Transcribe Audio with Palatine Speech API on New Requests from HTTP / Webhook API

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New Requests from the HTTP / Webhook API

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Transcribe Audio with the Palatine Speech API

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Getting Started#

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

Select this integration
Configure the New Requests trigger
1. Optional- Configure Body Only
2. Optional- Configure Response Status Code
3. Optional- Configure Response Content-Type
4. Optional- Configure Response Body
5. Connect your HTTP / Webhook account
6. Optional- Configure Summary
Configure the Transcribe Audio action
1. Connect your Palatine Speech account
2. Configure File Path or URL
3. Optional- Select a Recognition Model
4. Optional- Configure Fast Inference
5. Optional- Configure Wait for Completion
6. Optional- Configure Polling Interval (seconds)
7. Optional- Configure Max Polling Attempts
8. Configure syncDir
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 Requests on HTTP / Webhook

Description:Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

Version:0.1.2

Key:http-new-requests

View on GitHub

HTTP / Webhook Overview#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Trigger Code#

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

// Core HTTP component
export default {
  key: "http-new-requests",
  name: "New Requests",
  description: "Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.",
  version: "0.1.2",
  type: "source",
  props: {
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    emitBodyOnly: {
      type: "boolean",
      label: "Body Only",
      description: "This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.",
      optional: true,
      default: false,
    },
    resStatusCode: {
      type: "string",
      label: "Response Status Code",
      description: "The status code to return in the HTTP response",
      optional: true,
      default: "200",
    },
    resContentType: {
      type: "string",
      label: "Response Content-Type",
      description: "The `Content-Type` of the body returned in the HTTP response",
      optional: true,
      default: "application/json",
    },
    resBody: {
      type: "string",
      label: "Response Body",
      description: "The body to return in the HTTP response",
      optional: true,
      default: "{ \"success\": true }",
    },
    http,
    summary: {
      propDefinition: [
        http,
        "summary",
      ],
    },
  },
  async run(event) {
    const summary = this.summary
      ? this.http.interpolateSummary(this.summary, event)
      : `${event.method} ${event.path}`;

    this.httpInterface.respond({
      status: this.resStatusCode,
      body: this.resBody,
      headers: {
        "content-type": this.resContentType,
      },
    });

    if (this.emitBodyOnly) {
      this.$emit(event.body, {
        summary,
      });
    } else {
      this.$emit(event, {
        summary,
      });
    }
  },
};

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
N/A	`httpInterface`	`$.interface.http`	This component uses `$.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.
Body Only	`emitBodyOnly`	`boolean`	This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.
Response Status Code	`resStatusCode`	`string`	The status code to return in the HTTP response
Response Content-Type	`resContentType`	`string`	The `Content-Type` of the body returned in the HTTP response
Response Body	`resBody`	`string`	The body to return in the HTTP response
HTTP / Webhook	`http`	`app`	This component uses the HTTP / Webhook app.
Summary	`summary`	`string`	An optional summary. This will be emitted as the `summary` metadata for the event. Use dot notation to reference nested values. Example: `New item with ID: ${body.id}` or `User: ${body.user.name}`

Trigger Authentication#

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook#

Get a unique URL where you can send HTTP or webhook requests

Action#

Transcribe Audio on Palatine Speech

Description:Starts an asynchronous transcription job for an audio or video file. Optionally wait for completion by enabling the 'Wait for Completion' option. [See the documentation](https://docs.speech.palatine.ru/api-reference/transcribe/transcribe-polling-api/transcribe)

Version:0.0.1

Key:palatine_speech-transcribe-audio

View on GitHub

Action Code#

import FormData from "form-data";
import {
  getFileStreamAndMetadata,
  ConfigurationError,
} from "@pipedream/platform";
import app from "../../palatine_speech.app.mjs";

export default {
  key: "palatine_speech-transcribe-audio",
  name: "Transcribe Audio",
  description: "Starts an asynchronous transcription job for an audio or video file. Optionally wait for completion by enabling the 'Wait for Completion' option. [See the documentation](https://docs.speech.palatine.ru/api-reference/transcribe/transcribe-polling-api/transcribe)",
  version: "0.0.1",
  type: "action",
  annotations: {
    readOnlyHint: false,
    destructiveHint: false,
    openWorldHint: true,
  },
  props: {
    app,
    filePath: {
      type: "string",
      label: "File Path or URL",
      description: "Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myFile.mp3`)",
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    fastInference: {
      propDefinition: [
        app,
        "fastInference",
      ],
    },
    waitForCompletion: {
      type: "boolean",
      label: "Wait for Completion",
      description: "If enabled, the action will poll the task status until the transcription is complete before returning the result",
      optional: true,
    },
    pollingInterval: {
      type: "integer",
      label: "Polling Interval (seconds)",
      description: "Time to wait between status checks when waiting for completion. Only used if **Wait for Completion** is enabled. Defaults to `3` seconds if not specified.",
      optional: true,
      min: 1,
      max: 60,
    },
    maxPollingAttempts: {
      type: "integer",
      label: "Max Polling Attempts",
      description: "Maximum number of times to check the status before timing out. Only used if **Wait for Completion** is enabled. Defaults to `3` attempts if not specified.",
      optional: true,
      min: 1,
      max: 20,
    },
    syncDir: {
      type: "dir",
      accessMode: "read",
      sync: true,
    },
  },
  async run({ $ }) {
    const {
      app,
      filePath,
      model,
      fastInference,
      waitForCompletion,
      pollingInterval = 3,
      maxPollingAttempts = 3,
    } = this;

    const data = new FormData();

    const {
      stream,
      metadata,
    } = await getFileStreamAndMetadata(filePath);

    data.append("file", stream, {
      contentType: metadata.contentType,
      knownLength: metadata.size,
      filename: metadata.name,
    });

    const response = await app.transcribeAudio({
      $,
      headers: data.getHeaders(),
      params: {
        model,
        fast_inference: fastInference,
      },
      data,
    });

    const taskId = response.task_id;

    if (!waitForCompletion) {
      $.export("$summary", "Successfully started transcription job");
      return response;
    }

    // Poll for completion
    let attempts = 0;
    let taskStatus;

    while (attempts < maxPollingAttempts) {
      await new Promise((resolve) => setTimeout(resolve, pollingInterval * 1000));

      taskStatus = await app.getTaskStatus({
        $,
        taskId,
      });

      if (taskStatus.status === "success") {
        $.export("$summary", "Transcription completed successfully");
        return taskStatus;
      }

      if (taskStatus.status === "error") {
        throw new ConfigurationError(`Transcription failed: ${taskStatus.error || "Unknown error"}`);
      }

      attempts++;
    }

    throw new ConfigurationError(`Transcription timed out after ${maxPollingAttempts} attempts`);
  },
};

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
Palatine Speech	`app`	`app`	This component uses the Palatine Speech app.
File Path or URL	`filePath`	`string`	Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myFile.mp3`)
Recognition Model	`model`	`string`	Select a value from the drop down menu:`{ "label": "Palatine Large Highspeed", "value": "palatine_large_highspeed" }{ "label": "Palatine Small", "value": "palatine_small" }`
Fast Inference	`fastInference`	`boolean`	Enable accelerated inference for faster processing
Wait for Completion	`waitForCompletion`	`boolean`	If enabled, the action will poll the task status until the transcription is complete before returning the result
Polling Interval (seconds)	`pollingInterval`	`integer`	Time to wait between status checks when waiting for completion. Only used if Wait for Completion is enabled. Defaults to `3` seconds if not specified.
Max Polling Attempts	`maxPollingAttempts`	`integer`	Maximum number of times to check the status before timing out. Only used if Wait for Completion is enabled. Defaults to `3` attempts if not specified.
syncDir	`syncDir`	`dir`

Action Authentication#

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

About Palatine Speech#

AI models for complex speech processing

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