mirror of
https://github.com/gradio-app/gradio.git
synced 2025-01-06 10:25:17 +08:00
24 lines
668 B
Python
24 lines
668 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):
|
|
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,
|
|
gradio.inputs.Image(shape=(28, 28), image_mode="L", source="canvas"),
|
|
gradio.outputs.Label(num_top_classes=3),
|
|
live=True,
|
|
capture_session=True,
|
|
).launch()
|