solving issues to work as library

TextAnalysisSpacy.py

 # Only required for analysis in Spanish
 import spacy.cli 
-spacy.cli.download("es_core_news_sm")
-import es_core_news_sm
 
 # Imports
 import spacy
@@ -9,6 +7,7 @@ import numpy as np
 from tqdm import tqdm
 import re
 import pandas as pd
+from TextComplexitySpacy import TextComplexitySpacy
 
 import matplotlib.pyplot as plt
 #%matplotlib inline ## when in Jupyter
@@ -25,9 +24,9 @@ class TextAnalysisSpacy():
 
       # Create language analyzer
       if lang == 'es':
-        self.nlp = es_core_news_sm.load()
+        spacy.cli.download("es_core_news_sm")
+        self.nlp = spacy.load("es_core_news_sm")
         self.textComplexitySpacy = TextComplexitySpacy()
-        self.nlp = es_core_news_sm.load()
       elif lang == 'en':
         self.nlp = spacy.load("en_core_web_sm")
         self.textComplexitySpacy = TextComplexitySpacy('en')
@@ -49,8 +48,8 @@ class TextAnalysisSpacy():
 
         # Create category dictionary
         self.dic_categorias = {}
-        for i in range(len(df)): 
-          if df.iloc[i,0] in self.dic_categorias:
+        for i in range(len(self.df)): 
+          if self.df.iloc[i,0] in self.dic_categorias:
             self.dic_categorias[df.iloc[i,0]] += 1
           else:
             self.dic_categorias[df.iloc[i,0]] = 1

TextComplexitySpacy.py

 from functools import reduce
+import spacy
 import math
 import syllables
 
@@ -12,7 +13,7 @@ class TextComplexitySpacy():
 
         # create language analyzer
         if lang == 'es':
-          self.nlp = es_core_news_sm.load()
+          self.nlp = spacy.load("es_core_news_sm")
         if lang == 'en':
           self.nlp = spacy.load("en_core_web_sm")