|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
from textwrap import dedent |
|
|
|
|
|
|
|
from transformers import AutoModel, AutoTokenizer |
|
import gradio as gr |
|
import mdtex2html |
|
|
|
from loguru import logger |
|
|
|
model_name = "THUDM/chatglm2-6b" |
|
model_name = "THUDM/chatglm2-6b-int4" |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) |
|
|
|
|
|
|
|
|
|
|
|
|
|
import torch |
|
|
|
has_cuda = torch.cuda.is_available() |
|
|
|
|
|
if has_cuda: |
|
model = AutoModel.from_pretrained(model_name, trust_remote_code=True).cuda() |
|
else: |
|
model = AutoModel.from_pretrained(model_name, trust_remote_code=True).half() |
|
|
|
model = model.eval() |
|
|
|
_ = """Override Chatbot.postprocess""" |
|
|
|
def postprocess(self, y): |
|
if y is None: |
|
return [] |
|
for i, (message, response) in enumerate(y): |
|
y[i] = ( |
|
None if message is None else mdtex2html.convert((message)), |
|
None if response is None else mdtex2html.convert(response), |
|
) |
|
return y |
|
|
|
|
|
gr.Chatbot.postprocess = postprocess |
|
|
|
|
|
def parse_text(text): |
|
"""copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/""" |
|
lines = text.split("\n") |
|
lines = [line for line in lines if line != ""] |
|
count = 0 |
|
for i, line in enumerate(lines): |
|
if "```" in line: |
|
count += 1 |
|
items = line.split('`') |
|
if count % 2 == 1: |
|
lines[i] = f'<pre><code class="language-{items[-1]}">' |
|
else: |
|
lines[i] = f'<br></code></pre>' |
|
else: |
|
if i > 0: |
|
if count % 2 == 1: |
|
line = line.replace("`", "\`") |
|
line = line.replace("<", "<") |
|
line = line.replace(">", ">") |
|
line = line.replace(" ", " ") |
|
line = line.replace("*", "*") |
|
line = line.replace("_", "_") |
|
line = line.replace("-", "-") |
|
line = line.replace(".", ".") |
|
line = line.replace("!", "!") |
|
line = line.replace("(", "(") |
|
line = line.replace(")", ")") |
|
line = line.replace("$", "$") |
|
lines[i] = "<br>"+line |
|
text = "".join(lines) |
|
return text |
|
|
|
|
|
def predict(RETRY_FLAG, input, chatbot, max_length, top_p, temperature, history, past_key_values): |
|
try: |
|
chatbot.append((parse_text(input), "")) |
|
except Exception as exc: |
|
logger.error(exc) |
|
chatbot[-1] = (parse_text(input), str(exc)) |
|
yield chatbot, history, past_key_values |
|
|
|
for response, history, past_key_values in model.stream_chat(tokenizer, input, history, past_key_values=past_key_values, |
|
return_past_key_values=True, |
|
max_length=max_length, top_p=top_p, |
|
temperature=temperature): |
|
chatbot[-1] = (parse_text(input), parse_text(response)) |
|
|
|
yield chatbot, history, past_key_values |
|
|
|
|
|
def trans_api(input, max_length=4096, top_p=0.8, temperature=0.2): |
|
if max_length < 10: |
|
max_length = 4096 |
|
if top_p < 0.1 or top_p > 1: |
|
top_p = 0.85 |
|
if temperature <= 0 or temperature > 1: |
|
temperature = 0.01 |
|
try: |
|
res, _ = model.chat( |
|
tokenizer, |
|
input, |
|
history=[], |
|
past_key_values=None, |
|
max_length=max_length, |
|
top_p=top_p, |
|
temperature=temperature, |
|
) |
|
|
|
except Exception as exc: |
|
logger.error(f"{exc=}") |
|
res = str(exc) |
|
|
|
return res |
|
|
|
|
|
def reset_user_input(): |
|
return gr.update(value='') |
|
|
|
|
|
def reset_state(): |
|
return [], [], None |
|
|
|
|
|
def delete_last_turn(chat, history): |
|
if chat and history: |
|
chat.pop(-1) |
|
history.pop(-1) |
|
return chat, history |
|
|
|
|
|
|
|
def retry_last_answer( |
|
user_input, |
|
chatbot, |
|
max_length, |
|
top_p, |
|
temperature, |
|
history, |
|
past_key_values |
|
): |
|
|
|
if chatbot and history: |
|
|
|
chatbot.pop(-1) |
|
|
|
RETRY_FLAG = True |
|
|
|
user_input = history[-1][0] |
|
|
|
history.pop(-1) |
|
|
|
yield from predict( |
|
RETRY_FLAG, |
|
user_input, |
|
chatbot, |
|
max_length, |
|
top_p, |
|
temperature, |
|
history, |
|
past_key_values |
|
) |
|
|
|
with gr.Blocks(theme=gr.themes.Soft()) as demo: |
|
gr.HTML("""<h1 align="center">ChatGLM2-6B-int4</h1>""") |
|
gr.HTML("""<center><a href="https://huggingface.co/spaces/mikeee/chatglm2-6b-4bit?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>To avoid the queue and for faster inference Duplicate this Space and upgrade to GPU</center>""") |
|
|
|
with gr.Accordion("Info", open=False): |
|
_ = """ |
|
A query takes from 30 seconds to a few tens of seconds, dependent on the number of words/characters |
|
the question and answer contain. |
|
|
|
* Low temperature: responses will be more deterministic and focused; High temperature: responses more creative. |
|
|
|
* Suggested temperatures -- translation: up to 0.3; chatting: > 0.4 |
|
|
|
* Top P controls dynamic vocabulary selection based on context. |
|
|
|
For a table of example values for different scenarios, refer to [this](https://community.openai.com/t/cheat-sheet-mastering-temperature-and-top-p-in-chatgpt-api-a-few-tips-and-tricks-on-controlling-the-creativity-deterministic-output-of-prompt-responses/172683) |
|
|
|
If the instance is not on a GPU (T4), it will be very slow. You can try to run the colab notebook [chatglm2-6b-4bit colab notebook](https://colab.research.google.com/drive/1WkF7kOjVCcBBatDHjaGkuJHnPdMWNtbW?usp=sharing) for a spin. |
|
|
|
The T4 GPU is sponsored by a community GPU grant from Huggingface. Thanks a lot! |
|
""" |
|
gr.Markdown(dedent(_)) |
|
chatbot = gr.Chatbot() |
|
with gr.Row(): |
|
with gr.Column(scale=4): |
|
with gr.Column(scale=12): |
|
user_input = gr.Textbox(show_label=False, placeholder="Input...", ).style( |
|
container=False) |
|
RETRY_FLAG = gr.Checkbox(value=False, visible=False) |
|
with gr.Column(min_width=32, scale=1): |
|
with gr.Row(): |
|
submitBtn = gr.Button("Submit", variant="primary") |
|
deleteBtn = gr.Button("Delete last turn", variant="secondary") |
|
retryBtn = gr.Button("Regenerate", variant="secondary") |
|
with gr.Column(scale=1): |
|
emptyBtn = gr.Button("Clear History") |
|
max_length = gr.Slider(0, 32768, value=8192/2, step=1.0, label="Maximum length", interactive=True) |
|
top_p = gr.Slider(0, 1, value=0.85, step=0.01, label="Top P", interactive=True) |
|
temperature = gr.Slider(0.01, 1, value=0.95, step=0.01, label="Temperature", interactive=True) |
|
|
|
history = gr.State([]) |
|
past_key_values = gr.State(None) |
|
|
|
user_input.submit(predict, [RETRY_FLAG, user_input, chatbot, max_length, top_p, temperature, history, past_key_values], |
|
[chatbot, history, past_key_values], show_progress=True) |
|
submitBtn.click(predict, [RETRY_FLAG, user_input, chatbot, max_length, top_p, temperature, history, past_key_values], |
|
[chatbot, history, past_key_values], show_progress=True, api_name="predict") |
|
submitBtn.click(reset_user_input, [], [user_input]) |
|
|
|
emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True) |
|
|
|
retryBtn.click( |
|
retry_last_answer, |
|
inputs = [user_input, chatbot, max_length, top_p, temperature, history, past_key_values], |
|
|
|
outputs=[chatbot, history, past_key_values] |
|
) |
|
deleteBtn.click(delete_last_turn, [chatbot, history], [chatbot, history]) |
|
|
|
with gr.Accordion("Example inputs", open=True): |
|
etext = """In America, where cars are an important part of the national psyche, a decade ago people had suddenly started to drive less, which had not happened since the oil shocks of the 1970s. """ |
|
examples = gr.Examples( |
|
examples=[ |
|
["Explain the plot of Cinderella in a sentence."], |
|
["How long does it take to become proficient in French, and what are the best methods for retaining information?"], |
|
["What are some common mistakes to avoid when writing code?"], |
|
["Build a prompt to generate a beautiful portrait of a horse"], |
|
["Suggest four metaphors to describe the benefits of AI"], |
|
["Write a pop song about leaving home for the sandy beaches."], |
|
["Write a summary demonstrating my ability to tame lions"], |
|
["鲁迅和周树人什么关系"], |
|
["从前有一头牛,这头牛后面有什么?"], |
|
["正无穷大加一大于正无穷大吗?"], |
|
["正无穷大加正无穷大大于正无穷大吗?"], |
|
["-2的平方根等于什么"], |
|
["树上有5只鸟,猎人开枪打死了一只。树上还有几只鸟?"], |
|
["树上有11只鸟,猎人开枪打死了一只。树上还有几只鸟?提示:需考虑鸟可能受惊吓飞走。"], |
|
["鲁迅和周树人什么关系 用英文回答"], |
|
["以红楼梦的行文风格写一张委婉的请假条。不少于320字。"], |
|
[f"{etext} 翻成中文,列出3个版本"], |
|
[f"{etext} \n 翻成中文,保留原意,但使用文学性的语言。不要写解释。列出3个版本"], |
|
["js 判断一个数是不是质数"], |
|
["js 实现python 的 range(10)"], |
|
["js 实现python 的 [*(range(10)]"], |
|
["假定 1 + 2 = 4, 试求 7 + 8"], |
|
["Erkläre die Handlung von Cinderella in einem Satz."], |
|
["Erkläre die Handlung von Cinderella in einem Satz. Auf Deutsch"], |
|
], |
|
inputs = [user_input], |
|
) |
|
|
|
with gr.Accordion("For Translation API", open=False): |
|
input_text = gr.Text() |
|
tr_btn = gr.Button("Go", variant="primary") |
|
out_text = gr.Text() |
|
tr_btn.click(trans_api, [input_text, max_length, top_p, temperature], out_text, show_progress=True, api_name="tr") |
|
input_text.submit(trans_api, [input_text, max_length, top_p, temperature], out_text, show_progress=True, api_name="tr") |
|
|
|
|
|
|
|
|
|
demo.queue().launch(debug=True) |