Update app.py

app.py

@@ -1,4 +1,3 @@
-
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, logging
 
 # Ignore warnings
@@ -9,9 +8,10 @@ model_name = "King-Harry/NinjaMasker-PII-Redaction"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
+# Generate text
 pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=100)
 prompt = "My name is Harry and I live in Winnipeg. My phone number is ummm 204 no 203, ahh 4344, no 4355"
 result = pipe(f"<s>[INST] {prompt} [/INST]")
 
 # Print the generated text
-print(result[0]['generated_text'])
+print(result[0]['generated_text'])