Update app.py

app.py

@@ -6,6 +6,7 @@ import subprocess
 import nltk
 from nltk.corpus import wordnet
 import language_tool_python
+
 tool = language_tool_python.LanguageTool('en-US')
 
 # Function to correct tense errors using LanguageTool
@@ -15,10 +16,6 @@ def correct_tense_errors(text):
     corrected_text = language_tool_python.utils.correct(text, matches)
     return corrected_text
 
-
-
-    
-
 # Initialize the English text classification pipeline for AI detection
 pipeline_en = pipeline(task="text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta")
 
@@ -64,16 +61,6 @@ def capitalize_sentences_and_nouns(text):
 
     return ' '.join(corrected_text)
 
-# Function to correct tense errors in a sentence (Tense Correction)
-#def correct_tense_errors(text):
-#    doc = nlp(text)
-###       if token.pos_ == "VERB" and token.dep_ in {"aux", "auxpass"}:
-##            lemma = wordnet.morphy(token.text, wordnet.VERB) or token.text
-#            corrected_text.append(lemma)
- #       else:
-  #          corrected_text.append(token.text)
-  #  return ' '.join(corrected_text)
-
 # Function to correct singular/plural errors (Singular/Plural Correction)
 def correct_singular_plural_errors(text):
     doc = nlp(text)
@@ -150,7 +137,7 @@ def paraphrase_with_spacy_nltk(text):
 
 # Combined function: Paraphrase -> Grammar Correction -> Capitalization (Humanifier)
 def paraphrase_and_correct(text):
-   paraphrased_text = paraphrase_with_spacy_nltk(text)
+    paraphrased_text = paraphrase_with_spacy_nltk(text)
     
     # Step 2: Apply grammatical corrections on the paraphrased text
     corrected_text = correct_article_errors(paraphrased_text)