Classify Image with Roboflow API on New Fine Tuning Job Created from OpenAI (ChatGPT) API

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

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Classify Image with the Roboflow API

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Getting Started#

This integration creates a workflow with a OpenAI (ChatGPT) trigger and Roboflow action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Fine Tuning Job Created trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
Configure the Classify Image action
1. Connect your Roboflow account
2. Select a Project
3. Select a Dataset
4. Optional- Configure File Path
5. Optional- Configure File URL
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Fine Tuning Job Created on OpenAI (ChatGPT)

Description:Emit new event when a new fine-tuning job is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/list)

Version:0.0.10

Key:openai-new-fine-tuning-job-created

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Trigger Code#

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "openai-new-fine-tuning-job-created",
  name: "New Fine Tuning Job Created",
  description: "Emit new event when a new fine-tuning job is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/list)",
  version: "0.0.10",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getData() {
      return this.openai.listFineTuningJobs();
    },
    getMeta(item) {
      return {
        id: item.id,
        summary: `New Fine Tuning Job: ${item.id}`,
        ts: item.created_at * 1000,
      };
    },
  },
  sampleEmit,
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

OpenAI (ChatGPT) uses API keys for authentication. When you connect your OpenAI (ChatGPT) account, Pipedream securely stores the keys so you can easily authenticate to OpenAI (ChatGPT) APIs in both code and no-code steps.

About 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.

Action#

Classify Image on Roboflow

Description:Run inference on classification models hosted on Roboflow. [See the documentation](https://docs.roboflow.com/deploy/hosted-api/classification).

Version:0.0.1

Key:roboflow-classify-image

View on GitHub

Roboflow Overview#

The Roboflow API is a robust machine learning interface that allows developers to upload, annotate, train, and deploy computer vision models. Using Pipedream, you can create powerful, serverless workflows to automate tasks involving image and video processing. With the API, you can programmatically manage datasets, kick off model training, and utilize trained models to analyze new data.

Action Code#

import roboflow from "../../roboflow.app.mjs";
import { ConfigurationError } from "@pipedream/platform";
import fs from "fs";

export default {
  key: "roboflow-classify-image",
  name: "Classify Image",
  description: "Run inference on classification models hosted on Roboflow. [See the documentation](https://docs.roboflow.com/deploy/hosted-api/classification).",
  version: "0.0.1",
  type: "action",
  props: {
    roboflow,
    projectId: {
      propDefinition: [
        roboflow,
        "projectId",
      ],
    },
    datasetId: {
      propDefinition: [
        roboflow,
        "datasetId",
        (c) => ({
          projectId: c.projectId,
        }),
      ],
    },
    filePath: {
      propDefinition: [
        roboflow,
        "filePath",
      ],
    },
    fileUrl: {
      propDefinition: [
        roboflow,
        "fileUrl",
      ],
    },
  },
  async run({ $ }) {
    if ((!this.filePath && !this.fileUrl) || (this.filePath && this.fileUrl)) {
      throw new ConfigurationError("Exactly one of file Path or File URL must be specified.");
    }

    const args = {
      datasetId: this.datasetId,
      $,
    };

    if (this.filePath) {
      args.data = fs.readFileSync(this.filePath, {
        encoding: "base64",
      });
      args.headers = {
        "Content-Type": "application/x-www-form-urlencoded",
      };
    }
    if (this.fileUrl) {
      args.params = {
        image: this.fileUrl,
      };
    }

    const response = await this.roboflow.classifyImage(args);

    if (!response?.error) {
      $.export("$summary", "Successfully classified image.");
    }

    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Roboflow	`roboflow`	`app`	This component uses the Roboflow app.
Project	`projectId`	`string`	Select a value from the drop down menu.
Dataset	`datasetId`	`string`	Select a value from the drop down menu.
File Path	`filePath`	`string`	The path to the image file saved to the `/tmp` directory (e.g. `/tmp/image.png`). See the documentation.
File URL	`fileUrl`	`string`	The URL of the image file

Action Authentication#

Roboflow uses API keys for authentication. When you connect your Roboflow account, Pipedream securely stores the keys so you can easily authenticate to Roboflow APIs in both code and no-code steps.

To retrieve your Private API Key,