A Python Wrapper for indico. Use pre-built state of the art machine learning algorithms with a single line of code.
Project description
A wrapper for a series of APIs made by indico.
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Our APIs are totally free to use, and ready to be used in your application. No data or training required.
Installation
pip install indicoio
Documentation
Available at indico.reame.io
Current APIs
Right now this wrapper supports the following apps:
Positive/Negative Sentiment Analysis
Political Sentiment Analysis
Image Feature Extraction
Facial Emotion Recognition
Facial Feature Extraction
Language Detection
Text Topic Tagging
Examples
>>> import numpy as np
>>> from indicoio import political, sentiment, fer, facial_features, language
>>> political("Guns don't kill people. People kill people.")
{u'Libertarian': 0.47740164630834825, u'Green': 0.08454409540443657, u'Liberal': 0.16617097211030055, u'Conservative': 0.2718832861769146}
>>> sentiment('Worst movie ever.')
{u'Sentiment': 0.07062467665597527}
>>> sentiment('Really enjoyed the movie.')
{u'Sentiment': 0.8105182526856075}
>>> test_text = "Facebook blog posts about Android tech make better journalism than most news outlets."
>>> tag_dict = text_tags(test_text)
>>> sorted(tag_dict.keys(), key=lambda x: tag_dict[x], reverse=True)[:3]
[u'startups_and_entrepreneurship', u'investment', u'business']
>>> text_tags(test_text, threshold=0.1) # return only keys with value > 0.1
{u'startups_and_entrepreneurship': 0.21888586688354486}
>>> text_tags(test_text, top_n=1) # return only keys with top_n values
{u'startups_and_entrepreneurship': 0.21888586688354486}
>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()
>>> fer(test_face)
{u'Angry': 0.08843749137458341, u'Sad': 0.39091163159204684, u'Neutral': 0.1947947999669361, u'Surprise': 0.03443785859010413, u'Fear': 0.17574534848440568, u'Happy': 0.11567286999192382}
>>> facial_features(test_face)
[0.0, -0.02568680526917187, 0.21645604230056517, -0.1519435786033145, -0.5648621854611555, 3.0607368045577226, 0.11434321880792693, -0.02163810928547493, -0.44224330594186484, 0.3024315632285246, -2.6068048934495276, 2.497798330306638, 3.040558335205844, 0.741045340525325, 0.37198135618478817, -0.33132377802172325, -0.9804190889833034, 0.5046575784709395, -0.5609132323152847, 1.679107064439151, 0.6825037853544341, -1.5977176226648016, 1.8959464303080562, -0.7812860715595836, -2.998394007543733, -0.22637273967347724, -0.9642457010679496, 1.4557274834236749, 2.412244419186633, 2.3151771738421965, 0.7881483386786367, 1.6622850935863422, 0.1304768990234367, 1.9344501393866649, 3.1271558035162914, -0.10250886439220543, 1.4921395116492966, 2.761645355670677, 1.6903473594991179, 1.009209807271491, 0.07273926986120445, -1.4941708135718021, -2.082786362439631, 1.0160924044870847, 2.5326580674673895, -0.8328208491083264, 2.0390177029762935, 3.0342637531932777]
>>> language_dict = language('Quis custodiet ipsos custodes')
>>> sorted(language_dict.keys(), key=lambda x: language_dict[x], reverse=True)[:5]
[u'Latin', u'Dutch', u'Greek', u'Portuguese', u'Spanish']
>>> language_dict
{u'Swedish': 0.00033330636691921914, u'Lithuanian': 0.007328693814717631, u'Vietnamese': 0.0002686116137658802, u'Romanian': 8.133913804076592e-06, ...}
Batch API Access
If you’d like to use our batch api interface, please send an email to contact@indico.io.
>>> from indicio import batch_sentiment
>>> batch_sentiment(['Text to analyze', 'More text'], auth=("example@example.com", "********"))
Authentication credentials can also be set as the environment variables $INDICO_USERNAME and $INDICO_PASSWORD or as username and password in the indicorc file.
Private cloud API Access
If you’re looking to use indico’s API for high throughput applications, please contact contact@indico.io about our private cloud option.
>>> from indicio import sentiment
>>> sentiment("Text to analyze", cloud="example", auth=("example@example.com", "********"))
The cloud parameter redirects API calls to your private cloud hosted at [cloud].indico.domains
Private cloud subdomains can also be set as the environment variable $INDICO_CLOUD or as cloud in the indicorc file.
Configuration
Indicoio-python will search ./.indicorc and HOME/.indicorc for the optional configuration file. Values in the local configuration file (./.indicorc) take precedence over those found in a global configuration file (HOME/.indicorc). The indicorc file can be used to set an authentication username and password or a private cloud subdomain, so these arguments don’t need to be specified for every api call. All sections are optional.
Here is an example of a valid indicorc file:
[auth] username = test@example.com password = secret [private_cloud] cloud = example
Environment variables take precedence over any configuration found in the indicorc file. The following environment variables are valid:
$INDICO_USERNAME $INDICO_PASSWORD $INDICO_CLOUD
Finally, any values explicitly passed in to an api call will override configuration options set in the indicorc file or in an environment variable.
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