Spaces:
Sleeping
Sleeping
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from peft import PeftModel | |
import streamlit as st | |
st.set_page_config(page_title = "Q&A Demo") | |
st.header("Reviewer #2 Bot") | |
title = st.text_input("Title : ") | |
submit = st.button("Submit") | |
model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") | |
model = PeftModel.from_pretrained(model, "shionhonda/tiny-llama-reviewer2-1.1B-dpo-lora") | |
tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") | |
prompt = tokenizer.apply_chat_template([ | |
{"role": "system", "content": "You are an experienced researcher and a reviewer of scientific papers. Given a title of the paper, write a review about it in one sentence."}, | |
{"role": "user", "content": title} | |
], tokenize=False, add_generation_prompt=True) | |
inputs = tokenizer(prompt, return_tensors="pt") | |
generate_ids = model.generate(inputs.input_ids, max_new_tokens=50, do_sample=True, temperature=0.5, top_k=50, top_p=0.95) | |
if submit: | |
st.subheader("Reviewer #2:") | |
st.write(tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]) | |