How to Use OpenAI API in Python(openai key export)
怎样使用OpenAI API导出API密钥
OpenAI API是一种强大的工具，可以用于开发和构建使人惊叹的智能利用。要开始使用OpenAI API，您需要首先导出API密钥。本文将向您展现怎样使用区别的方法来导出OpenAI API密钥。
1. 在终端中运行以下命令，将yourkey替换为您的API密钥：
- 履行命令：echo “export OPENAI_API_KEY=’yourkey'” >> ~/.zshrc
要点1：使用echo命令并将API密钥写入.zshrc文件中。
要点2：确保替换yourkey为您的实际API密钥。
2. 更新shell环境：
- 履行命令：source ~/.zshrc
要点1：使用source命令以使更改生效。
要点2：确保更新.zshrc文件。
3. 将API密钥添加到系统环境变量：
- 要点1：打开https://platform.openai.com
- 要点2：创建一个账户（如果您还没有）
- 要点3：点击“API密钥”
- 要点4：获得您的OpenAI密钥
4. 设置openai.api_key变量：
- 履行命令：export OPENAI_API_KEY=’sk-…’
要点1：使用export命令设置OPENAI_API_KEY变量。
要点2：将’sk-…’替换为您的实际API密钥。
5. 在Python中直接设置API密钥：
- 要点1：导入openai模块
- 要点2：设置api_key路径或直接在代码中设置api_key值
使用以上方法，您可以轻松地导出OpenAI API密钥，并开始使用OpenAI API进行开发和构建使人惊叹的智能利用。
openai key export的进一步展开说明
Title: OpenAI API: Enhancing Your Code’s Language Understanding Abilities
Introduction:
– Introduce the importance of generating desired results from code and improving its natural language processing capabilities.
– Mention OpenAI API as the solution to enhance code’s language understanding abilities.
Section 1: What is OpenAI?
– Provide a brief overview of OpenAI as an artificial intelligence research laboratory.
– Mention the organization’s goal of advancing AI for the benefit of humanity.
– Highlight OpenAI’s research areas, including natural language processing, robotics, and machine learning.
– Mention notable projects such as GPT⑶ and DALL-E.
Section 2: Understanding the OpenAI API
– Explain that the OpenAI API provides powerful natural language processing capabilities to code.
– Describe the different language models offered by the OpenAI API.
– Highlight use cases and functionalities of the OpenAI API.
Subsection 2.1: Text Generation Using GPT
– Provide an overview of GPT⑷ as a powerful language model for generating human-like text.
– Mention various applications such as text completion, text classification, language translation, question answering, text summarization, and language generation.
Subsection 2.2: Image Generation Using DALL-E
– Explain how DALL-E can generate high-quality images from textual descriptions.
– Highlight its capabilities in generating objects, scenes, and creatures for creative applications.
Subsection 2.3: Understanding Images Using CLIP
– Describe CLIP as a language model that can understand both textual and visual information.
– Explain its applications in image classification, object detection, shape detection, and computer vision tasks.
Subsection 2.4: Speech to Text Conversion Using Whisper
– Introduce Whisper as a deep learning-based speech recognition system.
– Explain its capability to transcribe audio files into text.
Subsection 2.5: Programming Using Codex
– Mention Codex as a language model specialized in understanding natural language descriptions of code.
– Highlight its ability to generate code snippets in various programming languages.
Section 3: Setting up the OpenAI API in Python
– Provide step-by-step instructions for setting up an OpenAI account, creating an API key, and installing the OpenAI Python package.
– Explain the importance of authenticating the API key and provide options for secure key storage.
Section 4: Sending Requests to OpenAI API in Python
– Explain how to send a request to the OpenAI API using Python.
– Describe the required parameters and their functionalities.
– Show an example code snippet for sending a request and accessing the generated completions.
Section 5: Handling OpenAI API Responses in Python
– Explain the structure of the response object received from the OpenAI API.
– Provide guidance on accessing the generated completions and other metadata.
– Show an example of accessing the generated completions from the response object.
Section 6: Using the ChatGPT API in Python
– Explain the workflow for using the ChatGPT API.
– Describe the steps involved in creating an OpenAI API client, generating natural language responses, and processing the response.
– Provide a code snippet demonstrating the usage of the ChatGPT API.
Section 7: Using Codex to Convert Natural Language to Code
– Explain the two ways of using Codex in OpenAI Python library: using the OpenAI Completion function with engine set to davinci-codex and using the OpenAI Code function.
– Provide example code snippets for generating Python code from natural language using Codex.
Section 8: Using DALL-E to Generate Images
– Provide an example of how to generate an image using the DALL-E OpenAI Python library.
– Explain the steps involved in generating and displaying the image.
Conclusion:
– Recap the key points discussed in the article, including the capabilities of the OpenAI API and its use cases.
– Encourage readers to start using the OpenAI API in their projects to enhance their code’s natural language processing abilities.
openai key export的常见问答Q&A
问题1：如何安全使用API Key？
答案：使用API Key的最好实践包括以下步骤：
- 将OpenAI API Key添加到系统环境中。
- 确保API Key的安全性。
- 在代码中使用API Key。
- 定期更新API Key。
- 限制API Key的权限。
具体解释和示例：
要将OpenAI API Key添加到系统环境变量中，可以依照以下步骤进行：
- 在终端中运行以下命令，将”yourkey”替换为您的API Key：
echo “export OPENAI_API_KEY=’yourkey'” >> ~/.zshrc - 更新终端以使更改生效。
通过将API Key添加到系统环境变量中，可以轻松在代码中使用它，而没必要直接在代码中硬编码。
其他相关信息：
为确保API Key的安全性，应采取以下预防措施：
- 不要将API Key直接发布到公共代码存储库或公共网站上。
- 定期更换API Key以免潜伏的安全风险。
- 限制API Key的权限，仅允许其履行必要的操作。
问题2：怎样在Python中使用OpenAI API？
答案：要在Python中使用OpenAI API，可以依照以下步骤进行：
- 获得官方OpenAI API Key。
- 将API Key添加到系统环境变量中。
- 在Python代码中导入OpenAI模块。
- 将API Key与OpenAI模块关联。
- 使用OpenAI API进行相关操作。
具体解释和示例：
要获得官方OpenAI API Key，可以参考以下步骤：
- 访问https://platform.openai.com。
- 创建一个OpenAI账号（如果还没有具有）。
- 登录OpenAI账号。
- 在OpenAI账号的API Keys页面获得API Key。
要将API Key添加到系统环境变量中，请履行以下操作：
- 在终端中运行以下命令，将”
“替换为实际的API Key：
export OPENAI_API_KEY=<your-api-key> - 使用source命令或重新打开终端以使更改生效。
在Python代码中，您可使用以下示例代码导入OpenAI模块并将API Key与模块关联：
import openai
openai.api_key = "your-api-key"
然后，您就能够使用OpenAI API进行各种相应的操作。
其他相关信息：
如果您不希望将API Key直接写入Python代码中，可以将其存储在文件中，并使用文件路径来指定API Key的位置。
问题3：如何获得OpenAI的官方API Key？
答案：要获得OpenAI的官方API Key，可以参考以下步骤：
- 访问https://platform.openai.com/account/api-keys。
- 登录您的OpenAI账号。
- 在API Keys页面获得您的API Key。
具体解释和示例：
要获得OpenAI的官方API Key，您需要先创建一个OpenAI账号。然后，依照以下步骤获得API Key：
- 打开https://platform.openai.com。
- 在右上角点击”Sign in”按钮以登录您的OpenAI账号。
- 登录成功后，页面将跳转至OpenAI的控制面板。
- 在控制面板中，点击”API Keys”选项卡。
- 您将看到已创建的API Keys列表，您可以在此处找到您的官方API Key。
其他相关信息：
请确保您妥善保管API Key，并避免直接将其发布到公共代码存储库或公共网站上，以确保API Key的安全性。
