transcribe-audio.ts•3.81 kB
import { createAction, Property } from '@activepieces/pieces-framework';
import { groqAuth } from '../..';
import { httpClient, HttpMethod, AuthenticationType } from '@activepieces/pieces-common';
export const transcribeAudio = createAction({
auth: groqAuth,
name: 'transcribe-audio',
displayName: 'Transcribe Audio',
description: 'Transcribes audio into text in the input language.',
props: {
file: Property.File({
displayName: 'Audio File',
required: true,
description:
'The audio file to transcribe. Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm.',
}),
model: Property.Dropdown({
displayName: 'Model',
required: true,
description: 'The model to use for transcription.',
refreshers: [],
defaultValue: 'whisper-large-v3',
options: async ({ auth }) => {
if (!auth) {
return {
disabled: true,
placeholder: 'Please connect your Groq account first.',
options: [],
};
}
try {
const response = await httpClient.sendRequest({
url: 'https://api.groq.com/openai/v1/models',
method: HttpMethod.GET,
authentication: {
type: AuthenticationType.BEARER_TOKEN,
token: auth as string,
},
});
// Filter for whisper models only
const models = (response.body.data as Array<{ id: string }>).filter((model) =>
model.id.toLowerCase().includes('whisper'),
);
return {
disabled: false,
options: models.map((model) => {
return {
label: model.id,
value: model.id,
};
}),
};
} catch (error) {
return {
disabled: true,
options: [],
placeholder: "Couldn't load models, API key is invalid",
};
}
},
}),
language: Property.ShortText({
displayName: 'Language',
required: false,
description:
'The language of the input audio in ISO-639-1 format (e.g., "en" for English). This will improve accuracy and latency.',
}),
prompt: Property.LongText({
displayName: 'Prompt',
required: false,
description:
"An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.",
}),
temperature: Property.Number({
displayName: 'Temperature',
required: false,
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.',
defaultValue: 0,
}),
responseFormat: Property.StaticDropdown({
displayName: 'Response Format',
required: false,
description: 'The format of the transcript output.',
defaultValue: 'json',
options: {
disabled: false,
options: [
{ label: 'JSON', value: 'json' },
{ label: 'Text', value: 'text' },
{ label: 'Verbose JSON', value: 'verbose_json' },
],
},
}),
},
async run({ auth, propsValue }) {
const { file, model, language, prompt, temperature, responseFormat } = propsValue;
// Create form data
const formData = new FormData();
formData.append('file', new Blob([file.data]), file.filename);
formData.append('model', model);
if (language) formData.append('language', language);
if (prompt) formData.append('prompt', prompt);
if (temperature !== undefined) formData.append('temperature', temperature.toString());
if (responseFormat) formData.append('response_format', responseFormat);
// Send request
const response = await httpClient.sendRequest({
method: HttpMethod.POST,
url: 'https://api.groq.com/openai/v1/audio/transcriptions',
authentication: {
type: AuthenticationType.BEARER_TOKEN,
token: auth,
},
headers: {
'Content-Type': 'multipart/form-data',
},
body: formData,
});
return response.body;
},
});