← Twilio + TextCortex integrations

Create Social Media Post with TextCortex API on New Transcript Created from Twilio API

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New Transcript Created from the Twilio API
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Create Social Media Post with the TextCortex API
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Getting Started

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

  1. Select this integration
  2. Configure the New Transcript Created trigger
    1. Connect your Twilio account
    2. Configure Polling schedule
    3. Optional- Configure Include Transcript Text?
  3. Configure the Create Social Media Post action
    1. Connect your TextCortex account
    2. Configure Context
    3. Optional- Configure Keywords
    4. Optional- Configure Max Tokens
    5. Select a Mode
    6. Optional- Select a Model
    7. Optional- Configure N
    8. Optional- Select a Source Language
    9. Optional- Select a Target Language
    10. Optional- Configure Temperature
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when a new call transcript is created
Version:0.0.1
Key:twilio-new-transcript-created

Twilio Overview

Twilio's API on Pipedream opens up a multitude of communication capabilities, allowing you to build robust, scalable, and automated workflows. With Twilio, you can send and receive SMS and MMS messages, make voice calls, and perform other communication functions programmatically. Leveraging Pipedream's seamless integration, you can connect these communications features with hundreds of other services to automate notifications, streamline customer interactions, and enhance operational efficiency.

Trigger Code

import common from "../common/common-polling.mjs";

export default {
  ...common,
  key: "twilio-new-transcript-created",
  name: "New Transcript Created",
  description: "Emit new event when a new call transcript is created",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    includeTranscriptText: {
      propDefinition: [
        common.props.twilio,
        "includeTranscriptText",
      ],
    },
  },
  methods: {
    ...common.methods,
    async listResults(...args) {
      const results = await this.twilio.listTranscripts(...args);
      if (!this.includeTranscriptText) {
        return results;
      }
      const transcripts = [];
      for (const result of results) {
        const {
          sentences, transcript,
        } = await this.twilio.getSentences(result.sid);
        transcripts.push({
          ...result,
          sentences,
          transcript,
        });
      }
      return transcripts;
    },
    generateMeta(transcript) {
      const {
        sid: id,
        dateCreated,
      } = transcript;
      return {
        id,
        summary: `New transcript ${id}`,
        ts: Date.parse(dateCreated),
      };
    },
  },
};

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.
LabelPropTypeDescription
TwiliotwilioappThis component uses the Twilio app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling scheduletimer$.interface.timer

Pipedream polls Twilio for events on this schedule.

Include Transcript Text?includeTranscriptTextboolean

Set to true to include the transcript sentences in the response

Trigger Authentication

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

To connect your Twilio account to Pipedream,

API Key and API Key SID

First, create an API key in Twilio.

  • There are three types of keys: Main, Standard, and Restricted. You'll need a Main key to interact with certain API endpoints, like /Accounts.
  • If you don't need to interact with those endpoints, you can use a Standard or Restricted key.

After creating your key, you'll see fields for Sid and Secret. Enter those in the fields below.

Account SID and Auth Token

Visit your Twilio Dashboard. You'll see your Account SID and Auth Token under Account info.

About Twilio

Twilio is a cloud communications platform for building SMS, Voice & Messaging applications on an API built for global scale.

Action

Description:Create a social media post. [See the documentation](https://docs.textcortex.com/api/paths/texts-social-media-posts/post)
Version:0.0.1
Key:textcortex-create-social-media-post

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-create-social-media-post",
  name: "Create Social Media Post",
  description: "Create a social media post. [See the documentation](https://docs.textcortex.com/api/paths/texts-social-media-posts/post)",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    context: {
      type: "string",
      label: "Context",
      description: "The context of the social media post.",
    },
    keywords: {
      type: "string[]",
      label: "Keywords",
      description: "Keywords to be included in the post.",
      optional: true,
    },
    maxTokens: {
      propDefinition: [
        app,
        "maxTokens",
      ],
    },
    mode: {
      type: "string",
      label: "Mode",
      description: "The platform, e.g. `twitter` to generate a Tweet. Allowed values: `twitter`, `linkedin`",
      options: Object.values(constants.SOCIAL_MEDIA_MODE),
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    n: {
      propDefinition: [
        app,
        "n",
      ],
    },
    sourceLang: {
      propDefinition: [
        app,
        "sourceLang",
      ],
    },
    targetLang: {
      propDefinition: [
        app,
        "targetLang",
      ],
    },
    temperature: {
      propDefinition: [
        app,
        "temperature",
      ],
    },
  },
  methods: {
    createSocialMediaPost(args = {}) {
      return this.app.post({
        path: "/texts/social-media-posts",
        ...args,
      });
    },
  },
  async run({ $: step }) {
    const {
      createSocialMediaPost,
      context,
      keywords,
      maxTokens,
      mode,
      model,
      n,
      sourceLang,
      targetLang,
      temperature,
    } = this;

    const response = await createSocialMediaPost({
      step,
      data: {
        context,
        keywords,
        max_tokens: maxTokens,
        mode,
        model,
        n,
        source_lang: sourceLang,
        target_lang: targetLang,
        temperature,
      },
    });

    step.export("$summary", `Successfully created social media post with status \`${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.

LabelPropTypeDescription
TextCortexappappThis component uses the TextCortex app.
Contextcontextstring

The context of the social media post.

Keywordskeywordsstring[]

Keywords to be included in the post.

Max TokensmaxTokensinteger

The maximum number of tokens to generate.

ModemodestringSelect a value from the drop down menu:twitterlinkedin
ModelmodelstringSelect a value from the drop down menu:velox-1aecus-1alta-1sophos-1chat-sophos-1
Nninteger

The number of outputs to generate.

Source LanguagesourceLangstringSelect 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 LanguagetargetLangstringSelect 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" }
Temperaturetemperaturestring

The sampling temperature to be used in text generation. The higher the temperature, the higher the risk of the output to sound "made up".

Action Authentication

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

Sign in and copy your API key directly from your dashboard under Settings >> API Key.

About TextCortex

Powerful AI Assistant To 12x Your Productivity 🚀

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