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Initial Integration of GrammarX
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Nikunj Prajapati
parent
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commit
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101
scripts/grammarX/README.md
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scripts/grammarX/README.md
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# GrammarX
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GrammarX is a python tool which is check grammar mistakes from input file (i.e. whatever written in `demo.txt` ) as well as it will suggest possible fix to it.
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## Requirements
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Use the package manager [pip](https://pip.pypa.io/en/stable/) to install [language-tool-python](https://pypi.org/project/language-tool-python/).
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```bash
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pip install language-tool-python
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```
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## Usage
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- Any input text you want to check you can put in `demo.txt` file
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- In terminal run this command
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```python
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python3 tool.py
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```
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## Output
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- Step 1 : Run This command in terminal
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```
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python3 tool.py
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```
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- Step 2 : You will see this output, this is the original text
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```
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******************************************************************************************
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Original Text
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******************************************************************************************
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another big problem in the speech analytics space.
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When customers first bring the software on,
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is that they they are blown away by the fact that an engine can monitor hundreds of Kpis.
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Right? Everything from my new compliance issues to, you know,
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human human interaction, empathy measurements to upsell aptitude to closing aptitude.
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They're hundreds literally of Kpis that one could look at. And the speech analytics
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companies have typically gone to the customer and really bang that trump. We'll get all
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of these things that we're gonna help you keep an eye on. The reality, however, is that
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a company even a contact center manager, they can't keep track in their brain even if
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they have a report in front of. Of that many Kpis. Mh. And frankly, it's overwhelming.
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So what successful companies do is they bite off no more than they can chew at any given time.
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The reality is is you can only train a call center agent on a maximum of three skills at any given day. Right?
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And by focusing on focusing on problem areas, for a week for a month depending on how bad things are.
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And then once you've mastered that skill to take a baseline of of your performance and move on to the next worst skill.
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Right, is the way that companies succeed using this product?
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```
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- Step 3: Grammar mistakes & Imporvements
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```
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******************************************************************************************
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Grammar mistakes & Improvements
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******************************************************************************************
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This sentence does not start with an uppercase letter. => another big problem in the speech analytics space.
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Suggestion : Another
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Possible typo: you repeated a word => When customers first bring the software on,
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is that they they are blown away by the fact that an engine can monitor hundreds of Kpis.
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Suggestion : they
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Possible spelling mistake found. => When customers first bring the software on,
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is that they they are blown away by the fact that an engine can monitor hundreds of Kpis.
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Suggestion : KPIs
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Possible typo: you repeated a word => Everything from my new compliance issues to, you know,
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human human interaction, empathy measurements to upsell aptitude to closing aptitude.
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Suggestion : human
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Possible spelling mistake found. => They're hundreds literally of Kpis that one could look at.
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Suggestion : KPIs
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The word ‘gonna’ is informal. => We'll get all
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of these things that we're gonna help you keep an eye on.
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Suggestion : going to
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Possible spelling mistake found. => Of that many Kpis.
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Suggestion : KPIs
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Possible spelling mistake found. => Mh.
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Suggestion : MH
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Possible typo: you repeated a word => The reality is is you can only train a call center agent on a maximum of three skills at any given day.
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Suggestion : is
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This phrase is duplicated. You should probably use “focusing on” only once. => And by focusing on focusing on problem areas, for a week for a month depending on how bad things are.
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Suggestion : focusing on
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Possible typo: you repeated a word => And then once you've mastered that skill to take a baseline of of your performance and move on to the next worst skill.
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Suggestion : of
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```
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- Step 4 : This is corrected step
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```
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******************************************************************************************
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CORRECTED TEXT
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******************************************************************************************
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Another big problem in the speech analytics space.
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When customers first bring the software on,
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is that they are blown away by the fact that an engine can monitor hundreds of KPIs.
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Right? Everything from my new compliance issues to, you know,
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human interaction, empathy measurements to upsell aptitude to closing aptitude.
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They're hundreds literally of KPIs that one could look at. And the speech analytics
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companies have typically gone to the customer and really bang that trump. We'll get all
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of these things that we're going to help you keep an eye on. The reality, however, is that
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a company even a contact center manager, they can't keep track in their brain even if
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they have a report in front of. Of that many KPIs. MH. And frankly, it's overwhelming.
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So what successful companies do is they bite off no more than they can chew at any given time.
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The reality is you can only train a call center agent on a maximum of three skills at any given day. Right?
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And by focusing on problem areas, for a week for a month depending on how bad things are.
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And then once you've mastered that skill to take a baseline of your performance and move on to the next worst skill.
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Right, is the way that companies succeed using this product?
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```
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## License
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[MIT](https://choosealicense.com/licenses/mit/)
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15
scripts/grammarX/demoFile.txt
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15
scripts/grammarX/demoFile.txt
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@ -0,0 +1,15 @@
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another big problem in the speech analytics space.
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When customers first bring the software on,
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is that they they are blown away by the fact that an engine can monitor hundreds of Kpis.
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Right? Everything from my new compliance issues to, you know,
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human human interaction, empathy measurements to upsell aptitude to closing aptitude.
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They're hundreds literally of Kpis that one could look at. And the speech analytics
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companies have typically gone to the customer and really bang that trump. We'll get all
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of these things that we're gonna help you keep an eye on. The reality, however, is that
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a company even a contact center manager, they can't keep track in their brain even if
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they have a report in front of. Of that many Kpis. Mh. And frankly, it's overwhelming.
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So what successful companies do is they bite off no more than they can chew at any given time.
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The reality is is you can only train a call center agent on a maximum of three skills at any given day. Right?
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And by focusing on focusing on problem areas, for a week for a month depending on how bad things are.
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And then once you've mastered that skill to take a baseline of of your performance and move on to the next worst skill.
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Right, is the way that companies succeed using this product?
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47
scripts/grammarX/tool.py
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47
scripts/grammarX/tool.py
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@ -0,0 +1,47 @@
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import language_tool_python
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import sys
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from pathlib import Path
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script_location = Path(__file__).absolute().parent
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def checkGrammar(data):
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tool = language_tool_python.LanguageTool('en-US')
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matches = tool.check(data)
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corrected = language_tool_python.utils.correct(data, matches)
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tool.close()
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formatAndDisplay(data, matches, corrected)
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def formatAndDisplay(data='', matches=[], corrected=''):
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print('***'*30)
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print('Original Text')
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print('***'*30)
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print(data)
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print('***'*30)
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print('Grammar mistakes & Improvements')
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print('***'*30)
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for match in matches:
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incorrect_text = match.sentence.replace(match.matchedText, '\033[44;33m{}\033[m'.format(match.matchedText))
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rule_text = '\033[3;31;40m{}\033[m'.format(match.message)
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suggestion = '\033[4;32;40m{}\033[m'.format(match.replacements[0])
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print(f"{rule_text} => {incorrect_text}")
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print(f"Suggestion : {suggestion}")
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# Corrected ----------
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print('***'*30)
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print('CORRECTED TEXT')
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print('***'*30)
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print('\033[3;33;40m{}\033[m'.format(corrected))
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print('---'*30)
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try:
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file_location = script_location / 'demoFile.txt'
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f = open(file_location, "r")
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fileText = f.read()
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checkGrammar(fileText)
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except Exception as e:
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exception_type, exception_object, exception_traceback = sys.exc_info()
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line_number = exception_traceback.tb_lineno
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print(f'line {line_number}: {exception_type} - {e}')
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