docs(genai): update readme pages

Author: msampathkumar

genai/README.md

@@ -1,16 +1,16 @@
 # Generative AI Samples on Google Cloud
 
-This directory contains Python code samples demonstrating how to use Google Cloud's Generative AI capabilities on Vertex AI.  These samples accompany the [Google Cloud Generative AI documentation](https://cloud.google.com/ai/generative-ai) and provide practical examples of various features and use cases.
+This directory contains Python code samples demonstrating how to use Google Cloud's Generative AI capabilities on Vertex AI. These samples accompany the [Google Cloud Generative AI documentation](https://cloud.google.com/ai/generative-ai) and provide practical examples of various features and use cases.
 
 ## Getting Started
 
-To run these samples, we recommend using either Google Cloud Shell, Cloud Code IDE, or Google Colab.  You'll need a Google Cloud Project and appropriate credentials.
+To run these samples, we recommend using either Google Cloud Shell, Cloud Code IDE, or Google Colab. You'll need a Google Cloud Project and appropriate credentials.
 
 **Prerequisites:**
 
-* **Google Cloud Project:**  Create or select a project in the [Google Cloud Console](https://console.cloud.google.com).
-* **Authentication:**  Ensure you've authenticated with your Google Cloud account.  See the [authentication documentation](https://cloud.google.com/docs/authentication) for details.
-* **Enable the Vertex AI API:**  Enable the API in your project through the [Cloud Console](https://console.cloud.google.com/apis/library/aiplatform.googleapis.com).
+- **Google Cloud Project:** Create or select a project in the [Google Cloud Console](https://console.cloud.google.com).
+- **Authentication:** Ensure you've authenticated with your Google Cloud account. See the [authentication documentation](https://cloud.google.com/docs/authentication) for details.
+- **Enable the Vertex AI API:** Enable the API in your project through the [Cloud Console](https://console.cloud.google.com/apis/library/aiplatform.googleapis.com).
 
 ## Sample Categories
 
@@ -30,21 +30,27 @@ Provides examples of how to control various aspects of the generated content, su
 
 ### Count Tokens (`count_tokens`)
 
-Shows how to estimate token usage for inputs and outputs of Generative AI models.  Understanding token consumption is crucial for managing costs and optimizing performance. See the [Token Counting documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/list-token) for more details.
+Shows how to estimate token usage for inputs and outputs of Generative AI models. Understanding token consumption is crucial for managing costs and optimizing performance. See the [Token Counting documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/list-token) for more details.
 
-### Text Generation (`text_generation`)
+### Express Mode (`express_mode`)
 
-Provides examples of generating text using various input modalities (text, images, audio, video) and features like asynchronous generation, chat, and text streaming.  See the [Text Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini) for details.
+Demonstrates how to use Express Mode for simpler and faster interactions with Generative AI models using an API key. This mode is ideal for quick prototyping and experimentation. See the [Express Mode documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview) for details.
 
-### Tools (`tools`)
+### Live API (`live_api`)
 
-Showcases how to use tools like function calling, code execution, and grounding with Google Search to enhance Generative AI interactions. See the [Tools documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling) for more information.
+Provides examples of using the Generative AI [Live API](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal-live-api). This allows for real-time interactions and dynamic content generation.
 
 ### Safety (`safety`)
 
 Provides examples demonstrating how to configure and apply safety settings to Generative AI models. This includes techniques for content filtering and moderation to ensure responsible AI usage. See the [Safety documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-attributes) for details.
 
+### Text Generation (`text_generation`)
+
+Provides examples of generating text using various input modalities (text, images, audio, video) and features like asynchronous generation, chat, and text streaming. See the [Text Generation documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/send-chat-prompts-gemini) for details.
+
+### Tools (`tools`)
 
+Showcases how to use tools like function calling, code execution, and grounding with Google Search to enhance Generative AI interactions. See the [Tools documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling) for more information.
 
 ## Contributing
 
@@ -56,4 +62,4 @@ For questions, feedback, or bug reports, please use the [issues page](https://gi
 
 ## Disclaimer
 
-This repository is not an officially supported Google product. The code is provided for demonstrative purposes only.
+This repository is not an officially supported Google product. The code is provided for demonstrative purposes only.

genai/template_folder/README.md

@@ -12,7 +12,6 @@ This assumes you're familiar with basic Python development and Git.
 When adding a new feature, replicate the structure of the template_folder directory.
 This standardized structure ensures consistency and maintainability across the projec
 
-
 **Recommended Folder-File Structure:**
 
 ```
@@ -25,14 +24,14 @@ genai/
     └── test_<new_feature_name>_examples.py
 ```
 
-* `<new_feature_folder`>: A descriptive name for your feature (e.g., custom_models).
-* `<newfeature_shortname>_with_<input_type>.py`: The file demonstrating your feature. 
-  Replace <new_feature_name> with the name of your feature and <input_type> with the type of input it uses (e.g., txt, pdf, etc.).
+- `<new_feature_folder`>: A descriptive name for your feature (e.g., custom_models).
+- `<newfeature_shortname>_with_<input_type>.py`: The file demonstrating your feature.
+  Replace \<new_feature_name> with the name of your feature and \<input_type> with the type of input it uses (e.g., txt, pdf, etc.).
   This file should contain well-commented code and demonstrate the core functionality of your feature using a practical example.
-* `test_<new_feature_name>_examples.py`: Unit tests for your feature using pytest. Ensure comprehensive test coverage.
-* `noxfile_config.py`: Configuration file for running CICD tests.
-* `requirements.txt`: Lists the all dependencies for your feature. Include google-genai and any other necessary libraries.
-* `requirements-test.txt`: Lists dependencies required for testing your feature. Include packages like pytest.
+- `test_<new_feature_name>_examples.py`: Unit tests for your feature using pytest. Ensure comprehensive test coverage.
+- `noxfile_config.py`: Configuration file for running CICD tests.
+- `requirements.txt`: Lists the all dependencies for your feature. Include google-genai and any other necessary libraries.
+- `requirements-test.txt`: Lists dependencies required for testing your feature. Include packages like pytest.
 
 If the feature name is `Hello World` and it has example that takes username input to greet user, then the structure would look like this:
 
@@ -46,13 +45,11 @@ genai/
     └── test_hello_world_examples.py
 ```
 
-
 Notable:
-*  The folder name and test file use the full feature name as `hello_world`
-*  The sample file use the feature `helloworld` but in a short condensed form.
-   (This is required for internal automation purposes.) 
+
+- The folder name and test file use the full feature name as `hello_world`
+- The sample file use the feature `helloworld` but in a short condensed form.
+  (This is required for internal automation purposes.)
 
 To improve your understanding, refer to the existing folders lik [count_tokens](../count_tokens) and
 [text_generation](../text_generation).
-
-## Deve