import gradio as gr
from fastai.vision.all import *
import gradio as gr
from glob import glob

learn = load_learner('model_ft15(extra).pkl')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = []
for image in glob('./anime_character_recognizer/examples/*'):
    transition_name = re.sub('./anime_character_recognizer/examples/', '', image)
    examples.append(transition_name)

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)