deepgram-sdk 0.1.2

The official Python SDK for the Deepgram automated speech recognition platform.

Deepgram Python SDK

This is a pre-release SDK and is very likely to have breaking changes. Feel free to provide feedback via GitHub issues and suggest new features.

Official Python SDK for Deepgram's automated speech recognition APIs.

To access the API you will need a Deepgram account. Sign up for free at [try.deepgram.com][signup].

You can learn more about the full Deepgram API at https://developers.deepgram.com.

Getting Started

pip install deepgram-sdk

from deepgram import Deepgram

dg_client = Deepgram(YOUR_API_KEY)
# or, fully specify for an alternate endpoint
dg_client = Deepgram({
    'api_key': YOUR_API_KEY,
    'api_url': YOUR_API_URL
})

Usage

Basic transcription can be done like so:

Batch processing

from deepgram import Deepgram
import asyncio, json

DEEPGRAM_API_KEY = 'YOUR_API_KEY'
PATH_TO_FILE = 'some/file.wav'

async def main():
    # Initializes the Deepgram SDK
    dg_client = Deepgram(DEEPGRAM_API_KEY)
    # Open the audio file
    with open(PATH_TO_FILE, 'rb') as audio:
        # ...or replace mimetype as appropriate
        source = {'buffer': audio, 'mimetype': 'audio/wav'}
        response = await dg_client.transcription.prerecorded(source)
        print(json.dumps(response, indent=4))

asyncio.run(main())

"Fake" streaming processing:

from deepgram import Deepgram
import asyncio, json

DEEPGRAM_API_KEY = 'YOUR_API_KEY'
PATH_TO_FILE = 'some/file.wav'

async def main():
    # Initializes the Deepgram SDK
    dg_client = Deepgram(DEEPGRAM_API_KEY)
    # Creates a websocket connection to Deepgram
    try:
        socket = await dg_client.transcription.live()
    except Exception as e:
        print(f'Could not open socket: {e}')
        return
    # Handle sending audio to the socket
    async def process_audio(connection):
        # Open the file
        with open(PATH_TO_FILE, 'rb') as audio:
            # Chunk up the audio to send
            CHUNK_SIZE_BYTES = 8192
            CHUNK_RATE_SEC = 0.001
            chunk = audio.read(CHUNK_SIZE_BYTES)
            while chunk:
                connection.send(chunk)
                await asyncio.sleep(CHUNK_RATE_SEC)
                chunk = audio.read(CHUNK_SIZE_BYTES)
        # Indicate that we've finished sending data
        await connection.finish()

    # Listen for the connection to close
    socket.registerHandler(socket.event.CLOSE, lambda c: print(f'Connection closed with code {c}.'))
    # Print incoming transcription objects
    socket.registerHandler(socket.event.TRANSCRIPT_RECEIVED, print)

    # Send the audio to the socket
    await process_audio(socket)

asyncio.run(main())

Development and Contributing

Interested in contributing? We ❤️ pull requests!

To make sure our community is safe for all, be sure to review and agree to our Code of Conduct. Then see the Contribution guidelines for more information.

Getting Help

We love to hear from you so if you have questions, comments or find a bug in the project, let us know! You can either:

• Open an issue on this repository
• Tweet at us! We're @DeepgramDevs on Twitter

Further Reading

Check out the Developer Documentation at https://developers.deepgram.com/