我正在为狗的品种分类器创建一个简单的shiny应用程序。用户可以上传狗的图片，然后让shiny应用程序显示预测的品种。
应用程序代码的简化版本如下：

from shiny import App, Inputs, Outputs, Session, reactive, render, ui
import keras
import tensorflow as tf
import numpy as np
import pickle

app_ui = ui.page_fluid(
    ui.input_file("dog_pic", "Upload your dog picture!", accept=[".jpeg"], multiple=False),
    ui.output_text("txt")

)

def server(input, output, session):

    # PROCESSING IMAGE:
    @reactive.Calc
    def parsed_file():
         image = tf.keras.preprocessing.image.load_img(input.dog_pic, target_size=(224, 224))
         input_arr = tf.keras.preprocessing.image.img_to_array(image)
         input_arr = np.array([input_arr])
         input_arr = input_arr.astype('float32') / 255.
         return input_arr

    # PARSING IMAGE THROUGH TO MODEL
    @output
    @render.text
    def txt():

        model = tf.keras.models.load_model('model')
        dog_prediction = model.predict(parsed_file())
        return f"Predicted dog breed is {dog_prediction}!"

app = App(app_ui, server)

字符串
我得到的错误是：x1c 0d1x
这是什么意思？谢谢！