Create Transcription with OpenAI (ChatGPT) API on New Webhook Event (Instant) from Payhere API

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New Webhook Event (Instant) from the Payhere API

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Create Transcription with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Payhere 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 Webhook Event (Instant) trigger
1. Connect your Payhere account
2. Configure Integration Name
3. Select a Event Type
Configure the Create Transcription action
1. Connect your OpenAI (ChatGPT) account
2. Configure File
3. Select a Model
4. Optional- Configure Include
5. Optional- Configure Language
6. Optional- Configure Prompt
7. Optional- Select a Response Format
8. Optional- Configure Temperature
9. Optional- Configure Timestamp Granularities
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 Webhook Event (Instant) on Payhere

Description:Emit new event for each new webhook event

Version:0.0.1

Key:payhere-new-webhook-event

View on GitHub

Payhere Overview#

Payhere, powered by Xendit, offers a powerful API that allows you to craft seamless payment experiences within your apps and websites. By leveraging this API on Pipedream, you can automate payment processing, synchronize transaction data with accounting systems, or trigger communication based on payment events. Pipedream's serverless platform enables the orchestration of Payhere with an array of other services to streamline financial operations, enhance customer engagement, and maintain robust financial records.

Trigger Code#

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

export default {
  key: "payhere-new-webhook-event",
  name: "New Webhook Event (Instant)",
  description: "Emit new event for each new webhook event",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  props: {
    payhere,
    db: "$.service.db",
    http: "$.interface.http",
    integrationName: {
      label: "Integration Name",
      description: "Friendly name of your platform, helps with metrics and debugging",
      type: "string",
    },
    resource: {
      label: "Event Type",
      description: "The event that will be listen",
      type: "string",
      options: constants.WEBHOOK_EVENT_TYPES,
    },
  },
  methods: {
    _getWebhookId() {
      return this.db.get("webhookId");
    },
    _setWebhookId(webhookId) {
      this.db.set("webhookId", webhookId);
    },
  },
  hooks: {
    async activate() {
      const response = await this.payhere.createWebhook({
        integration: this.integrationName,
        post_url: this.http.endpoint,
        resource: this.resource,
      });

      this._setWebhookId(response.id);
    },
    async deactivate() {
      const webhookId = this._getWebhookId();
      await this.payhere.removeWebhook(webhookId);
    },
  },
  async run(event) {
    const { body } = event;

    const resourceId = body?.payment?.id ?? body?.subscription?.id;
    const ts = body?.payment?.created_at ?? body?.subscription?.created_at;

    this.$emit(body, {
      id: resourceId,
      summary: `New event ${body.event} with id ${resourceId}`,
      ts: Date.parse(ts),
    });
  },
};

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
Payhere	`payhere`	`app`	This component uses the Payhere app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Integration Name	`integrationName`	`string`	Friendly name of your platform, helps with metrics and debugging
Event Type	`resource`	`string`	Select a value from the drop down menu:`{ "label": "Payment Received", "value": "payment_received" }{ "label": "Subscription Cancelled", "value": "subscription_cancelled" }{ "label": "Subscription Created", "value": "subscription_created" }`

Trigger Authentication#

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

You can find your API key in the integrations section of the merchants admin.

For environment, Payhere provides a sandbox site so you can easily test your integration without using your own money. See docs. If you aren't testing, use the production option.

About Payhere#

Easy payment links

Action#

Create Transcription on OpenAI (ChatGPT)

Description:Transcribes audio into the input language. [See the documentation](https://platform.openai.com/docs/api-reference/audio/createTranscription)

Version:0.2.0

Key:openai-create-transcription

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 FormData from "form-data";
import fs from "fs";

export default {
  key: "openai-create-transcription",
  name: "Create Transcription",
  description: "Transcribes audio into the input language. [See the documentation](https://platform.openai.com/docs/api-reference/audio/createTranscription)",
  version: "0.2.0",
  type: "action",
  props: {
    openai,
    file: {
      propDefinition: [
        openai,
        "file",
      ],
    },
    model: {
      type: "string",
      label: "Model",
      description: "ID of the model to use",
      options: [
        "gpt-4o-transcribe",
        "gpt-4o-mini-transcribe",
        "whisper-1",
      ],
    },
    include: {
      type: "string[]",
      label: "Include",
      description: "Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`.",
      optional: true,
    },
    language: {
      type: "string",
      label: "Language",
      description: "The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. en) format will improve accuracy and latency.",
      default: "en",
      optional: true,
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) should match the audio language.",
      optional: true,
    },
    response_format: {
      type: "string",
      label: "Response Format",
      description: "The format of the output. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, the only supported format is `json`.",
      options: [
        "json",
        "text",
        "srt",
        "verbose_json",
        "vtt",
      ],
      optional: true,
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: "The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.",
      optional: true,
    },
    timestamp_granularities: {
      type: "string[]",
      label: "Timestamp Granularities",
      description: "The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.",
      optional: true,
    },
  },
  methods: {
    createTranscription(opts = {}) {
      return this.openai._makeRequest({
        method: "POST",
        path: "/audio/transcriptions",
        ...opts,
      });
    },
  },
  async run({ $ }) {
    const {
      /* eslint-disable no-unused-vars */
      openai,
      file,
      createTranscription,
      ...fields
    } = this;

    const data = new FormData();
    const content = fs.createReadStream(file.includes("tmp/")
      ? file
      : `/tmp/${file}`);

    data.append("file", content);

    for (const [
      key,
      value,
    ] of Object.entries(fields)) {
      const v = Array.isArray(value)
        ? value.join(",")
        : value;
      data.append(key, v);
    }

    const response = await createTranscription({
      $,
      data,
      headers: data.getHeaders(),
    });

    $.export("$summary", "Successfully converted speech to text");
    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
File	`file`	`string`	The path to a file in the `/tmp` directory. See the documentation on working with files. See the Assistants Tools guide to learn more about the types of files supported. The Fine-tuning API only supports `.jsonl` files.
Model	`model`	`string`	Select a value from the drop down menu:`gpt-4o-transcribegpt-4o-mini-transcribewhisper-1`
Include	`include`	`string[]`	Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`.
Language	`language`	`string`	The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
Prompt	`prompt`	`string`	An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
Response Format	`response_format`	`string`	Select a value from the drop down menu:`jsontextsrtverbose_jsonvtt`
Temperature	`temperature`	`string`	The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.
Timestamp Granularities	`timestamp_granularities`	`string[]`	The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.

Action 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.

More Ways to Connect OpenAI (ChatGPT) + Payhere#

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Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Payhere and 2,500+ other apps remarkably fast.

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

Developers ♥ Pipedream

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