Vericlient is a Python library designed to facilitate interaction with the Veridas API. It provides a simple and robust interface for making API requests and handling responses efficiently.
- Easy to Use: Designed to be intuitive and easy to integrate into your projects.
- Exception Handling: Includes error and exception handling for safer interaction with the API.
- Modular and Extensible: Structured to easily add new functionalities and endpoints.
- Minimal Dependencies to work.
- 🟢: fully supported.
- 🟠: partly supported.
- 🔴: not yet supported.
API | Status | Docs Link |
---|---|---|
das-Peak | 🟢 | https://clarriu97.github.io/vericlient/api_docs/daspeak/client/ |
VCSP | 🟠 | None |
das-Face | 🔴 | None |
To install the library, you can use pip:
pip install vericlient
from vericlient import DaspeakClient
from vericlient.daspeak.models import (
GenerateCredentialInput,
CompareCredential2AudioInput,
)
client = DaspeakClient(apikey="your_api_key")
# check if the server is alive
print(f"Alive: {client.alive()}")
# generate a credential from a BytesIO object using the last model
with open("/home/audio.wav", "rb") as f:
model_input = GenerateCredentialInput(
audio=f.read(),
hash=client.get_models().models[-1],
)
generate_credential_output = client.generate_credential(model_input)
print(f"Credential generated with virtual file: {generate_credential_output.credential}")
# compare a credential with an audio file
compare_input = CompareCredential2AudioInput(
audio_to_evaluate="/home/audio.wav",
credential_reference=generate_credential_output.credential,
)
compare_output = client.compare(compare_input)
print(f"Similarity between the credential and the audio file: {compare_output.score}")
# compare a credential with a BytesIO object
with open("/home/audio.wav", "rb") as f:
compare_input = CompareCredential2AudioInput(
audio_to_evaluate=f.read(),
credential_reference=generate_credential_output.credential,
)
compare_output = client.compare(compare_input)
print(f"Similarity between the credential and the virtual file: {compare_output.score}")
You can also use the client against any self-hosted Veridas API:
from vericlient import DaspeakClient
# Create a client for the das-Peak API
client = DaspeakClient(url="https://your-self-hosted-api.com")
# Test the connection
print(client.alive())
The library can be configured using environment variables. The following variables are supported:
VERICLIENT_ENVIRONMENT
: The environment to use for the requests (default:sandbox
).VERICLIENT_APIKEY
: The API key to use for the requests against the Veridas Cloud API.VERICLIENT_LOCATION
: The location to use for the requests (default:eu
).VERICLIENT_URL
: In case you want to use a self-hosted API, you can set the URL with this variable.VERICLIENT_TIMEOUT
: The timeout for the requests (default:10
).