OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

Integrate the OpenAI (ChatGPT) API with the Python API

Setup the OpenAI (ChatGPT) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate OpenAI (ChatGPT) and Python remarkably fast. Free for developers.

Run Python Code with Python API on New File Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Python
 
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Run Python Code with Python API on New Fine Tuning Job Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Python
 
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Run Python Code with Python API on New Run State Changed from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Python
 
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New File Created from the OpenAI (ChatGPT) API

Emit new event when a new file is created in OpenAI. See the documentation

 
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New Fine Tuning Job Created from the OpenAI (ChatGPT) API

Emit new event when a new fine-tuning job is created in OpenAI. See the documentation

 
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New Run State Changed from the OpenAI (ChatGPT) API

Emit new event every time a run changes its status. See the documentation

 
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Chat with the OpenAI (ChatGPT) API

The Chat API, using the gpt-3.5-turbo or gpt-4 model. See docs here

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Summarize Text with the OpenAI (ChatGPT) API

Summarizes text using the Chat API

 
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Classify Items into Categories with the OpenAI (ChatGPT) API

Classify items into specific categories using the Chat API

 
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Translate Text (Whisper) with the OpenAI (ChatGPT) API

Translate text from one language to another using the Chat API

 
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Overview of OpenAI (ChatGPT)

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

  • Natural language understanding and sentiment analysis
  • Text-based search
  • Question answering
  • Dialogue systems and conversation agents
  • Intelligent text completion
  • Text summarization
  • Text classification
  • Machine translation
  • Language generation
  • Multi-factor authentication
  • Anomaly detection
  • Text analysis

Connect OpenAI (ChatGPT)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    openai: {
      type: "app",
      app: "openai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.openai.com/v1/models`,
      headers: {
        Authorization: `Bearer ${this.openai.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}