INSTALL and README updated

INSTALL.md

 # Installation instructions
 # Installation instructions
 
 
+In order to make use of this library, install it as follows:
+
 1. Clone this repository: `git clone https://gitlab.ujaen.es/ammr0032/TextAnalysisSpacy.git`
 1. Clone this repository: `git clone https://gitlab.ujaen.es/ammr0032/TextAnalysisSpacy.git`
 2. Use this inside the project's folder: `python -m pip install .`
 2. Use this inside the project's folder: `python -m pip install .`
+
+This library has been tested in Python 3.8+
\ No newline at end of file

README.md

@@ -7,13 +7,13 @@ This class provides methods for the calculation of different metrics on text. It
 - [INSTALL.md](INSTALL.md): A guide to make this project work on your local environment.
 - [INSTALL.md](INSTALL.md): A guide to make this project work on your local environment.
 
 
 ## ./src/texty
 ## ./src/texty
-- [analyzer.py](src/texty/analyzer.py): This class provides methods for the calculation of different metrics on text.
-- [complexity.py](src/texty/complexity.py): This class provides methods for the calculation of different complexity metrics on text.
+- [analyzer.py](src/texty/analyzer.py): This module provides a class with methods for the calculation of different metrics on text.
+- [complexity.py](src/texty/complexity.py): This module provides a class methods for the calculation of different complexity metrics on text.
 - [CREA_total.txt](CREA_total.txt): A dataset of 737799 spanish words ordered by its absolute frequency.
 - [CREA_total.txt](CREA_total.txt): A dataset of 737799 spanish words ordered by its absolute frequency.
-- [analyze_complexity.py](src/texty/analyze_complexity.py): A script that takes a .txt file and an output format as input and generates a file containing all metrics as calculated by the ComplexityAnalyzer class.
+- [analyze_complexity.py](src/texty/analyze_complexity.py): Script that takes a .txt file and an output format as input and generates a file containing all metrics as calculated by the ComplexityAnalyzer class.
 
 
 ## ./examples
 ## ./examples
-- [example_text.txt](examples/example_text.txt): A simple .txt file to test the library.
+- [example_text.txt](examples/example_text.txt): Simple .txt file to test the library.
 - [example.ipynb](examples/example.ipynb): Colab notebook that shows how to use the ComplexityAnalyzer class.
 - [example.ipynb](examples/example.ipynb): Colab notebook that shows how to use the ComplexityAnalyzer class.
 
 
 
 
@@ -34,3 +34,11 @@ In this section, we introduce the different metrics offered in this Python libra
 * **Feature selection**: Remove features with low variance and SelectFromModel (Selection of functions based on L1)
 * **Feature selection**: Remove features with low variance and SelectFromModel (Selection of functions based on L1)
 
 
 * **kBest**: Selection of the k best features
 * **kBest**: Selection of the k best features
+
+
+# Usage
+
+You can run _Texty_ from terminal as follows:
+
+`analyze-complexity {text_file.txt} [-o output_format (csv, tsv or json)]`
+

src/texty/analyze_complexity.py

@@ -25,9 +25,6 @@ def analyze_complexity(args=None):
         exit()
         exit()
     
     
     # Instantiate the ComplexityAnalyzer class
     # Instantiate the ComplexityAnalyzer class
-    try:
-        nlp = spacy.load("es_core_news_sm")
-    except:
     spacy.cli.download("es_core_news_sm")
     spacy.cli.download("es_core_news_sm")
     nlp = spacy.load("es_core_news_sm")
     nlp = spacy.load("es_core_news_sm")
     complexity_analyzer = ComplexityAnalyzer("es", nlp)
     complexity_analyzer = ComplexityAnalyzer("es", nlp)