Spaces:
Running
on
Zero
Running
on
Zero
import gradio as gr | |
import spaces | |
import torch | |
from threading import Thread | |
from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer | |
TITLE = "<h1><center>LLaMA Board: A One-stop Web UI for Getting Started with LLaMA Factory</center></h1>" | |
DESCRIPTION = "<h3><center>Visit <a href='' target='_blank'>LLaMA Factory</a> for details.</center></h3>" | |
CSS = r""" | |
.duplicate-button { | |
margin: auto !important; | |
color: white !important; | |
background: black !important; | |
border-radius: 100vh !important; | |
} | |
""" | |
tokenizer = AutoTokenizer.from_pretrained("shenzhi-wang/Llama3-8B-Chinese-Chat") | |
model = AutoModelForCausalLM.from_pretrained("shenzhi-wang/Llama3-8B-Chinese-Chat", device_map="auto") | |
def stream_chat(message: str, history: list, temperature: float, max_new_tokens: int): | |
conversation = [] | |
for prompt, answer in history: | |
conversation.extend([{"role": "user", "content": prompt}, {"role": "assistant", "content": answer}]) | |
conversation.append({"role": "user", "content": message}) | |
input_ids = tokenizer.apply_chat_template(conversation, return_tensors="pt").to(model.device) | |
streamer = TextIteratorStreamer(tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True) | |
generate_kwargs = dict( | |
input_ids=input_ids, | |
streamer=streamer, | |
max_new_tokens=max_new_tokens, | |
temperature=temperature, | |
do_sample=True, | |
) | |
if temperature == 0: | |
generate_kwargs["do_sample"] = False | |
t = Thread(target=model.generate, kwargs=generate_kwargs) | |
t.start() | |
output = "" | |
for new_token in streamer: | |
outputs += new_token | |
yield output | |
with gr.Blocks(fill_height=True, css=CSS) as demo: | |
gr.HTML(TITLE) | |
gr.HTML(DESCRIPTION) | |
gr.DuplicateButton(value="Duplicate Space for private use", elem_classes="duplicate-button") | |
gr.ChatInterface( | |
fn=stream_chat, | |
fill_height=True, | |
additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False), | |
additional_inputs=[ | |
gr.Slider( | |
minimum=0, | |
maximum=1, | |
step=0.1, | |
value=0.95, | |
label="Temperature", | |
render=False, | |
), | |
gr.Slider( | |
minimum=128, | |
maximum=4096, | |
step=1, | |
value=512, | |
label="Max new tokens", | |
render=False, | |
), | |
], | |
examples=[ | |
['How to setup a human base on Mars? Give short answer.'], | |
['Explain theory of relativity to me like I’m 8 years old.'], | |
['What is 9,000 * 9,000?'], | |
['Write a pun-filled happy birthday message to my friend Alex.'], | |
['Justify why a penguin might make a good king of the jungle.'] | |
], | |
cache_examples=False, | |
) | |
if __name__ == "__main__": | |
demo.launch() | |