jam_shield_LLM_app / appyy.py
asataura's picture
Integrating the DRL and LLM
3a53910
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
import streamlit as st
model = "tiiuae/falcon-7b-instruct"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
torch_dtype=torch.bfloat16,
trust_remote_code=True,
device_map="auto",
)
sequences = pipeline(
"Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
max_length=200,
do_sample=True,
top_k=10,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
)
st.title("Beyond the Anti-Jam: Integration of DRL with LLM")
for seq in sequences:
st.write(f"Result: {seq['generated_text']}")