Add anonymization app 3

app.py

@@ -7,7 +7,7 @@ generator = pipeline("text2text-generation", model="t5-small", tokenizer="t5-sma
 # Function to construct the anonymization prompt
 def construct_prompt(input_text):
     prompt = f"""
-    You are a text anonymizer. Your task is to process a given text, identify all personal names, replace them with unique and realistic pseudonyms, and return both the anonymized text and a dictionary linking the original names to the replacement names.
+    You are a text anonymizer. Your task is to process a given text, identify all entity or personnal names, replace them with unique and realistic pseudonyms, and return both the anonymized text and a dictionary linking the original names to the replacement names.
 
     The input text will be provided, and your output should follow this JSON structure:
     {{
@@ -19,7 +19,7 @@ def construct_prompt(input_text):
     }}
 
     ### Guidelines:
-    1. Only replace personal names (e.g., first names, last names, or full names).
+    1. Only replace entity names.
     2. Ensure the pseudonyms are realistic and appropriate for the type of name being replaced.
     3. Keep all other parts of the text unchanged.
     4. If no names are found, return the original text with an empty dictionary.