Update readme. (#3331)

* Update readme.

Summary: .

Reviewed By: cccclai

Differential Revision: D56532283

fbshipit-source-id: 62d7c9e8583fdb5c9a1b2e781e80799c06682aae
(cherry picked from commit ce1e9c1)

* Update readme.

Summary: .

Reviewed By: cccclai

Differential Revision: D56535633

fbshipit-source-id: 070a3b0af9dea234f8ae4be01c37c03b4e0a56e6
(cherry picked from commit 035aee4)

Author: shoumikhin

examples/demo-apps/apple_ios/LLaMA/README.md

@@ -2,12 +2,20 @@
 
 This app demonstrates the use of the LLaMA chat app demonstrating local inference use case with ExecuTorch.
 
-<img src="../_static/img/llama_ios_app.png" alt="iOS LLaMA App" /><br>
-
 ## Prerequisites
-* [Xcode 15](https://developer.apple.com/xcode).
-* [iOS 17 SDK](https://developer.apple.com/ios).
-* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment.
+* [Xcode 15](https://developer.apple.com/xcode)
+* [iOS 17 SDK](https://developer.apple.com/ios)
+* Set up your ExecuTorch repo and environment if you haven’t done so by following the [Setting up ExecuTorch](https://pytorch.org/executorch/stable/getting-started-setup) to set up the repo and dev environment:
+
+```bash
+git clone -b release/0.2 https://github.com/pytorch/executorch.git
+cd executorch
+git submodule update --init
+
+python3 -m venv .venv && source .venv/bin/activate
+
+./install_requirements.sh
+```
 
 ## Exporting models
 Please refer to the [ExecuTorch Llama2 docs](https://github.com/pytorch/executorch/blob/main/examples/models/llama2/README.md) to export the model.
@@ -16,10 +24,11 @@ Please refer to the [ExecuTorch Llama2 docs](https://github.com/pytorch/executor
 
 1. Open the [project](https://github.com/pytorch/executorch/blob/main/examples/demo-apps/apple_ios/LLaMA/LLaMA.xcodeproj) in Xcode.
 2. Run the app (cmd+R).
-3. In app UI pick a model and tokenizer to use, type a prompt and tap the arrow buton as on the [video](../_static/img/llama_ios_app.mp4).
+3. In app UI pick a model and tokenizer to use, type a prompt and tap the arrow buton
 
 ```{note}
-ExecuTorch runtime is distributed as a Swift package providing some .xcframework as prebuilt binary targets. Xcode will dowload and cache the package on the first run, which will take some time.
+ExecuTorch runtime is distributed as a Swift package providing some .xcframework as prebuilt binary targets.
+Xcode will dowload and cache the package on the first run, which will take some time.
 ```
 
 ## Copy the model to Simulator
@@ -33,5 +42,11 @@ ExecuTorch runtime is distributed as a Swift package providing some .xcframework
 2. Navigate to the Files tab and drag&drop the model and tokenizer files onto the iLLaMA folder.
 3. Wait until the files are copied.
 
+Click the image below to see it in action!
+
+<a href="https://pytorch.org/executorch/main/_static/img/llama_ios_app.mp4">
+  <img src="https://pytorch.org/executorch/main/_static/img/llama_ios_app.png" width="600" alt="iOS app running a LlaMA model">
+</a>
+
 ## Reporting Issues
 If you encountered any bugs or issues following this tutorial please file a bug/issue here on [Github](https://github.com/pytorch/executorch/issues/new).