Recoully / app.py
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Update app.py
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'''
Author : Alafun
GitHub Page : https://github.com/Alafun/
Date : 2022-06-21 16:43:21
LastEditors : Alafun
LastEditTime : 2022-06-21 18:51:37
Description :
FilePath : \\app.py
Copyright (c) 2022 by Alafun, All Rights Reserved.
'''
import gradio as gr
def sepia(input_img):
sepia_filter = np.array(
[[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
)
sepia_img = input_img.dot(sepia_filter.T)
sepia_img /= sepia_img.max()
return sepia_img
import tensorflow as tf
import numpy as np
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) # add a batch dimension
prediction = model.predict(image).tolist()[0]
return {str(i): prediction[i] for i in range(10)}
TITLE="RECOULLY: RECOgnize yoUr caLLigraphY"
description="""在手写区写出你心里想的以为数字(0~9), 查看小美同学的实时预测吧!
### 项目介绍
- 中文名: 小美同学
- 英文名: Recoully
- 口头禅: 小美这么可爱, 就算猜错了也希望被原谅~~qaq
"""
demo = gr.Interface(fn=recognize_digit,
inputs="sketchpad",
outputs=gr.outputs.Label(num_top_classes=3),
live=True,
css=".footer {display:none !important}",
title=TITLE,
description=description,
thumbnail="https://raw.githubusercontent.com/gradio-app/real-time-mnist/master/thumbnail2.png")
demo.launch()