← OpenAI (ChatGPT)

Analyze Image Content with OpenAI (ChatGPT) API

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Analyze Image Content with the OpenAI (ChatGPT) API
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Getting Started

Create a workflow to Analyze Image Content with the OpenAI (ChatGPT) API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Analyze Image Content action
    1. Connect your OpenAI (ChatGPT) account
    2. Configure Message
    3. Optional- Configure Image URL
    4. Optional- Select a File ID
    5. Optional- Configure File Path
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

Integrations

Analyze Image Content with OpenAI (ChatGPT) API on New Requests (Payload Only) from HTTP / Webhook API
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Analyze Image Content with OpenAI (ChatGPT) API on New Submission (Instant) from Jotform API
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Analyze Image Content with OpenAI (ChatGPT) API on New Scheduled Tasks from Pipedream API
Pipedream + OpenAI (ChatGPT)
 
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Analyze Image Content with OpenAI (ChatGPT) API on npm Download Counts from npm API
npm + OpenAI (ChatGPT)
 
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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Analyze Image Content on OpenAI (ChatGPT)
Description:Send a message or question about an image and receive a response. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)
Version:0.1.2
Key:openai-analyze-image-content

Code

import openai from "../../openai.app.mjs";
import common from "../common/common-assistants.mjs";
import FormData from "form-data";
import fs from "fs";

export default {
  ...common,
  key: "openai-analyze-image-content",
  name: "Analyze Image Content",
  description: "Send a message or question about an image and receive a response. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)",
  version: "0.1.2",
  type: "action",
  props: {
    openai,
    message: {
      type: "string",
      label: "Message",
      description: "The message or question to send",
    },
    imageUrl: {
      type: "string",
      label: "Image URL",
      description: "The URL of the image to analyze. Must be a supported image types: jpeg, jpg, png, gif, webp",
      optional: true,
    },
    imageFileId: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "vision",
        }),
      ],
      optional: true,
    },
    filePath: {
      type: "string",
      label: "File Path",
      description: "The path to a file in the `/tmp` directory. [See the documentation on working with files](https://pipedream.com/docs/code/nodejs/working-with-files/#writing-a-file-to-tmp)",
      optional: true,
    },
  },
  async run({ $ }) {
    const { id: assistantId } = await this.openai.createAssistant({
      $,
      data: {
        model: "gpt-4o", // replaced from "gpt-4-vision-preview" - see https://platform.openai.com/docs/deprecations
      },
    });

    const data = {
      assistant_id: assistantId,
      thread: {
        messages: [
          {
            role: "user",
            content: [
              {
                type: "text",
                text: this.message,
              },
            ],
          },
        ],
      },
      model: this.model,
    };
    if (this.imageUrl) {
      data.thread.messages[0].content.push({
        type: "image_url",
        image_url: {
          url: this.imageUrl,
        },
      });
    }
    if (this.imageFileId) {
      data.thread.messages[0].content.push({
        type: "image_file",
        image_file: {
          file_id: this.imageFileId,
        },
      });
    }
    if (this.filePath) {
      const fileData = new FormData();
      const content = fs.createReadStream(this.filePath.includes("tmp/")
        ? this.filePath
        : `/tmp/${this.filePath}`);
      fileData.append("purpose", "vision");
      fileData.append("file", content);

      const { id } = await this.openai.uploadFile({
        $,
        data: fileData,
        headers: fileData.getHeaders(),
      });

      data.thread.messages[0].content.push({
        type: "image_file",
        image_file: {
          file_id: id,
        },
      });
    }

    let run;
    run = await this.openai.createThreadAndRun({
      $,
      data,
    });
    const runId = run.id;
    const threadId = run.thread_id;

    run = await this.pollRunUntilCompleted(run, threadId, runId, $);

    // get response;
    const { data: messages } = await this.openai.listMessages({
      $,
      threadId,
      params: {
        order: "desc",
      },
    });
    const response = messages[0].content[0].text.value;
    return {
      response,
      messages,
      run,
    };
  },
};

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.
LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
Messagemessagestring

The message or question to send

Image URLimageUrlstring

The URL of the image to analyze. Must be a supported image types: jpeg, jpg, png, gif, webp

File IDimageFileIdstringSelect a value from the drop down menu.
File PathfilePathstring

The path to a file in the /tmp directory. See the documentation on working with files

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.

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

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New Run State Changed from the OpenAI (ChatGPT) API

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Actions

Chat with the OpenAI (ChatGPT) API

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

 
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Summarize Text with the OpenAI (ChatGPT) API

Summarizes text using the Chat API. See the documentation

 
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Classify Items into Categories with the OpenAI (ChatGPT) API

Classify items into specific categories using the Chat API. See the documentation

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

Translate text from one language to another using the Chat API. See the documentation

 
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Create Transcription (Whisper) with the OpenAI (ChatGPT) API

Transcribes audio into the input language. See the documentation.

 
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