app.py

import gradio as gr
from transformers import LlamaForConditionalGeneration, LlamaTokenizer

# Load pre-trained model and tokenizer
model_name = "meta-ai/llama-3.2-3b-instruct"
model = LlamaForConditionalGeneration.from_pretrained(model_name)
tokenizer = LlamaTokenizer.from_pretrained(model_name)

def evaluate_password_strength(password):
    # Use the Llama model to evaluate the password strength
    input_text = f"Rate the strength of the password: {password}"
    inputs = tokenizer(input_text, return_tensors="pt")
    output = model.generate(**inputs)
    response = tokenizer.decode(output[0], skip_special_tokens=True)
    
    return response

demo = gr.Interface(
    evaluate_password_strength,
    gr.Textbox(label="Enter your password"),
    gr.Textbox(label="Password Strength Evaluation"),
    title="Password Strength Evaluator",
    description="Get the AI's evaluation of your password strength.",
)

if __name__ == "__main__":
    demo.launch()