doc: update readme

README.md

@@ -37,7 +37,8 @@ On the official side, Google provides partially free, clean [official Gemini API
 ## Contents
 
 - [ Gemini API ](#-gemini-api---)
- - [What is Gemini? 🔐](#what-is-gemini)
+ - [What is Gemini? 🔒](#what-is-gemini)
+ - [What is Python-Gemini-API? 🔐](#what-is-python-gemini-api)
  - [Installation ✅](#installation-)
  - [Authentication ✅](#authentication)
  - [Quick Start ✅](#quick-start)
@@ -54,7 +55,8 @@ On the official side, Google provides partially free, clean [official Gemini API
  - [# 10. Changing the Selected Response from 0 to *n*](#-10-changing-the-selected-response-from-0-to-n)
  - [# 11. Generate custom content](#-11-generate-custom-content)
  - [Further](#further)
- - [Google Open-source LLMs](#google-open-source-llms)
+ - [Google Proprietary LLM, Gemini 🔒](#google-proprietary-llm-gemini)
+ - [Google Open-source LLMs 🤝](#google-open-source-llms)
  - [Open-source LLM, Gemma 🤝](#open-source-llm-gemma)
  - [Open-source LLM, Code Gemma 🤝](#open-source-llm-code-gemma)
  - [Utilize free open-source LLM API through Open Router ✅](#utilize-free-open-source-llm-api-through-open-router)
@@ -625,15 +627,38 @@ If you want to develop your own simple code, you can start from [this simple cod
 
 <br>
 
+---
+
+<br>
+
+## Google Proprietary LLM, [Gemini](https://gemini.google.com/app) 
+
+#### Official API
+
+Prepare necessary items and obtain an API key at [Google AI Studio](https://aistudio.google.com/app/apikey). Install on Python 3.9 or higher and enter the issued API key. Refer to the [tutorial](https://ai.google.dev/gemini-api/docs/get-started/python) for details.
+
+```
+pip install -q -U google-generativeai
+```
+```python
+import google.generativeai as genai
+
+GOOGLE_API_KEY="<your_gemini_api_key>"
+genai.configure(api_key=GOOGLE_API_KEY)
+
+model = genai.GenerativeModel('gemini-pro')
+response = model.generate_content("Write me a poem about Machine Learning.")
+
+print(response.text)
+```
+
 ## Google Open-source LLMs
 
 If you have sufficient GPU resources, you can download weights directly instead of using the Gemini API to generate content. Consider Gemma and Code Gemma, an open-source models **available for on-premises use**.
 
 
-
 ### Open-source LLM, [Gemma](https://huggingface.co/google/gemma-7b)
 
-
 Gemma models are Google's lightweight, advanced text-to-text, decoder-only language models, derived from Gemini research. Available in English, they offer open weights and variants, ideal for tasks like question answering and summarization. For more infomation, visit [Gemma-7b](https://huggingface.co/google/gemma-7b) model card.
 
 #### How to use Gemma
@@ -670,6 +695,10 @@ print(tokenizer.decode(outputs[0]))
 
 
 
+<br>
+
+---
+
 <br>
 
 
@@ -704,8 +733,6 @@ The free model list includes:
 
 
 
-
-
 <br>
 
 ## Sponsor