app.py

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, logging
from huggingface_hub import notebook_login
notebook_login()
# Ignore warnings
logging.set_verbosity(logging.CRITICAL)

# Load the model and tokenizer with authentication token
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'])