Eiriksak's picture
fix
3ec88f5
import gradio as gr
from fastai.vision.all import *
import json
learn = load_learner('model.pkl')
with open('categories.json', 'r') as f:
categories = json.load(f)
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
_, _, probs = learn.predict(img)
return {f"{categories[labels[i]]} ({labels[i]})": float(probs[i]) for i in range(len(labels))}
title = "Predict flower species"
gr.Interface(
fn=predict,
inputs=gr.inputs.Image(shape=(512, 512)),
outputs=gr.outputs.Label(num_top_classes=len(labels)),
title=title
).launch()