Update app.py

app.py

@@ -125,11 +125,10 @@ def deanonymize_fn(anonymized_llm_response, entity_map):
     return result, "De-anonymized successfully!"
 
 
-md_text = """# Anonymizing LLM Prompts
+md_text = """# Анонимизатор психотерапевтических сессий
 
-Paste text into "Original Text" section to remove sensitive information, using `gliner_multi_pii-v1` for recognition.
+Вставьте текст в раздел "Original Text", чтобы анонимизировать сензитивные данные.
 
-The demo is adapted from [Elara](https://github.com/amanvirparhar/elara) by amanvirparhar. If you like this one, give the original a star! 
 """
 
 with gr.Blocks() as demo: