Python bindings for DeepAffects APIs
Project description
deepaffects-python
Python client library for DeepAffects APIs
Requirements.
Python 2.7 and 3.3+
pymediainfo >= 2.1.9, this is a wrapper library around mediainfo, which we use to extract the sampling rate and codec information from audio files.
Installation
pip install
The python package can be installed directly from pip using:
pip install deepaffects
pip install from github
The python package is hosted on Github, you can install directly from Github
pip install git+https://github.com/SEERNET/deepaffects-python.git
(you may need to run pip
with root permission: sudo pip install git+https://github.com/SEERNET/deepaffects-python.git
)
Then import the package:
import deepaffects
Setuptools
Install via Setuptools.
python setup.py install --user
(or sudo python setup.py install
to install the package for all users)
Then import the package:
import deepaffects
Documentation for Authorization
DeepAffects API authenticates all the api requests via API Key.
For API key registration and setup, checkout our quickstart guide
UserSecurity
- Type: API key
- API key parameter name: apikey
- Location: URL query string
Getting Started
Please follow the installation instruction and execute the following python code:
from __future__ import print_function
import time
import deepaffects
from deepaffects.rest import ApiException
from pprint import pprint
# Configure API key authorization: UserSecurity
deepaffects.configuration.api_key['apikey'] = 'YOUR_API_KEY'
# create an instance of the API class
api_instance = deepaffects.DenoiseApi()
body = deepaffects.Audio.from_file('/path/to/file') # Audio | Audio object that needs to be denoised.
webhook = 'webhook_example' # str | The webhook url where result from async resource is posted
request_id = 'request_id_example' # str | Unique identifier for the request (optional)
try:
# Denoise an audio file
api_response = api_instance.async_denoise_audio(body, webhook, request_id=request_id)
pprint(api_response)
except ApiException as e:
print("Exception when calling DenoiseApi->async_denoise_audio: %s\n" % e)
Documentation for API Endpoints
All URIs are relative to https://localhost
Class | Method | HTTP request | Description |
---|---|---|---|
DenoiseApi | async_denoise_audio | POST /api/v1/async/denoise | Denoise an audio file |
DenoiseApi | sync_denoise_audio | POST /api/v1/sync/denoise | Denoise an audio file |
DiarizeApiV2 | async_diarize_audio | POST /api/v2/async/diarize | Diarize an audio file |
DiarizeApi | async_diarize_audio | POST /api/v1/async/diarize | Diarize an audio file (Legacy) |
DiarizeApi | sync_diarize_audio | POST /api/v1/sync/diarize | Diarize an audio file (Legacy) |
EmotionApi | async_recognise_emotion | POST /api/v1/async/recognise_emotion | Find emotion in an audio file |
EmotionApi | sync_recognise_emotion | POST /api/v1/sync/recognise_emotion | Find emotion in an audio file |
FeaturizeApi | async_featurize_audio | POST /api/v1/async/featurize | featurize an audio file |
FeaturizeApi | sync_featurize_audio | POST /api/v1/sync/featurize | featurize an audio file |
Documentation For Models
UserSecurity
- Type: API key
- API key parameter name: apikey
- Location: URL query string
About
DeepAffects is an emotional intelligence analysis engine that measures the effect emotional intelligence has on team dynamics, and provides emotional analytics that serve as the basis of insights to improve project management, performance and satisfaction across organizations, projects, and teams. To watch DeepAffects in action: check out DeepAffects Atlassian JIRA addon and our Github addon.
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