Python nocodeapi.net SDK

Installation

pip install py-sdk-nocodeapi

Place .env file into root directory and DEV_JWT_TOKEN variable into this file.

Key phrases

import py-sdk-nocodeapi

nc = NoCodeAPI()
res = nc.key_phrases("Now, as a nation, we don't promise equal outcomes, "
                          "but we were founded on the idea everybody "
                          "should have an equal opportunity "
                          "to succeed. No matter who you are, what you look like, "
                          "where you come from, "
                          "you can make it. That's an essential promise.", 'en_US')

    # [
    #     {
    #         "Text": "promise equal outcomes",
    #         "Score": 8,
    #         "BeginOffset": 27,
    #         "EndOffset": 49
    #     },
    #     {
    #         "Text": "equal opportunity",
    #         "Score": 4.5,
    #         "BeginOffset": 108,
    #         "EndOffset": 125
    #     },
    #     {
    #         "Text": "essential promise",
    #         "Score": 4.5,
    #         "BeginOffset": 229,
    #         "EndOffset": 246
    #     },
    #     {
    #         "Text": "nation",
    #         "Score": 1,
    #         "BeginOffset": 10,
    #         "EndOffset": 16
    #     },
    #     {
    #         "Text": "founded",
    #         "Score": 1,
    #         "BeginOffset": 63,
    #         "EndOffset": 70
    #     }
    #     ...
    # ]

Language Detection

nc = NoCodeAPI()
res = nc.language_detect("Policjanci otrzymali zgłoszenie w tej sprawie po godz 9. "
                                      "Do wypadku doszło na ul. Kolonia Krakowskie Przedmieście.")

# res['LanguageCode'] // pl  
# res['Language'] // Polish
# res['Score'] // 1

Sentiment Analysis

res = self.nc.emotions('Genuine leather is the best production for bags imho, but '
                       'I would not recommend this particular product.')

# res['Positive'] // 0.12
# res['Negative'] // 0.14
# res['Neutral'] // 9.74
# res['Mixed'] // 9.97

Named Entity Recognition

res = self.nc.ner('Linus Torvalds is one of the best programmers in USA, Finland Helsinki and in the world')

# res['EntitiesCount'] # 3

# res['Entities'] 

# [
#   {
# 		Text: "Linus Torvalds",
# 		Label: "PERSON",
# 	},
# 	{
# 		Text: "USA",
# 		Label: "GPE",
# 	},
# 	{
# 		Text: "Finland Helsinki",
# 		Label: "GPE",
# 	}
# ]

Personally Identifiable Information

res = self.nc.pii('I had a card number 4234-4284-2422-2344 and '
                  'I wanted 4235 4284 2433 2347 to pay by slip, my phone number was +7 (916) 286-19-39 ')

# res['EntitiesCount'] # 3
# res['Entities'] 
# [
# {
#   'Type': 'CREDIT_DEBIT_NUMBER', 
#   'Text': '4234428424222344', 
#   'SubType': 'Visa',
#   'BeginOffset': 20, 'EndOffset': 39
# },
# {
#   'Type': 'CREDIT_DEBIT_NUMBER', 
#   'Text': '4235428424332347', 
#   'SubType': 'Visa',
#   'BeginOffset': 53, 
#   'EndOffset': 72
# },
# {
#   'Type': 'PHONE_NUMBER', 
#   'Text': '(916) 286-19-39',
#   'BeginOffset': 112, 
#   'EndOffset': 127
# }
# ]