mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 16:17:57 +01:00
Add HTML support for gpt4chan
This commit is contained in:
oobabooga
parent
3d6a3aac73
commit
c7b29668a2
154
html_generator.py
Normal file
154
html_generator.py
Normal file
@ -0,0 +1,154 @@
|
||||
'''
|
||||
|
||||
This is a library for formatting gpt4chan outputs as nice HTML.
|
||||
|
||||
'''
|
||||
|
||||
import re
|
||||
|
||||
def process_post(post, c):
|
||||
t = post.split('\n')
|
||||
number = t[0].split(' ')[1]
|
||||
if len(t) > 1:
|
||||
src = '\n'.join(t[1:])
|
||||
else:
|
||||
src = ''
|
||||
src = re.sub('>', '>', src)
|
||||
src = re.sub('(>>[0-9]*)', '<span class="quote">\\1</span>', src)
|
||||
src = re.sub('\n', '<br>\n', src)
|
||||
src = f'<blockquote class="message">{src}\n'
|
||||
src = f'<span class="name">Anonymous </span> <span class="number">No.{number}</span>\n{src}'
|
||||
return src
|
||||
|
||||
def generate_html(f):
|
||||
css = """
|
||||
#container {
|
||||
background-color: #eef2ff;
|
||||
padding: 17px;
|
||||
}
|
||||
.reply {
|
||||
background-color: rgb(214, 218, 240);
|
||||
border-bottom-color: rgb(183, 197, 217);
|
||||
border-bottom-style: solid;
|
||||
border-bottom-width: 1px;
|
||||
border-image-outset: 0;
|
||||
border-image-repeat: stretch;
|
||||
border-image-slice: 100%;
|
||||
border-image-source: none;
|
||||
border-image-width: 1;
|
||||
border-left-color: rgb(0, 0, 0);
|
||||
border-left-style: none;
|
||||
border-left-width: 0px;
|
||||
border-right-color: rgb(183, 197, 217);
|
||||
border-right-style: solid;
|
||||
border-right-width: 1px;
|
||||
border-top-color: rgb(0, 0, 0);
|
||||
border-top-style: none;
|
||||
border-top-width: 0px;
|
||||
color: rgb(0, 0, 0);
|
||||
display: table;
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
margin-bottom: 4px;
|
||||
margin-left: 0px;
|
||||
margin-right: 0px;
|
||||
margin-top: 4px;
|
||||
overflow-x: hidden;
|
||||
overflow-y: hidden;
|
||||
padding-bottom: 2px;
|
||||
padding-left: 2px;
|
||||
padding-right: 2px;
|
||||
padding-top: 2px;
|
||||
}
|
||||
|
||||
.number {
|
||||
color: rgb(0, 0, 0);
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
width: 342.65px;
|
||||
}
|
||||
|
||||
.op {
|
||||
color: rgb(0, 0, 0);
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
margin-bottom: 8px;
|
||||
margin-left: 0px;
|
||||
margin-right: 0px;
|
||||
margin-top: 4px;
|
||||
overflow-x: hidden;
|
||||
overflow-y: hidden;
|
||||
}
|
||||
|
||||
.op blockquote {
|
||||
margin-left:7px;
|
||||
}
|
||||
|
||||
.name {
|
||||
color: rgb(17, 119, 67);
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
font-weight: 700;
|
||||
margin-left: 7px;
|
||||
}
|
||||
|
||||
.quote {
|
||||
color: rgb(221, 0, 0);
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
text-decoration-color: rgb(221, 0, 0);
|
||||
text-decoration-line: underline;
|
||||
text-decoration-style: solid;
|
||||
text-decoration-thickness: auto;
|
||||
}
|
||||
|
||||
.greentext {
|
||||
color: rgb(120, 153, 34);
|
||||
font-family: arial, helvetica, sans-serif;
|
||||
font-size: 13.3333px;
|
||||
}
|
||||
|
||||
blockquote {
|
||||
margin-block-start: 1em;
|
||||
margin-block-end: 1em;
|
||||
margin-inline-start: 40px;
|
||||
margin-inline-end: 40px;
|
||||
}
|
||||
"""
|
||||
|
||||
posts = []
|
||||
post = ''
|
||||
c = -2
|
||||
for line in f.splitlines():
|
||||
line += "\n"
|
||||
if line == '-----\n':
|
||||
continue
|
||||
elif line.startswith('--- '):
|
||||
c += 1
|
||||
if post != '':
|
||||
src = process_post(post, c)
|
||||
posts.append(src)
|
||||
post = line
|
||||
else:
|
||||
post += line
|
||||
if post != '':
|
||||
src = process_post(post, c)
|
||||
posts.append(src)
|
||||
|
||||
for i in range(len(posts)):
|
||||
if i == 0:
|
||||
posts[i] = f'<div class="op">{posts[i]}</div>\n'
|
||||
else:
|
||||
posts[i] = f'<div class="reply">{posts[i]}</div>\n'
|
||||
|
||||
output = ''
|
||||
output += f'<style>{css}</style><div id="container">'
|
||||
for post in posts:
|
||||
output += post
|
||||
output += '</div>'
|
||||
output = output.split('\n')
|
||||
for i in range(len(output)):
|
||||
output[i] = re.sub('^(>[^\n]*(<br>|</div>))', '<span class="greentext">\\1</span>\n', output[i])
|
||||
output = '\n'.join(output)
|
||||
|
||||
return output
|
||||
22
server.py
22
server.py
@ -7,15 +7,19 @@ import torch
|
||||
import argparse
|
||||
import gradio as gr
|
||||
import transformers
|
||||
from html_generator import *
|
||||
from transformers import AutoTokenizer
|
||||
from transformers import GPTJForCausalLM, AutoModelForCausalLM, AutoModelForSeq2SeqLM, OPTForCausalLM, T5Tokenizer, T5ForConditionalGeneration, GPTJModel, AutoModel
|
||||
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument('--model', type=str, help='Name of the model to load by default.')
|
||||
parser.add_argument('--notebook', action='store_true', help='Launch the webui in notebook mode, where the output is written to the same text box as the input.')
|
||||
args = parser.parse_args()
|
||||
loaded_preset = None
|
||||
available_models = sorted(set(map(lambda x : x.split('/')[-1].replace('.pt', ''), glob.glob("models/*[!\.][!t][!x][!t]")+ glob.glob("torch-dumps/*[!\.][!t][!x][!t]"))))
|
||||
available_models = sorted(set(map(lambda x : x.split('/')[-1].replace('.pt', ''), glob.glob("models/*")+ glob.glob("torch-dumps/*"))))
|
||||
available_models = [item for item in available_models if not item.endswith('.txt')]
|
||||
#available_models = sorted(set(map(lambda x : x.split('/')[-1].replace('.pt', ''), glob.glob("models/*[!\.][!t][!x][!t]")+ glob.glob("torch-dumps/*[!\.][!t][!x][!t]"))))
|
||||
|
||||
def load_model(model_name):
|
||||
print(f"Loading {model_name}...")
|
||||
@ -75,15 +79,17 @@ def generate_reply(question, temperature, max_length, inference_settings, select
|
||||
input_ids = tokenizer.encode(str(input_text), return_tensors='pt').cuda()
|
||||
|
||||
output = eval(f"model.generate(input_ids, {preset}).cuda()")
|
||||
|
||||
reply = tokenizer.decode(output[0], skip_special_tokens=True)
|
||||
|
||||
if model_name.startswith('gpt4chan'):
|
||||
reply = fix_gpt4chan(reply)
|
||||
|
||||
if model_name.lower().startswith('galactica'):
|
||||
return reply, reply
|
||||
return reply, reply, 'Only applicable for gpt4chan.'
|
||||
elif model_name.lower().startswith('gpt4chan'):
|
||||
return reply, 'Only applicable for galactica models.', generate_html(reply)
|
||||
else:
|
||||
return reply, 'Only applicable for galactica models.'
|
||||
return reply, 'Only applicable for galactica models.', 'Only applicable for gpt4chan.'
|
||||
|
||||
# Choosing the default model
|
||||
if args.model is not None:
|
||||
@ -121,6 +127,8 @@ if args.notebook:
|
||||
textbox = gr.Textbox(value=default_text, lines=23)
|
||||
with gr.Tab('Markdown'):
|
||||
markdown = gr.Markdown()
|
||||
with gr.Tab('HTML'):
|
||||
html = gr.HTML()
|
||||
btn = gr.Button("Generate")
|
||||
|
||||
with gr.Row():
|
||||
@ -131,7 +139,7 @@ if args.notebook:
|
||||
preset_menu = gr.Dropdown(choices=list(map(lambda x : x.split('/')[-1].split('.')[0], glob.glob("presets/*.txt"))), value="Default", label='Preset')
|
||||
model_menu = gr.Dropdown(choices=available_models, value=model_name, label='Model')
|
||||
|
||||
btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [textbox, markdown], show_progress=False)
|
||||
btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [textbox, markdown, html], show_progress=False)
|
||||
else:
|
||||
with gr.Blocks() as interface:
|
||||
gr.Markdown(
|
||||
@ -154,7 +162,9 @@ else:
|
||||
output_textbox = gr.Textbox(value=default_text, lines=15, label='Output')
|
||||
with gr.Tab('Markdown'):
|
||||
markdown = gr.Markdown()
|
||||
with gr.Tab('HTML'):
|
||||
html = gr.HTML()
|
||||
|
||||
btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [output_textbox, markdown], show_progress=True)
|
||||
btn.click(generate_reply, [textbox, temp_slider, length_slider, preset_menu, model_menu], [output_textbox, markdown, html], show_progress=True)
|
||||
|
||||
interface.launch(share=False, server_name="0.0.0.0")
|
||||
|
||||
Loading…
Reference in New Issue
Block a user