在demo.py中,调用gemini-pro-vision多模态模型 importgoogle.generativeaiasgenaiimportPIL.ImageGOOGLE_API_KEY='API_Key'genai.configure(api_key=GOOGLE_API_KEY)model=genai.GenerativeModel('gemini-pro-vision')img=PIL.Image.open('cat.jpg')response=model.generate_content(img)print(response.text) 成功得到...
配置Gemini API密钥: 设定了一个变量gemini_api_secret_name来存储API密钥的名称。 使用userdata.get方法从Colab的用户数据中获取Gemini API密钥。 初始化Gemini模型: 使用genai.GenerativeModel('gemini-pro')初始化Gemini模型,允许代码进行自然语言生成操作。 开始聊天会话: 定义了一个空列表messages来存储聊天信息。 使...
Google announced on Wednesday its latest AI model suite, Gemini 2.0, is available to everyone from that day. The launch includes three different models: Gemini 2.0 Flash for general use that offers an access to a 1 million token context window for up to 1,500 pages of file uploads, Gemini...
Google announced on Wednesday its latest AI model suite, Gemini 2.0, is available to everyone from that day. The launch includes three different models: Gemini 2.0 Flash for general use that offers an access to a 1 million token context window for up to 1,500 pages of file uploads, Gemini...
GOOGLE_API_KEY = api_creds['gemini_key'] 下一步是通过 API 创建与 Gemini Pro 模型的连接,如下所示,您首先需要使用 API 设置配置,然后加载模型(或者更确切地说,创建与 Google 服务器上的模型的连接)。 importgoogle.generativeai as genai genai.configure(api_key=GOOGLE_API_KEY)model = genai.Generative...
12月13日,开发者终于可以通过API在应用程序中接入Gemini Pro。 本期视频分享: 1. 如何创建Google API Key 2. 如何利用Google Generative AI SDK调用Gemini API 3. 如何利用LangChain框架集成Gemini API 源代码 https://github.com/sugarforever/LangChain-Tutorials/blob/main/LangChain_Google_Gemini_API.ipynb ...
To access Gemini extensions in API, you must activate them on the Gemini website first. Same as image generation, Google also has limitations on the availability of Gemini extensions. Here's a summary copied from official documentation (as of February 18th, 2024): To use extensions in Gemini...
Get started with the Gemini API The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, code, and audio. You can use these to develop a range of applications...
API Version apiVersion True string API version, Eg- 'v1beta'. Model Name modelName True string Model name, Eg- 'gemini-pro'. Role role string The producer of the content. Must be either 'user' or 'model' Text text string Required. Text content to be processed. Category category str...
Tutorial: Using Gemini Code Assist for API lifecycle management Tutorial: Building and deploying your first API proxy Overview Step 1: Create an Apigee workspace Step 2: Create an API proxy Step 3: Configure and deploy an environment Step 4: Test your API Step 5: Change your target endpoint...