gradio/demo/digit_classifier.py
2020-08-21 14:20:05 -07:00

26 lines
639 B
Python

# Demo: (Image) -> (Label)
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):
image = image.reshape(1, -1)
prediction = model.predict(image).tolist()[0]
return {str(i): prediction[i] for i in range(10)}
gr.Interface(
recognize_digit,
"sketchpad",
gradio.outputs.Label(num_top_classes=3),
live=True,
capture_session=True,
).launch()