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add web_demo adapted from ChatGLM-6B
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@@ -9,3 +9,5 @@ jieba | |
rouge_chinese | ||
nltk | ||
git+https://github.com/huggingface/peft.git | ||
gradio | ||
mdtex2html |
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"""copy from https://github.com/THUDM/ChatGLM-6B""" | ||
import gradio as gr | ||
import mdtex2html | ||
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from utils import ModelArguments, load_pretrained | ||
from transformers import HfArgumentParser | ||
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parser = HfArgumentParser(ModelArguments) | ||
model_args, = parser.parse_args_into_dataclasses() | ||
model, tokenizer = load_pretrained(model_args) | ||
model = model.half().cuda() | ||
model = model.eval() | ||
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"""Override Chatbot.postprocess""" | ||
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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 | ||
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gr.Chatbot.postprocess = postprocess | ||
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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 | ||
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def predict(input, chatbot, max_length, top_p, temperature, history): | ||
chatbot.append((parse_text(input), "")) | ||
for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p, | ||
temperature=temperature): | ||
chatbot[-1] = (parse_text(input), parse_text(response)) | ||
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yield chatbot, history | ||
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def reset_user_input(): | ||
return gr.update(value='') | ||
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def reset_state(): | ||
return [], [] | ||
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with gr.Blocks() as demo: | ||
gr.HTML("""<h1 align="center">ChatGLM-Efficient-Tuning</h1>""") | ||
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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...", lines=10).style( | ||
container=False) | ||
with gr.Column(min_width=32, scale=1): | ||
submitBtn = gr.Button("Submit", variant="primary") | ||
with gr.Column(scale=1): | ||
emptyBtn = gr.Button("Clear History") | ||
max_length = gr.Slider(0, 4096, value=2048, step=1.0, label="Maximum length", interactive=True) | ||
top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True) | ||
temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True) | ||
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history = gr.State([]) | ||
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submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history], [chatbot, history], | ||
show_progress=True) | ||
submitBtn.click(reset_user_input, [], [user_input]) | ||
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emptyBtn.click(reset_state, outputs=[chatbot, history], show_progress=True) | ||
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demo.queue().launch(server_name="0.0.0.0", share=False, inbrowser=True) |