🦜️🔗 LangChain JavaScript Integration with AssemblyAI
To apply LLMs to speech, you first need to transcribe the audio to text, which is what the AssemblyAI integration for LangChain helps you with.
Looking for the Python integration?
Go to the LangChain Python integration.
Quickstart
Add the AssemblyAI SDK to your project:
To use the loaders, you need an AssemblyAI account and get your AssemblyAI API key from the dashboard.
Configure the API key as the ASSEMBLYAI_API_KEY
environment variable or the apiKey
options parameter.
import {
AudioTranscriptLoader,
// AudioTranscriptParagraphsLoader,
// AudioTranscriptSentencesLoader
} from "@langchain/community/document_loaders/web/assemblyai";
// You can also use a local file path and the loader will upload it to AssemblyAI for you.
const audioUrl = "https://assembly.ai/espn.m4a";
// Use `AudioTranscriptParagraphsLoader` or `AudioTranscriptSentencesLoader` for splitting the transcript into paragraphs or sentences
const loader = new AudioTranscriptLoader(
{
audio: audioUrl,
// any other parameters as documented here: https://www.assemblyai.com/docs/api-reference/transcript#create-a-transcript
},
{
apiKey: "<ASSEMBLYAI_API_KEY>", // or set the `ASSEMBLYAI_API_KEY` env variable
}
);
const docs = await loader.load();
console.dir(docs, { depth: Infinity });
info
- You can use the
AudioTranscriptParagraphsLoader
orAudioTranscriptSentencesLoader
to split the transcript into paragraphs or sentences. - If the
audio_file
is a local file path, the loader will upload it to AssemblyAI for you. - The
audio_file
can also be a video file. See the list of supported file types in the FAQ doc. - If you don't pass in the
apiKey
option, the loader will use theASSEMBLYAI_API_KEY
environment variable. - You can add more properties in addition to
audio
. Find the full list of request parameters in the AssemblyAI API docs.
You can also use the AudioSubtitleLoader
to get srt
or vtt
subtitles as a document.
import { AudioSubtitleLoader } from "@langchain/community/document_loaders/web/assemblyai";
// You can also use a local file path and the loader will upload it to AssemblyAI for you.
const audioUrl = "https://assembly.ai/espn.m4a";
const loader = new AudioSubtitleLoader(
{
audio: audioUrl,
// any other parameters as documented here: https://www.assemblyai.com/docs/api-reference/transcript#create-a-transcript
},
"srt", // srt or vtt
{
apiKey: "<ASSEMBLYAI_API_KEY>", // or set the `ASSEMBLYAI_API_KEY` env variable
}
);
const docs = await loader.load();
console.dir(docs, { depth: Infinity });
Additional resources
You can learn more about using LangChain with AssemblyAI in these resources: