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import streamlit as st
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
MODEL_NAME = "segolilylabs/Lily-Cybersecurity-7B-v0.2"
@st.cache_resource()
def load_model():
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16, device_map="auto")
return tokenizer, model
tokenizer, model = load_model()
st.title("🔐 Cybersecurity Chatbot")
user_input = st.text_input("Ask a cybersecurity question:")
if user_input:
input_ids = tokenizer.encode(user_input, return_tensors="pt").to("cuda")
output = model.generate(input_ids, max_length=200)
response = tokenizer.decode(output[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
st.write("🤖", response)
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