpretation,
).launch(enable_queue=enable_queue)