app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: gradio_template.ipynb.

# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']

# %% gradio_template.ipynb 1
from fastai.vision.all import *
import gradio as gr



# %% gradio_template.ipynb 3
learn = load_learner('model.pkl')


# %% gradio_template.ipynb 5
categories = ('joyful', 'neutral', 'sad')

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

# %% gradio_template.ipynb 7
image = gr.Image(image_mode='RGB')
label = gr.Label()
examples = ['joyful_face.jpg', 'neutral_face.jpg', 'sad_face.jpg']

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