aristech-stt-client

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(host='stt.example.com')
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.

You can run the examples directly using python like this:

1. Create a .env file in the python directory:

HOST=stt.example.com
# The credentials are optional but probably required for most servers:
TOKEN=your-token
SECRET=your-secret

# The following are optional:
# ROOT_CERT=your-root-cert.pem # If the server uses a self-signed certificate
# MODEL=some-available-model
# NLP_SERVER=some-config
# NLP_PIPELINE=function1,function2

1. Run the examples, e.g.:

python examples/streaming.py