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


def is_cell(x): return x[0].isupper()


learn = load_learner('export.pkl')

categories = ('Plant Cell', 'Bone Cell', 'Blood Cell', 'Stem Cell')


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 = ['stem cell.jpg', 'plant cell.jpg']

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