# -*- coding: utf-8 -*-
"""app.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1H_HXmDbBPgwXLNM5tj0G4owH5VOLqlF0
"""

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

learn = load_learner('export.pkl')

labels = learn.dls.vocab
def predict(img):
  img = PILImage.create(img)
  pred,pred_idx,probs = learn.predict(img)
  return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Clasificador de fotos de pingüinos"
description = "Entrenado sobre resnet18 con fastai"
article="<p style='text-align: center'><a href='https://github.com/CodeRic28/penguin_classifier_fine_tune' target='_blank'>Github Repository</a></p>"

examples = ['gentoo1.jpg','chin.jpeg','adelie.jpg']
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3),examples=examples,title=title,description=description,article=article).launch()