diff --git a/easyocr/detection.py b/easyocr/detection.py
index e2964b71b45..6e378bde59d 100644
--- a/easyocr/detection.py
+++ b/easyocr/detection.py
@@ -75,7 +75,7 @@ def get_detector(trained_model, device='cpu', quantize=True, cudnn_benchmark=Fal
     net = CRAFT()
 
     if device == 'cpu':
-        net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device, weights_only=False)))
+        net.load_state_dict(copyStateDict(torch.load(trained_model, map_location=device)))
         if quantize:
             try:
                 torch.quantization.quantize_dynamic(net, dtype=torch.qint8, inplace=True)
diff --git a/easyocr/easyocr.py b/easyocr/easyocr.py
index c08fe0388dd..e00104bc4c7 100644
--- a/easyocr/easyocr.py
+++ b/easyocr/easyocr.py
@@ -6,7 +6,7 @@
                    make_rotated_img_list, set_result_with_confidence,\
                    reformat_input_batched, merge_to_free
 from .config import *
-from bidi import get_display
+from bidi.algorithm import get_display
 import numpy as np
 import cv2
 import torch
@@ -72,8 +72,8 @@ def __init__(self, lang_list, gpu=True, model_storage_directory=None,
         elif gpu is True:
             if torch.cuda.is_available():
                 self.device = 'cuda'
-            elif torch.backends.mps.is_available():
-                self.device = 'mps'
+            #elif torch.backends.mps.is_available():
+                #self.device = 'mps'
             else:
                 self.device = 'cpu'
                 if verbose:
diff --git a/easyocr/recognition.py b/easyocr/recognition.py
index 530ef9517e2..cf4eaef21da 100644
--- a/easyocr/recognition.py
+++ b/easyocr/recognition.py
@@ -166,7 +166,7 @@ def get_recognizer(recog_network, network_params, character,\
     model = model_pkg.Model(num_class=num_class, **network_params)
 
     if device == 'cpu':
-        state_dict = torch.load(model_path, map_location=device, weights_only=False)
+        state_dict = torch.load(model_path, map_location=device)
         new_state_dict = OrderedDict()
         for key, value in state_dict.items():
             new_key = key[7:]
diff --git a/easyocr/utils.py b/easyocr/utils.py
index 987baf2c9a6..9d38deed9fd 100644
--- a/easyocr/utils.py
+++ b/easyocr/utils.py
@@ -6,6 +6,10 @@
 import math
 import cv2
 from PIL import Image, JpegImagePlugin
+try:
+    from PIL import get_display
+except ImportError:
+    get_display = None
 from scipy import ndimage
 import hashlib
 import sys, os
@@ -571,9 +575,9 @@ def compute_ratio_and_resize(img,width,height,model_height):
     ratio = width/height
     if ratio<1.0:
         ratio = calculate_ratio(width,height)
-        img = cv2.resize(img,(model_height,int(model_height*ratio)), interpolation=Image.Resampling.LANCZOS)
+        img = cv2.resize(img,(model_height,int(model_height*ratio)), interpolation=Image.LANCZOS)
     else:
-        img = cv2.resize(img,(int(model_height*ratio),model_height),interpolation=Image.Resampling.LANCZOS)
+        img = cv2.resize(img,(int(model_height*ratio),model_height),interpolation=Image.LANCZOS)
     return img,ratio