BeeOrWasp / app.py
Gabriel
feat: app, req
487ec32
import warnings
from fastai.vision.all import *
import gradio as gr
warnings.simplefilter("ignore", category=UserWarning)
learn = load_learner('model.pkl')
warnings.resetwarnings()
categories = ('Bee', 'Wasp')
def classify_image(img):
_, _, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image()
label = gr.Label()
examples = ['bee.jpg', 'wasp.jpg']
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
interface.launch(inline=False)