pentesting_assistant.py

from transformers import pipeline, AlbertTokenizer, AlbertForSequenceClassification

# Load model
model = AlbertForSequenceClassification.from_pretrained('./pentesting_albert_model')
tokenizer = AlbertTokenizer.from_pretrained('./pentesting_albert_model')

# Create text-generation pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

while True:
    user_input = input("Kamu: ")
    if user_input.lower() == "keluar":
        break

    # Generate response
    response = generator(user_input, max_length=50, num_return_sequences=1, do_sample=True, top_k=50, top_p=0.95)

    print("Asisten: ", response[0]['generated_text'])