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Running
on
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Running
on
Zero
from threading import Thread | |
import gradio as gr | |
import spaces | |
from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer | |
TITLE = "<h1><center>Chat with Llama3-8B-Chinese-Chat-v2</center></h1>" | |
DESCRIPTION = "<h3><center>Visit <a href='https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat' target='_blank'>our model page</a> for details.</center></h3>" | |
DEFAULT_SYSTEM = "You are Llama3-8B-Chinese-Chat-v2, finetuned from Llama3-8B-Instruct on Chinese-English dataset using the ORPO algorithm. You are a helpful assistant." | |
TOOL_EXAMPLE = '''You have access to the following tools: | |
```python | |
def generate_password(length: int, include_symbols: Optional[bool]): | |
""" | |
Generate a random password. | |
Args: | |
length (int): The length of the password | |
include_symbols (Optional[bool]): Include symbols in the password | |
""" | |
pass | |
``` | |
Write "Action:" followed by a list of actions in JSON that you want to call, e.g. | |
Action: | |
```json | |
[ | |
{ | |
"name": "tool name (one of [google_search])", | |
"arguments": "the input to the tool" | |
} | |
] | |
``` | |
''' | |
CSS = """ | |
.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, system: str, temperature: float, max_new_tokens: int): | |
conversation = [{"role": "system", "content": system or DEFAULT_SYSTEM}] | |
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, add_generation_prompt=True, 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: | |
output += new_token | |
yield output | |
chatbot = gr.Chatbot(height=450) | |
with gr.Blocks(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, | |
chatbot=chatbot, | |
fill_height=True, | |
additional_inputs_accordion=gr.Accordion(label="⚙️ Parameters", open=False, render=False), | |
additional_inputs=[ | |
gr.Text( | |
value="You are a helpful assistant.", | |
label="System", | |
render=False, | |
), | |
gr.Slider( | |
minimum=0, | |
maximum=1, | |
step=0.1, | |
value=0.8, | |
label="Temperature", | |
render=False, | |
), | |
gr.Slider( | |
minimum=128, | |
maximum=4096, | |
step=1, | |
value=512, | |
label="Max new tokens", | |
render=False, | |
), | |
], | |
examples=[ | |
["我的蓝牙耳机坏了,我该去看牙科还是耳鼻喉科?", ""], | |
["小明有18支铅笔和24张纸,他想将它们分成每份相同的组,每组既有铅笔又有纸,问他最少可以分成几组,每组有多少支铅笔和多少张纸?", ""], | |
["我的笔记本找不到了。", "扮演诸葛亮和我对话。"], | |
["我想要一个新的密码,长度为8位,包含特殊符号。", TOOL_EXAMPLE], | |
], | |
cache_examples=False, | |
) | |
if __name__ == "__main__": | |
demo.launch() | |