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A Python client library for the Aristech Speech-to-Text API

Project description

Aristech STT-Client for Python

This is the Python client implementation for the Aristech STT-Server.

Installation

pip install aristech-stt-client

Usage

from aristech_stt_client import SttClient, RecognitionConfig, RecognitionSpec

client = SttClient(
  api_key=os.getenv('ARISTECH_STT_API_KEY', ''), # This is the default and can be omitted
)
results = client.recognize_file("path/to/audio/file.wav", RecognitionConfig(specification=RecognitionSpec(model="some-model")))
print('\n'.join([r.chunks[0].alternatives[0].text for r in results]))

There are several examples in the examples directory:

  • recognize.py: Demonstrates how to perform recognition on a file.
  • streaming.py: Demonstrates how to stream audio to the server while receiving interim results.
  • models.py: Demonstrates how to get the available models from the server.
  • nlpFunctions.py: Demonstrates how to list the configured NLP-Servers and the coresponding functions.
  • nlpProcess.py: Demonstrates how to perform NLP processing on a text by using the STT-Server as a proxy.
  • account.py: Demonstrates how to retrieve the account information from the server.

To run the examples while using the local version of the package, run the package with the PYTHONPATH environment variable set to the src directory:

PYTHONPATH=src python examples/streaming.py

API Key

If you didn't get an API key but a token, secret and host instead, you can simply convert those values with our API key generator.

Alternatively you can still provide the connection options manually.
from aristech_stt_client import SttClient

client = SttClient(host='stt.example.com:443', auth_token='your-token', auth_secret='your-secret')

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