Traceback (most recent call last):
  File "modules/MMM-Test/face.py", line 11, in <module>
    emotion_classifier = load_model(os.getcwd()+'/files/emotion_model.hdf5', compile=False)
  File "/home/pi/.local/lib/python3.7/site-packages/tensorflow_core/python/keras/saving/save.py", line 140, in load_model
    loader_impl.parse_saved_model(filepath)
  File "/home/pi/.local/lib/python3.7/site-packages/tensorflow_core/python/saved_model/loader_impl.py", line 83, in parse_saved_model
    constants.SAVED_MODEL_FILENAME_PB))
OSError: SavedModel file does not exist at: /home/pi/MagicMirror/files/emotion_model.hdf5/{saved_model.pbtxt|saved_model.pb}

    at PythonShell.parseError (/home/pi/MagicMirror/modules/MMM-Test/node_modules/python-shell/index.js:268:21)
    at terminateIfNeeded (/home/pi/MagicMirror/modules/MMM-Test/node_modules/python-shell/index.js:139:32)
    at ChildProcess.<anonymous> (/home/pi/MagicMirror/modules/MMM-Test/node_modules/python-shell/index.js:131:13)
    at ChildProcess.emit (events.js:182:13)
    at Process.ChildProcess._handle.onexit (internal/child_process.js:237:12)
  executable: 'python3',
  options: null,
  script: 'modules/MMM-Test/face.py',
  args: null,
  exitCode: 1 }
MagicMirror will not quit, but it might be a good idea to check why this happened. Maybe no internet connection?
If you think this really is an issue, please open an issue on GitHub: https://github.com/MichMich/MagicMirror/issues
Shutting down server...

And finally I found that this error message appears when
there is no “emotion_model.hdf5” in file/home/pi/MagicMirror/files/.
When I run it with python3 it works well, and if I intentionally change the name of hdf5 file as “happy_model.hdf5” and run it with python3, same error appears.
So I realized that this error means that there is no hdf5 file in the directory.
Even though I can run it with python3, when I try to run it with magicmirror, because of that error message I couldn’t run it with magic mirror.

I even eliminate everything except the line that means loading hdf5 file as follows.

import cv2
import numpy as np   
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import load_model
import os
import json
import sys
import time
# Face detection XML load and trained model loading
face_detection = cv2.CascadeClassifier(os.getcwd()+'/files/haarcascade_frontalface_default.xml')
emotion_classifier = load_model(os.getcwd()+'/files/emotion_model.hdf5', compile=False)

But same error message appears.
Is there anyone who have ever experienced this problem or who can give me advice?
Thank you.