| import gradio as gr |
| from transformers import pipeline |
|
|
| |
| model_id = "AlicanKiraz0/Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF" |
| pipe = pipeline("text-generation", model=model_id, device_map="auto") |
|
|
| def generate(prompt): |
| result = pipe(prompt, max_new_tokens=512)[0]["generated_text"] |
| return result |
|
|
| iface = gr.Interface( |
| fn=generate, |
| inputs=gr.Textbox(label="Prompt", lines=5), |
| outputs=gr.Textbox(label="Response", lines=10), |
| title="Offensive Security LLM", |
| description="Ask about exploits, red team tactics, or vulnerability analysis." |
| ) |
| iface.launch() |