docs(windows): add numpy version limit for CUDA installation

- Add numpy version limit (<2.0.0) in the pip installation command for Windows CUDA acceleration
- Update both English and Chinese versions of the README

docs/README_Windows_CUDA_Acceleration_en_US.md

@@ -65,7 +65,7 @@ If your graphics card has at least 8GB of VRAM, follow these steps to test CUDA-
 1. **Overwrite the installation of torch and torchvision** supporting CUDA.
 
    ```
-   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
    ```
 
 2. **Modify the value of `"device-mode"`** in the `magic-pdf.json` configuration file located in your user directory.

docs/README_Windows_CUDA_Acceleration_zh_CN.md

@@ -66,7 +66,7 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 **1.覆盖安装支持cuda的torch和torchvision**
 
 ```bash
-pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 "numpy<2.0.0" --index-url https://download.pytorch.org/whl/cu118
 ```
 
 **2.修改【用户目录】中配置文件magic-pdf.json中"device-mode"的值**