To connect to the Gemini 1.5 Pro API, obtain your API key from Google AI for Developers, install the necessary Python libraries, and send requests and receive responses from the Gemini 1.5 Pro model. May 27, 2024 · 8 min read Contents The Gemini Family Gemini 1.5 Pro Capabilities Gemini ...
我正在尝试阅读 jupyter 笔记本教程: https://ai.google.dev/gemini-api/docs/get-started/tutorial?l&lang=python 当我运行 Google Colab 笔记本时,一切正常,就像应该的那样。但是当我尝试在本地主机上运行它时,出现了错误(可能与环境有关,但我无法指定到底是什么) 也许你会以某种方式帮助我。 我在列出模型的...
In this tutorial, we will explore the Google Gemini API, which allows you to create advanced AI-based applications. By leveraging its powerful capabilities, you can easily incorporate both text and image inputs to generate precise and contextually relevant outputs. Gemini Python API simplifies integr...
There are so many advanced functions that we didn't cover in this introductory tutorial. You can learn more about the Gemini API by going to theGemini API: Quickstart with Python. In this tutorial, we have learned about Gemini and how to access the Python API to generate responses. In par...
export GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"启动 Jupyter Notebook 并开始编写代码。步骤 2：导入模块 首先导入必要的 Python 模块。这些导入包括来自 LangChain 和 Google Generative AI 的类和函数，它们对于构建我们的应用程序至关重要。在继续之前，请确保在 Python 环境中安装了这些库。from langchain_google_...
Examples and guides for using the Gemini API. Contribute to google-gemini/cookbook development by creating an account on GitHub.
https://docs.opencv.org/4.x/d4/d65/tutorial_orbbec_astra.html 这个文档是我们的奥比的文档 夸我,在搞这个之前我们看看看别的 在上篇文章的库里面出现大量的这个库的引用, https://pypi.org/project/primesense/ 啥文档也没有; 有事滚去API,呜呜呜 ...
uses Gemini; var Gemini := TGeminiFactory.CreateInstance(API_KEY); Warning To use the examples provided in this tutorial, especially to work with asynchronous methods, I recommend defining the Gemini interface with the widest possible scope. So, set Gemini := TGeminiFactory.CreateInstance(My_Key...
https://docs.opencv.org/4.x/d4/d65/tutorial_orbbec_astra.html 这个文档是我们的奥比的文档 夸我,在搞这个之前我们看看看别的 在上篇文章的库里面出现大量的这个库的引用, https://pypi.org/project/primesense/ 啥文档也没有; 有事滚去API,呜呜呜 ...
python -m venv venv source venv/bin/activate 使用以下内容创建 requirements.txt 文件: google.generativeai langchain-google-genai langchain langchain_communityjupyterpip install -r requirements.txt 设置一个环境变量,以便从代码中隐式访问 API 密钥。