Analyze Image Content with OpenAI (ChatGPT) API on New Item in Feed from RSS API

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New Item in Feed from the RSS API

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Analyze Image Content with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Item in Feed trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URL
4. Configure Published After
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
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 Item in Feed on RSS

Description:Emit new items from an RSS feed

Version:1.2.7

Key:rss-new-item-in-feed

View on GitHub

RSS Overview#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Trigger Code#

import { defineSource } from "@pipedream/types";
import rss from "../../app/rss.app.mjs";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-in-feed",
    name: "New Item in Feed",
    description: "Emit new items from an RSS feed",
    version: "1.2.7",
    type: "source",
    dedupe: "unique",
    props: {
        ...rssCommon.props,
        url: {
            propDefinition: [
                rss,
                "url",
            ],
        },
        publishedAfter: {
            type: "string",
            label: "Published After",
            description: "Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`",
            default: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(), // default to one day ago
        },
    },
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            await this.rss.fetchAndParseFeed(this.url);
        },
    },
    methods: {
        ...rssCommon.methods,
        generateMeta: function (item) {
            return {
                id: this.rss.itemKey(item),
                summary: item.title,
                ts: Date.now(),
            };
        },
    },
    async run() {
        const items = await this.rss.fetchAndParseFeed(this.url);
        for (const item of items.reverse()) {
            const publishedAfter = +new Date(this.publishedAfter);
            const ts = this.rss.itemTs(item);
            if (Number.isNaN(publishedAfter) || publishedAfter > ts) {
                continue;
            }
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        }
    },
});

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
RSS	`rss`	`app`	This component uses the RSS app.
	`timer`	`$.interface.timer`	How often you want to poll the feed for new items
Feed URL	`url`	`string`	Enter the URL for any public RSS feed
Published After	`publishedAfter`	`string`	Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`

Trigger Authentication#

The RSS API does not require authentication.

About RSS#

Real Simple Syndication

Action#

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

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:

Action 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,
    };
  },
};

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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Message	`message`	`string`	The message or question to send
Image URL	`imageUrl`	`string`	The URL of the image to analyze. Must be a supported image types: jpeg, jpg, png, gif, webp
File ID	`imageFileId`	`string`	Select a value from the drop down menu.
File Path	`filePath`	`string`	The path to a file in the `/tmp` directory. See the documentation on working with files

Analyze Image Content with OpenAI (ChatGPT) API on New Item in Feed from RSS API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), RSS and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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