Update app.py

app.py

@@ -25,6 +25,24 @@ except OSError:
     subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"])
     nlp = spacy.load("en_core_web_sm")
 
+# Function to capitalize the first letter of sentences and proper nouns (Humanifier)
+def capitalize_sentences_and_nouns(text):
+    doc = nlp(text)
+    corrected_text = []
+
+    for sent in doc.sents:
+        sentence = []
+        for token in sent:
+            if token.i == sent.start:  # First word of the sentence
+                sentence.append(token.text.capitalize())
+            elif token.pos_ == "PROPN":  # Proper noun
+                sentence.append(token.text.capitalize())
+            else:
+                sentence.append(token.text)
+        corrected_text.append(' '.join(sentence))
+
+    return ' '.join(corrected_text)
+
 # Function to get synonyms using NLTK WordNet and keep the same grammatical form
 def get_synonym(word, pos_tag):
     synsets = wordnet.synsets(word)
@@ -85,6 +103,62 @@ def paraphrase_and_correct(text):
     
     return paraphrased_text
 
+# Function to correct tense errors in a sentence (Tense Correction)
+def correct_tense_errors(text):
+    doc = nlp(text)
+    corrected_text = []
+    for token in doc:
+        # Check for tense correction based on modal verbs
+        if token.pos_ == "VERB" and token.dep_ in {"aux", "auxpass"}:
+            # Replace with appropriate verb form
+            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)
+    corrected_text = []
+    
+    for token in doc:
+        if token.pos_ == "NOUN":
+            # Check if the noun is singular or plural
+            if token.tag_ == "NN":  # Singular noun
+                # Look for determiners like "many", "several", "few" to correct to plural
+                if any(child.text.lower() in ['many', 'several', 'few'] for child in token.head.children):
+                    corrected_text.append(token.lemma_ + 's')
+                else:
+                    corrected_text.append(token.text)
+            elif token.tag_ == "NNS":  # Plural noun
+                # Look for determiners like "a", "one" to correct to singular
+                if any(child.text.lower() in ['a', 'one'] for child in token.head.children):
+                    corrected_text.append(token.lemma_)
+                else:
+                    corrected_text.append(token.text)
+        else:
+            corrected_text.append(token.text)
+    
+    return ' '.join(corrected_text)
+
+# Function to check and correct article errors
+def correct_article_errors(text):
+    doc = nlp(text)
+    corrected_text = []
+    for token in doc:
+        if token.text in ['a', 'an']:
+            next_token = token.nbor(1)
+            if token.text == "a" and next_token.text[0].lower() in "aeiou":
+                corrected_text.append("an")
+            elif token.text == "an" and next_token.text[0].lower() not in "aeiou":
+                corrected_text.append("a")
+            else:
+                corrected_text.append(token.text)
+        else:
+            corrected_text.append(token.text)
+    return ' '.join(corrected_text)
+
 # Gradio app setup with two tabs
 with gr.Blocks() as demo:
     with gr.Tab("AI Detection"):
@@ -105,4 +179,4 @@ with gr.Blocks() as demo:
         paraphrase_button.click(paraphrase_and_correct, inputs=text_input, outputs=output_text)
 
 # Launch the app with the remaining functionalities
-demo.launch()
+demo.launch(share=True)