gradio/demo/digit_classifier.py
2021-03-01 17:26:07 -08:00

34 lines
788 B
Python

# Demo: (Image) -> (Label)
import tensorflow as tf
import gradio
import gradio as gr
from urllib.request import urlretrieve
import os
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)}
im = gradio.inputs.Image(shape=(28, 28), image_mode='L', invert_colors=False, source="canvas")
iface = gr.Interface(
recognize_digit,
im,
gradio.outputs.Label(num_top_classes=3),
# live=True,
interpretation="default",
capture_session=True,
)
iface.test_launch()
if __name__ == "__main__":
iface.launch()