Upload app.py

app.py

@@ -81,13 +81,7 @@ with app:
                 1. [miniconda-Python3.8](https://docs.conda.io/en/latest/miniconda.html#windows-installers)（未测试其他Python版本）[点这里可以直接下载](https://repo.anaconda.com/miniconda/Miniconda3-py38_22.11.1-1-Windows-x86_64.exe)，Just Me 与 All Users 都行，其余可无脑下一步
 
                 2. [git](https://git-scm.com/download/win)（建议使用便携版）[点这里可以直接下载(便携版v2.39.0.2)](https://github.com/git-for-windows/git/releases/download/v2.39.0.windows.2/PortableGit-2.39.0.2-64-bit.7z.exe)，路径填 D:\\SUI\\git\\
-
-                3. [torch-1.12.1+cu113-cp38](https://download.pytorch.org/whl/cu113/torch/)（N卡运算选装）[点这里可以直接下载](https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp38-cp38-win_amd64.whl) 下载后请放至 D:\\SUI\\envs\\
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-                4. [torchaudio-0.12.1+cu113-cp38](https://download.pytorch.org/whl/cu113/torchaudio/)（N卡运算选装）[点这里可以直接下载](https://download.pytorch.org/whl/cu113/torchaudio-0.12.1%2Bcu113-cp38-cp38-win_amd64.whl) 下载后请放至 D:\\SUI\\envs\\
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-                5. [torchvision-0.13.1+cu113-cp38](https://download.pytorch.org/whl/cu113/torchvision/)（N卡运算选装）[点这里可以直接下载](https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp38-cp38-win_amd64.whl) 下载后请放至 D:\\SUI\\envs\\
-
+                
                 ### 2. 在开始菜单中运行 Anaconda Powershell Prompt 并配置环境（除了工作目录，复制粘贴回车即可）
 
                 ```
@@ -120,9 +114,9 @@ with app:
                 ```
                 # GPU（NVIDIA）推理要安装的依赖：（如果pip报SSL相关错误请关闭科学上网）
                 pip install -r requirements_gpu.txt
-                pip install ..\\envs\\torch-1.12.1+cu113-cp38-cp38-win_amd64.whl
-                pip install ..\\envs\\torchaudio-0.12.1+cu113-cp38-cp38-win_amd64.whl
-                pip install ..\\envs\\torchvision-0.13.1+cu113-cp38-cp38-win_amd64.whl
+                pip install https://download.pytorch.org/whl/cu113/torch-1.12.1%2Bcu113-cp38-cp38-win_amd64.whl
+                pip install https://download.pytorch.org/whl/cu113/torchaudio-0.12.1%2Bcu113-cp38-cp38-win_amd64.whl
+                pip install https://download.pytorch.org/whl/cu113/torchvision-0.13.1%2Bcu113-cp38-cp38-win_amd64.whl
                 ```
                 至此环境配置完成，关闭该终端窗口（方便我写下一步）