app.py

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

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

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

# %% app.ipynb 3
learn = load_learner('model/indian_dance_forms_resnet50.pkl')

# %% app.ipynb 5
categories = learn.dls.vocab

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

# %% app.ipynb 7
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['examples/odissi.jpg',
            'examples/bharatanatyam.jpg',
            'examples/kathakali.jpg']
intf = gr.Interface(fn=classify_dance, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)