Fix typos and misleading GPU info in pip install instructions for MacOS.

PiperOrigin-RevId: 547934602

Author: pcoet

site/en/install/pip.md

@@ -5,7 +5,7 @@
 This guide is for the latest stable version of TensorFlow. For the
 preview build *(nightly)*, use the pip package named
 `tf-nightly`. Refer to [these tables](./source#tested_build_configurations) for
-older TensorFlow version requirements. For the CPU-only build use the pip
+older TensorFlow version requirements. For the CPU-only build, use the pip
 package named `tensorflow-cpu`.
 
 Here are the quick versions of the install commands. Scroll down for the
@@ -334,15 +334,15 @@ The following NVIDIA® software are only required for GPU support.
 
     *   macOS 10.12.6 (Sierra) or higher (64-bit)
 
-    Note: While TensorFlow supports Apple Silicon (M1),  Packages that include
+    Note: While TensorFlow supports Apple Silicon (M1), packages that include
     custom C++ extensions for TensorFlow also need to be compiled for Apple M1.
     Some packages, like
     [tensorflow_decision_forests](https://www.tensorflow.org/decision_forests)
     publish M1-compatible versions, but many packages don't. To use those
     libraries, you will have to use TensorFlow with x86 emulation and Rosetta.
 
     Currently there is no official GPU support for running TensorFlow on
-    MacOS. The following is instructions are for running on CPU.
+    MacOS. The following instructions are for running on CPU.
 
     ### 2. Check Python version
 
@@ -355,13 +355,21 @@ The following NVIDIA® software are only required for GPU support.
     python3 -m pip --version
     ```
 
-   ### 2. Install Miniconda
+   ### 3. Install Miniconda
 
    [Miniconda](https://docs.conda.io/en/latest/miniconda.html){:.external}
-   is the recommended approach for installing TensorFlow with GPU support.
+   is the recommended approach for installing TensorFlow.
    It creates a separate environment to avoid changing any installed
-   software in your system. This is also the easiest way to install the required
-   software especially for the GPU setup.
+   software in your system.
+
+   Note: Miniconda is not a requirement for running TensorFlow on CPU. If you'd
+   prefer to create a virtual environment using
+   [venv](https://docs.python.org/3/library/venv.html) or
+   [Virtualenv](https://virtualenv.pypa.io/en/latest/), you can do so. Just
+   adjust the installation steps accordingly, and then follow the instructions
+   to install TensorFlow using pip.
+
+   Install Miniconda:
 
     ```bash
     curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o Miniconda3-latest-MacOSX-x86_64.sh