Merge branch 'main' of https://github.com/dsdanielpark/Gemini-API

README.md

@@ -37,27 +37,29 @@ On the official side, Google provides partially free, clean [official Gemini API
 ## Contents
 
 - [ Gemini API   ](#-gemini-api---)
-  - [What is Gemini? 🔐](#what-is-gemini)
-  - [Installation ✅](#installation-)
-  - [Authentication ✅](#authentication)
-  - [Quick Start ✅](#quick-start)
-  - [Usage](#usage)
-    - [# 01. Initialization ✅](#-01-initialization)
-    - [# 02. Generate content](#-02-generate-content)
-    - [# 03. Send request](#-03-send-request)
-    - [# 04. Text generation](#-04-text-generation)
-    - [# 05. Image generation](#-05-image-generation)
-    - [# 06. Retrieving Images from Gemini Responses](#-06-retrieving-images-from-gemini-responses)
-    - [# 07. Generate content from images](#-07-generate-content-from-images)
-    - [# 08. Generate content using Google Services](#-08-generate-content-using-google-services)
-    - [# 09. Fix context setting RCID](#-09-fix-context-setting-rcid)
-    - [# 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)
+  - [What is Gemini? 🔒](#what-is-gemini)
+  - [What is Python-Gemini-API? 🔐](#what-is-python-gemini-api)
+      - [Installation ✅](#installation-)
+      - [Authentication ✅](#authentication)
+      - [Quick Start ✅](#quick-start)
+      - [Usage](#usage)
+        - [# 01. Initialization ✅](#-01-initialization)
+        - [# 02. Generate content](#-02-generate-content)
+        - [# 03. Send request](#-03-send-request)
+        - [# 04. Text generation](#-04-text-generation)
+        - [# 05. Image generation](#-05-image-generation)
+        - [# 06. Retrieving Images from Gemini Responses](#-06-retrieving-images-from-gemini-responses)
+        - [# 07. Generate content from images](#-07-generate-content-from-images)
+        - [# 08. Generate content using Google Services](#-08-generate-content-using-google-services)
+        - [# 09. Fix context setting RCID](#-09-fix-context-setting-rcid)
+        - [# 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 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)
+  - [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
@@ -766,13 +793,6 @@ I do not plan to actively curate this repository. Please review [HanaokaYuzu/Gem
 Thank you, and have a great day.
 </details>
 
-## Contacts
-
-Core maintainers:
-- [Antonio Cheong](https://github.com/acheong08) / teapotv8@proton.me <br>
-- [Daniel Park](https://github.com/DSDanielPark) / parkminwoo1991@gmail.com
-
-
 
 ## License ©️ 
 [MIT](https://opensource.org/license/mit/) license, 2024. We hereby strongly disclaim any explicit or implicit legal liability related to our works. Users are required to use this package responsibly and at their own risk. This project is a personal initiative and is not affiliated with or endorsed by Google. It is recommended to use Google's official API.

documents/README_DEV.md

@@ -137,4 +137,9 @@ Write a rough draft of the Gemini API release notes.
 
 #### v2.4.8
 - Add verification(`verify`) argument in `Gemini` class.
-- Add cookies argument in `GeminiImage` class.
+- Add cookies argument in `GeminiImage` class.
+
+#### v2.4.9 ~ v2.4.11
+- Writes mostly private test code for errors and tests functionality.
+- Rechecks robust implementation of parsing methods.
+- Preparing to upgrade to major version three after a small patch.