mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-09-19 15:56:56 +00:00
Add probability dropdown to perplexity_colors extension (#3148)
This commit is contained in:
SeanScripts
GitHub
parent
0dfd1a8b7d
commit
2c1fd0d72b
@ -1,17 +1,25 @@
|
||||
import re
|
||||
import time
|
||||
|
||||
import gradio
|
||||
import markdown
|
||||
import numpy as np
|
||||
import torch
|
||||
from transformers import LogitsProcessor
|
||||
import numpy as np
|
||||
|
||||
from modules import shared
|
||||
from modules import html_generator, shared
|
||||
from modules.html_generator import replace_blockquote
|
||||
|
||||
params = {
|
||||
'active': True,
|
||||
'color_by_perplexity': False,
|
||||
'color_by_probability': False,
|
||||
'ppl_scale': 15.0, # No slider for this right now, because I don't think it really needs to be changed. Very large perplexity scores don't show up often.
|
||||
#'probability_dropdown': False
|
||||
'ppl_scale': 15.0, # No slider for this right now, because I don't think it really needs to be changed. Very large perplexity scores don't show up often.
|
||||
'probability_dropdown': False,
|
||||
'verbose': False # For debugging mostly
|
||||
}
|
||||
|
||||
|
||||
class PerplexityLogits(LogitsProcessor):
|
||||
def __init__(self, verbose=False):
|
||||
self.generated_token_ids = []
|
||||
@ -23,9 +31,10 @@ class PerplexityLogits(LogitsProcessor):
|
||||
self.verbose = verbose
|
||||
|
||||
def __call__(self, input_ids, scores):
|
||||
# t0 = time.time()
|
||||
probs = torch.softmax(scores, dim=-1, dtype=torch.float)
|
||||
log_probs = torch.nan_to_num(torch.log(probs))
|
||||
entropy = -torch.sum(probs*log_probs)
|
||||
log_probs = torch.nan_to_num(torch.log(probs)) # Note: This is to convert log(0) nan to 0, but probs*log_probs makes this 0 not affect the perplexity.
|
||||
entropy = -torch.sum(probs * log_probs)
|
||||
entropy = entropy.cpu().numpy()
|
||||
perplexity = round(float(np.exp(entropy)), 4)
|
||||
self.perplexities_list.append(perplexity)
|
||||
@ -36,25 +45,25 @@ class PerplexityLogits(LogitsProcessor):
|
||||
if len(self.selected_probs) > 0:
|
||||
# Is the selected token in the top tokens?
|
||||
if self.verbose:
|
||||
print(shared.tokenizer.decode(last_token_id))
|
||||
print([shared.tokenizer.decode(token_id) for token_id in self.top_token_ids_list[-1]])
|
||||
print(self.top_probs_list[-1])
|
||||
if last_token_id in self.top_token_ids_list[-1]:
|
||||
idx = self.top_token_ids_list[-1].index(last_token_id)
|
||||
self.selected_probs.append(self.top_probs_list[-1][idx])
|
||||
print('Probs: Token after', shared.tokenizer.decode(last_token_id))
|
||||
print('Probs:', [shared.tokenizer.decode(token_id) for token_id in self.top_token_ids_list[-1][0]])
|
||||
print('Probs:', [round(float(prob), 4) for prob in self.top_probs_list[-1][0]])
|
||||
if last_token_id in self.top_token_ids_list[-1][0]:
|
||||
idx = self.top_token_ids_list[-1][0].index(last_token_id)
|
||||
self.selected_probs.append(self.top_probs_list[-1][0][idx])
|
||||
else:
|
||||
self.top_token_ids_list[-1].append(last_token_id)
|
||||
self.top_token_ids_list[-1][0].append(last_token_id)
|
||||
last_prob = round(float(self.last_probs[last_token_id]), 4)
|
||||
self.top_probs_list[-1].append(last_prob)
|
||||
self.top_probs_list[-1][0].append(last_prob)
|
||||
self.selected_probs.append(last_prob)
|
||||
else:
|
||||
self.selected_probs.append(1.0) # Placeholder for the last token of the prompt
|
||||
self.selected_probs.append(1.0) # Placeholder for the last token of the prompt
|
||||
|
||||
if self.verbose:
|
||||
pplbar = "-"
|
||||
if not np.isnan(perplexity):
|
||||
pplbar = "*"*round(perplexity)
|
||||
print(f"{last_token}\t{perplexity:.2f}\t{pplbar}")
|
||||
pplbar = "*" * round(perplexity)
|
||||
print(f"PPL: Token after {shared.tokenizer.decode(last_token_id)}\t{perplexity:.2f}\t{pplbar}")
|
||||
|
||||
# Get top 5 probabilities
|
||||
top_tokens_and_probs = torch.topk(probs, 5)
|
||||
@ -63,153 +72,291 @@ class PerplexityLogits(LogitsProcessor):
|
||||
|
||||
self.top_token_ids_list.append(top_token_ids)
|
||||
self.top_probs_list.append(top_probs)
|
||||
|
||||
probs = probs.cpu().numpy().flatten()
|
||||
self.last_probs = probs # Need to keep this as a reference for top probs
|
||||
|
||||
probs = probs.cpu().numpy().flatten()
|
||||
self.last_probs = probs # Need to keep this as a reference for top probs
|
||||
|
||||
# t1 = time.time()
|
||||
# print(f"PPL Processor: {(t1-t0):.3f} s")
|
||||
# About 1 ms, though occasionally up to around 100 ms, not sure why...
|
||||
# Doesn't actually modify the logits!
|
||||
return scores
|
||||
|
||||
|
||||
# Stores the perplexity and top probabilities
|
||||
ppl_logits_processor = None
|
||||
|
||||
|
||||
def logits_processor_modifier(logits_processor_list, input_ids):
|
||||
global ppl_logits_processor
|
||||
ppl_logits_processor = PerplexityLogits()
|
||||
logits_processor_list.append(ppl_logits_processor)
|
||||
if params['active']:
|
||||
ppl_logits_processor = PerplexityLogits(verbose=params['verbose'])
|
||||
logits_processor_list.append(ppl_logits_processor)
|
||||
|
||||
|
||||
def output_modifier(text):
|
||||
global ppl_logits_processor
|
||||
# t0 = time.time()
|
||||
|
||||
if not params['active']:
|
||||
return text
|
||||
|
||||
# TODO: It's probably more efficient to do this above rather than modifying all these lists
|
||||
# Remove last element of perplexities_list, top_token_ids_list, top_tokens_list, top_probs_list since everything is off by one because this extension runs before generation
|
||||
perplexities = ppl_logits_processor.perplexities_list[:-1]
|
||||
top_token_ids_list = ppl_logits_processor.top_token_ids_list[:-1]
|
||||
top_tokens_list = [[shared.tokenizer.decode(token_id) for token_id in top_token_ids] for top_token_ids in top_token_ids_list]
|
||||
top_tokens_list = [[shared.tokenizer.decode(token_id) for token_id in top_token_ids[0]] for top_token_ids in top_token_ids_list]
|
||||
top_probs_list = ppl_logits_processor.top_probs_list[:-1]
|
||||
# Remove first element of generated_token_ids, generated_tokens, selected_probs because they are for the last token of the prompt
|
||||
gen_token_ids = ppl_logits_processor.generated_token_ids[1:]
|
||||
gen_tokens = [shared.tokenizer.decode(token_id) for token_id in gen_token_ids]
|
||||
sel_probs = ppl_logits_processor.selected_probs[1:]
|
||||
|
||||
end_part = '</span>' # Helps with finding the index after replacing part of the text.
|
||||
in_code = False # Since the <span> tags mess up code blocks, avoid coloring while inside a code block, based on finding tokens with '`' in them
|
||||
end_part = '</div></div>' if params['probability_dropdown'] else '</span>' # Helps with finding the index after replacing part of the text.
|
||||
in_code = False # Since the <span> tags mess up code blocks, avoid coloring while inside a code block, based on finding tokens with '`' in them
|
||||
|
||||
if params['color_by_probability'] and params['color_by_perplexity']:
|
||||
i = 0
|
||||
for token, prob, ppl, top_tokens, top_probs in zip(gen_tokens, sel_probs, perplexities, top_tokens_list, top_probs_list):
|
||||
if '`' in token:
|
||||
in_code = not in_code
|
||||
continue
|
||||
if in_code:
|
||||
continue
|
||||
i = 0
|
||||
for token, prob, ppl, top_tokens, top_probs in zip(gen_tokens, sel_probs, perplexities, top_tokens_list, top_probs_list):
|
||||
if '`' in token and not params['probability_dropdown']:
|
||||
in_code = not in_code
|
||||
continue
|
||||
if in_code:
|
||||
continue
|
||||
color = 'ffffff'
|
||||
if params['color_by_probability'] and params['color_by_perplexity']:
|
||||
color = probability_perplexity_color_scale(prob, ppl)
|
||||
if token in text[i:]:
|
||||
text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
|
||||
i += text[i:].find(end_part) + len(end_part)
|
||||
elif params['color_by_perplexity']:
|
||||
i = 0
|
||||
for token, ppl, top_tokens, top_probs in zip(gen_tokens, perplexities, top_tokens_list, top_probs_list):
|
||||
if '`' in token:
|
||||
in_code = not in_code
|
||||
continue
|
||||
if in_code:
|
||||
continue
|
||||
elif params['color_by_perplexity']:
|
||||
color = perplexity_color_scale(ppl)
|
||||
if token in text[i:]:
|
||||
text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
|
||||
i += text[i:].find(end_part) + len(end_part)
|
||||
elif params['color_by_probability']:
|
||||
i = 0
|
||||
for token, prob, top_tokens, top_probs in zip(gen_tokens, sel_probs, top_tokens_list, top_probs_list):
|
||||
if '`' in token:
|
||||
in_code = not in_code
|
||||
continue
|
||||
if in_code:
|
||||
continue
|
||||
elif params['color_by_probability']:
|
||||
color = probability_color_scale(prob)
|
||||
if token in text[i:]:
|
||||
if token in text[i:]:
|
||||
if params['probability_dropdown']:
|
||||
after_token_index = text[i:].find(token) + len(token)
|
||||
whitespace = text[i:][after_token_index:(after_token_index + 1)]
|
||||
if whitespace != ' ':
|
||||
whitespace = ''
|
||||
text = text[:i] + text[i:].replace(token, add_dropdown_html(token, color, top_tokens, top_probs[0], whitespace, ppl), 1)
|
||||
else:
|
||||
text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
|
||||
i += text[i:].find(end_part) + len(end_part)
|
||||
i += text[i:].find(end_part) + len(end_part)
|
||||
|
||||
print('Average perplexity:', round(np.mean(perplexities), 4))
|
||||
# Use full perplexity list for calculating the average here.
|
||||
print('Average perplexity:', round(np.mean(ppl_logits_processor.perplexities_list[:-1]), 4))
|
||||
# Optional hacky workaround: Without this, spaces get added between every token. With this, there is a little extra whitespace at the top.
|
||||
# This fixes the tokenization spaces, somehow. However, this also removes any paragraph breaks in the message.
|
||||
# return '<p>' + text + '</p>'
|
||||
# t1 = time.time()
|
||||
# print(f"Modifier: {(t1-t0):.3f} s")
|
||||
# About 50 ms
|
||||
return text
|
||||
|
||||
# Green-yellow-red color scale
|
||||
|
||||
def probability_color_scale(prob):
|
||||
'''
|
||||
Green-yellow-red color scale
|
||||
'''
|
||||
|
||||
rv = 0
|
||||
gv = 0
|
||||
if prob <= 0.5:
|
||||
rv = 'ff'
|
||||
gv = hex(int(255*prob*2))[2:]
|
||||
gv = hex(int(255 * prob * 2))[2:]
|
||||
if len(gv) < 2:
|
||||
gv = '0'*(2 - len(gv)) + gv
|
||||
gv = '0' * (2 - len(gv)) + gv
|
||||
else:
|
||||
rv = hex(int(255 - 255*(prob - 0.5)*2))[2:]
|
||||
rv = hex(int(255 - 255 * (prob - 0.5) * 2))[2:]
|
||||
gv = 'ff'
|
||||
if len(rv) < 2:
|
||||
rv = '0'*(2 - len(rv)) + rv
|
||||
rv = '0' * (2 - len(rv)) + rv
|
||||
|
||||
return rv + gv + '00'
|
||||
|
||||
# Red component only, white for 0 perplexity (sorry if you're not in dark mode)
|
||||
|
||||
def perplexity_color_scale(ppl):
|
||||
value = hex(max(int(255.0 - params['ppl_scale']*(float(ppl)-1.0)), 0))[2:]
|
||||
'''
|
||||
Red component only, white for 0 perplexity (sorry if you're not in dark mode)
|
||||
'''
|
||||
value = hex(max(int(255.0 - params['ppl_scale'] * (float(ppl) - 1.0)), 0))[2:]
|
||||
if len(value) < 2:
|
||||
value = '0'*(2 - len(value)) + value
|
||||
value = '0' * (2 - len(value)) + value
|
||||
|
||||
return 'ff' + value + value
|
||||
|
||||
# Green-yellow-red for probability and blue component for perplexity
|
||||
|
||||
def probability_perplexity_color_scale(prob, ppl):
|
||||
'''
|
||||
Green-yellow-red for probability and blue component for perplexity
|
||||
'''
|
||||
|
||||
rv = 0
|
||||
gv = 0
|
||||
bv = hex(min(max(int(params['ppl_scale']*(float(ppl)-1.0)), 0), 255))[2:]
|
||||
bv = hex(min(max(int(params['ppl_scale'] * (float(ppl) - 1.0)), 0), 255))[2:]
|
||||
if len(bv) < 2:
|
||||
bv = '0'*(2 - len(bv)) + bv
|
||||
bv = '0' * (2 - len(bv)) + bv
|
||||
|
||||
if prob <= 0.5:
|
||||
rv = 'ff'
|
||||
gv = hex(int(255*prob*2))[2:]
|
||||
gv = hex(int(255 * prob * 2))[2:]
|
||||
if len(gv) < 2:
|
||||
gv = '0'*(2 - len(gv)) + gv
|
||||
gv = '0' * (2 - len(gv)) + gv
|
||||
else:
|
||||
rv = hex(int(255 - 255*(prob - 0.5)*2))[2:]
|
||||
rv = hex(int(255 - 255 * (prob - 0.5) * 2))[2:]
|
||||
gv = 'ff'
|
||||
if len(rv) < 2:
|
||||
rv = '0'*(2 - len(rv)) + rv
|
||||
rv = '0' * (2 - len(rv)) + rv
|
||||
|
||||
return rv + gv + bv
|
||||
|
||||
|
||||
def add_color_html(token, color):
|
||||
return f'<span style="color: #{color}">{token}</span>'
|
||||
|
||||
"""
|
||||
# This is still very broken at the moment, needs CSS too but I'm not very good at CSS (and neither is GPT-4 apparently) so I still need to figure that out.
|
||||
def add_dropdown_html(token, color, top_tokens, top_probs):
|
||||
html = f'<span class="hoverable" style="color: #{color}">{token}<div class="dropdown"><table class="dropdown-content">'
|
||||
for token, prob in zip(top_tokens, top_probs):
|
||||
# TODO: Background color? Bold for selected token?
|
||||
# Bigger issue: Why is there a newline after the first token, and the dropdown fails there?
|
||||
# The HTML ends up like <p><span>word</span></p><div>...</div>,
|
||||
# even though for all other tokens it shows up correctly.
|
||||
|
||||
# TODO: Major issue: Applying this to too many tokens will cause a permanent slowdown in generation speed until the messages are removed from the history.
|
||||
# I think the issue is from HTML elements taking up space in the visible history, and things like history deepcopy add latency proportional to the size of the history.
|
||||
# Potential solution is maybe to modify the main generation code to send just the internal text and not the visible history, to avoid moving too much around.
|
||||
# I wonder if we can also avoid using deepcopy here.
|
||||
# The whitespace fix here is not perfect -- it will remove whitespace of paragraph breaks and other particular cases.
|
||||
def add_dropdown_html(token, color, top_tokens, top_probs, whitespace='', perplexity=0):
|
||||
if whitespace != '':
|
||||
whitespace = ' '
|
||||
html = f'<div class="hoverable"><span style="color: #{color}">{token}{whitespace}</span><div class="dropdown"><table class="dropdown-content"><tbody>'
|
||||
for token_option, prob in zip(top_tokens, top_probs):
|
||||
# TODO: Bold for selected token?
|
||||
# Using divs prevented the problem of divs inside spans causing issues.
|
||||
# Now the problem is that divs show the same whitespace of one space between every token.
|
||||
# There is probably some way to fix this in CSS that I don't know about.
|
||||
row_color = probability_color_scale(prob)
|
||||
html += f'<tr><td style="color: #{row_color}">{token}</td><td style="color: #{row_color}">{prob}</td></tr>'
|
||||
html += '</table></div></span>'
|
||||
return html
|
||||
"""
|
||||
row_class = ' class="selected"' if token_option == token else ''
|
||||
html += f'<tr{row_class}><td style="color: #{row_color}">{token_option}</td><td style="color: #{row_color}">{prob:.4f}</td></tr>'
|
||||
if perplexity != 0:
|
||||
ppl_color = perplexity_color_scale(perplexity)
|
||||
html += f'<tr><td>Perplexity:</td><td style="color: #{ppl_color}">{perplexity:.4f}</td></tr>'
|
||||
html += '</tbody></table></div></div>\n' # The newline would normally be added by markdown.markdown() but this is faster.
|
||||
return html # About 750 characters per token...
|
||||
|
||||
|
||||
def custom_css():
|
||||
return """
|
||||
.dropdown {
|
||||
display: none;
|
||||
position: absolute;
|
||||
z-index: 50;
|
||||
background-color: var(--block-background-fill);
|
||||
box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
|
||||
width: max-content;
|
||||
overflow: visible;
|
||||
padding: 5px;
|
||||
border-radius: 10px;
|
||||
border: 1px solid var(--border-color-primary);
|
||||
}
|
||||
|
||||
.dropdown-content {
|
||||
border: none;
|
||||
z-index: 50;
|
||||
}
|
||||
|
||||
.dropdown-content tr.selected {
|
||||
background-color: var(--block-label-background-fill);
|
||||
}
|
||||
|
||||
.dropdown-content td {
|
||||
color: var(--body-text-color);
|
||||
}
|
||||
|
||||
.hoverable {
|
||||
color: var(--body-text-color);
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
overflow: visible;
|
||||
font-size: 15px;
|
||||
line-height: 1.75;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
margin-right: -4px;
|
||||
}
|
||||
|
||||
.hoverable:hover .dropdown {
|
||||
display: block;
|
||||
}
|
||||
|
||||
# TODO: This makes the hover menus extend outside the bounds of the chat area, which is good.
|
||||
# However, it also makes the scrollbar disappear, which is bad.
|
||||
# The scroll bar needs to still be present. So for now, we can't see dropdowns that extend past the edge of the chat area.
|
||||
#.chat {
|
||||
# overflow-y: auto;
|
||||
#}
|
||||
"""
|
||||
|
||||
# Monkeypatch applied to html_generator.py
|
||||
# This fixes an issue where the markdown conversion was causing a large slowdown in generation speeds if too many tokens had probability dropdowns added.
|
||||
# I'd rather have a more long-term solution, since this really shouldn't be called on all messages for each token, but this works for now.
|
||||
def convert_to_markdown(string):
|
||||
# t0 = time.time()
|
||||
# Blockquote
|
||||
pattern = re.compile(r'\\begin{blockquote}(.*?)\\end{blockquote}', re.DOTALL)
|
||||
string = pattern.sub(replace_blockquote, string)
|
||||
|
||||
# Code
|
||||
string = string.replace('\\begin{code}', '```')
|
||||
string = string.replace('\\end{code}', '```')
|
||||
string = re.sub(r"(.)```", r"\1\n```", string)
|
||||
|
||||
result = ''
|
||||
is_code = False
|
||||
for line in string.split('\n'):
|
||||
if line.lstrip(' ').startswith('```'):
|
||||
is_code = not is_code
|
||||
|
||||
result += line
|
||||
if is_code or line.startswith('|'): # Don't add an extra \n for tables or code
|
||||
result += '\n'
|
||||
else:
|
||||
result += '\n\n'
|
||||
|
||||
if is_code:
|
||||
result = result + '```' # Unfinished code block
|
||||
|
||||
string = result.strip()
|
||||
# t1 = time.time()
|
||||
# print(len(string))
|
||||
# print(f"Pre markdown: {(t1-t0):.3f} s")
|
||||
if params['probability_dropdown'] and '<div class="hoverable">' in string:
|
||||
# Prevents all latency introduced by trying to convert the HTML to markdown when it's not even necessary
|
||||
# print('Monkeypatched')
|
||||
return string
|
||||
else:
|
||||
# t0 = time.time()
|
||||
return markdown.markdown(string, extensions=['fenced_code', 'tables'])
|
||||
# t1 = time.time()
|
||||
# print(f"Markdown: {(t1-t0):.3f} s for string of length {len(string)}")
|
||||
# print(string)
|
||||
# print(res)
|
||||
# return res
|
||||
|
||||
|
||||
html_generator.convert_to_markdown = convert_to_markdown
|
||||
|
||||
|
||||
def ui():
|
||||
color_by_ppl_check = gradio.Checkbox(value=False, label="Color by perplexity", info="Higher perplexity is more red. If also showing probability, higher perplexity has more blue component.")
|
||||
def update_active_check(x):
|
||||
params.update({'active': x})
|
||||
|
||||
def update_color_by_ppl_check(x):
|
||||
params.update({'color_by_perplexity': x})
|
||||
color_by_ppl_check.change(update_color_by_ppl_check, color_by_ppl_check, None)
|
||||
|
||||
color_by_prob_check = gradio.Checkbox(value=False, label="Color by probability", info="Green-yellow-red linear scale, with 100% green, 50% yellow, 0% red.")
|
||||
def update_color_by_prob_check(x):
|
||||
params.update({'color_by_probability': x})
|
||||
color_by_prob_check.change(update_color_by_prob_check, color_by_prob_check, None)
|
||||
|
||||
# Doesn't work yet...
|
||||
"""
|
||||
prob_dropdown_check = gradio.Checkbox(value=False, label="Probability dropdown")
|
||||
def update_prob_dropdown_check(x):
|
||||
params.update({'probability_dropdown': x})
|
||||
|
||||
active_check = gradio.Checkbox(value=True, label="Compute probabilities and perplexity scores", info="Activate this extension. Note that this extension currently does not work with exllama or llama.cpp.")
|
||||
color_by_ppl_check = gradio.Checkbox(value=False, label="Color by perplexity", info="Higher perplexity is more red. If also showing probability, higher perplexity has more blue component.")
|
||||
color_by_prob_check = gradio.Checkbox(value=False, label="Color by probability", info="Green-yellow-red linear scale, with 100% green, 50% yellow, 0% red.")
|
||||
prob_dropdown_check = gradio.Checkbox(value=False, label="Probability dropdown", info="Hover over a token to show a dropdown of top token probabilities. Currently slightly buggy with whitespace between tokens.")
|
||||
|
||||
active_check.change(update_active_check, active_check, None)
|
||||
color_by_ppl_check.change(update_color_by_ppl_check, color_by_ppl_check, None)
|
||||
color_by_prob_check.change(update_color_by_prob_check, color_by_prob_check, None)
|
||||
prob_dropdown_check.change(update_prob_dropdown_check, prob_dropdown_check, None)
|
||||
"""
|
||||
|
||||
Loading…
Reference in New Issue
Block a user