diff --git a/README.md b/README.md
index 93b0196..08beff8 100644
--- a/README.md
+++ b/README.md
@@ -530,7 +530,7 @@ Different Python applications have different requirements, some of those require
5) **If you are NOT using an Nvidia card and CUDA, skip to step 6** We will need to force PyTorch to install with CUDA. So perform the following:
`pip cache purge` (Clear the current Pip cache)
`pip uninstall torch torchaudio` (Uninstall Torch and Torchaudio from the `alltalkenv` environment)
You can now either install the CUDA 11.8 or 12.1 version of Torch and Torchaudio with **one** of the following
**CUDA 11.8** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`
**CUDA 12.1** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121`
-6) Install one of the two requirements files. Whichever one of the two is correct for your machine type:
+6) Move into the `alltalk_tts` folder and install one of the two requirements files. Whichever one of the two is correct for your machine type:
`cd alltalk_tts`
**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`
**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`