Summarize Text with TextCortex API on New Email from Email API

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Trigger workflow on

New Email from the Email API

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Summarize Text with the TextCortex API

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Getting Started#

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

Select this integration
Configure the New Email trigger
1. Connect your Email account
Configure the Summarize Text action
1. Connect your TextCortex account
2. Optional- Configure File ID
3. Optional- Configure Max Tokens
4. Optional- Select a Mode
5. Optional- Select a Model
6. Optional- Configure N
7. Optional- Select a Source Language
8. Optional- Select a Target Language
9. Optional- Configure Temperature
10. Optional- Configure Text
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 Email on Email

Description:Get a unique address where you can send emails to trigger your workflow.

Version:0.0.1

Key:email-new-email

View on GitHub

Trigger Code#

import email from "../../email.app.mjs";

export default {
  name: "New Email",
  version: "0.0.1",
  key: "email-new-email",
  description: "Get a unique address where you can send emails to trigger your workflow.",
  props: {
    email,
  },
  type: "source",
  methods: {},
  async run() {},
};

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
Email	`email`	`app`	This component uses the Email app.

Trigger Authentication#

The Email API does not require authentication.

About Email#

Trigger workflows on new emails, and send emails to yourself as part of a Pipedream workflow.

Action#

Summarize Text on TextCortex

Description:Summarize given text. The text can be provided as a string or as a file ID. [See the documentation](https://docs.textcortex.com/api/paths/texts-summarizations/post)

Version:0.0.1

Key:textcortex-summarize-text

View on GitHub

TextCortex Overview#

The TextCortex API enables automated creation of human-like text, making it a powerful tool for a variety of text generation tasks like drafting emails, creating content, or generating product descriptions. With Pipedream, you can integrate TextCortex into serverless workflows to harness AI writing assistance, trigger content creation based on events, or enhance data with generated text. The API's capability enhances automation and can be combined with other apps for more complex tasks.

Action Code#

import app from "../../textcortex.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "textcortex-summarize-text",
  name: "Summarize Text",
  description: "Summarize given text. The text can be provided as a string or as a file ID. [See the documentation](https://docs.textcortex.com/api/paths/texts-summarizations/post)",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    fileId: {
      type: "string",
      label: "File ID",
      description: "The ID of the file to summarize. **string<uuid>** Example: `8a0cfb4f-ddc9-436d-91bb-75133c583767`",
      optional: true,
    },
    maxTokens: {
      propDefinition: [
        app,
        "maxTokens",
      ],
    },
    mode: {
      type: "string",
      label: "Mode",
      description: "The summarization mode.",
      options: Object.values(constants.SUMMARIZE_MODE),
      optional: true,
    },
    model: {
      optional: true,
      propDefinition: [
        app,
        "model",
      ],
    },
    n: {
      propDefinition: [
        app,
        "n",
      ],
    },
    sourceLang: {
      propDefinition: [
        app,
        "sourceLang",
      ],
    },
    targetLang: {
      propDefinition: [
        app,
        "targetLang",
      ],
    },
    temperature: {
      propDefinition: [
        app,
        "temperature",
      ],
    },
    text: {
      description: "The text to summarize.",
      optional: true,
      propDefinition: [
        app,
        "text",
      ],
    },
  },
  methods: {
    summarizeText(args = {}) {
      return this.app.post({
        path: "/texts/summarizations",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      summarizeText,
      fileId,
      maxTokens,
      model,
      mode,
      n,
      sourceLang,
      targetLang,
      temperature,
      text,
    } = this;

    const response = await summarizeText({
      step,
      data: {
        file_id: fileId,
        max_tokens: maxTokens,
        model,
        mode,
        n,
        source_lang: sourceLang,
        target_lang: targetLang,
        temperature,
        text,
      },
    });

    step.export("$summary", `Successfully summarized with status \`${response.status}\``);

    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
TextCortex	`app`	`app`	This component uses the TextCortex app.
File ID	`fileId`	`string`	The ID of the file to summarize. string<uuid> Example: `8a0cfb4f-ddc9-436d-91bb-75133c583767`
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate.
Mode	`mode`	`string`	Select a value from the drop down menu:`defaultembeddings`
Model	`model`	`string`	Select a value from the drop down menu:`velox-1aecus-1alta-1sophos-1chat-sophos-1`
N	`n`	`integer`	The number of outputs to generate.
Source Language	`sourceLang`	`string`	Select a value from the drop down menu:`{ "label": "English (Default)", "value": "en" }{ "label": "The API will attempt to detect the language of the text and translate it.", "value": "auto" }{ "label": "Bulgarian", "value": "bg" }{ "label": "Czech", "value": "cs" }{ "label": "Danish", "value": "da" }{ "label": "German", "value": "de" }{ "label": "Greek", "value": "el" }{ "label": "Spanish", "value": "es" }{ "label": "Estonian", "value": "et" }{ "label": "Finnish", "value": "fi" }{ "label": "French", "value": "fr" }{ "label": "Hungarian", "value": "hu" }{ "label": "Indonesian", "value": "id" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Lithuanian", "value": "lt" }{ "label": "Latvian", "value": "lv" }{ "label": "Norwegian", "value": "nb" }{ "label": "Dutch", "value": "nl" }{ "label": "Polish", "value": "pl" }{ "label": "Portuguese (all Portuguese varieties mixed)", "value": "pt" }{ "label": "Romanian", "value": "ro" }{ "label": "Russian", "value": "ru" }{ "label": "Slovak", "value": "sk" }{ "label": "Slovenian", "value": "sl" }{ "label": "Swedish", "value": "sv" }{ "label": "Turkish", "value": "tr" }{ "label": "Ukrainian", "value": "uk" }{ "label": "Chinese", "value": "zh" }`
Target Language	`targetLang`	`string`	Select a value from the drop down menu:`{ "label": "English (Default)", "value": "en" }{ "label": "The API will attempt to detect the language of the text and translate it.", "value": "auto" }{ "label": "Bulgarian", "value": "bg" }{ "label": "Czech", "value": "cs" }{ "label": "Danish", "value": "da" }{ "label": "German", "value": "de" }{ "label": "Greek", "value": "el" }{ "label": "Spanish", "value": "es" }{ "label": "Estonian", "value": "et" }{ "label": "Finnish", "value": "fi" }{ "label": "French", "value": "fr" }{ "label": "Hungarian", "value": "hu" }{ "label": "Indonesian", "value": "id" }{ "label": "Italian", "value": "it" }{ "label": "Japanese", "value": "ja" }{ "label": "Korean", "value": "ko" }{ "label": "Lithuanian", "value": "lt" }{ "label": "Latvian", "value": "lv" }{ "label": "Norwegian", "value": "nb" }{ "label": "Dutch", "value": "nl" }{ "label": "Polish", "value": "pl" }{ "label": "Portuguese (all Portuguese varieties mixed)", "value": "pt" }{ "label": "Romanian", "value": "ro" }{ "label": "Russian", "value": "ru" }{ "label": "Slovak", "value": "sk" }{ "label": "Slovenian", "value": "sl" }{ "label": "Swedish", "value": "sv" }{ "label": "Turkish", "value": "tr" }{ "label": "Ukrainian", "value": "uk" }{ "label": "Chinese", "value": "zh" }`
Temperature	`temperature`	`string`	The sampling temperature to be used in text generation. The higher the temperature, the higher the risk of the output to sound "made up".
Text	`text`	`string`	The text to summarize.