gradio/demo/digit_classifier.py
2020-07-08 17:09:52 -05:00

25 lines
605 B
Python

import tensorflow as tf
import gradio
import os
from tensorflow.keras.layers import *
import gradio as gr
from urllib.request import urlretrieve
urlretrieve("https://gr-models.s3-us-west-2.amazonaws.com/mnist-model.h5","mnist-model.h5")
model = tf.keras.models.load_model("mnist-model.h5")
def recognize_digit(image):
prediction = model.predict(image).tolist()[0]
return {str(i): prediction[i] for i in range(10)}
gr.Interface(
recognize_digit,
gradio.inputs.Sketchpad(flatten=True),
gradio.outputs.Label(num_top_classes=3),
live=True,
capture_session=True,
).launch()