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

• AsyncResponse
• Audio
• DiarizeAudio
• EmotionScore

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.