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Add probability dropdown to perplexity_colors extension (#3148)
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SeanScripts
GitHub
parent
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commit
2c1fd0d72b
@ -1,17 +1,25 @@
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import re
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import time
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import gradio
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import markdown
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import numpy as np
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import torch
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from transformers import LogitsProcessor
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import numpy as np
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from modules import shared
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from modules import html_generator, shared
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from modules.html_generator import replace_blockquote
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params = {
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'active': True,
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'color_by_perplexity': False,
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'color_by_probability': False,
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'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.
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#'probability_dropdown': False
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'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.
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'probability_dropdown': False,
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'verbose': False # For debugging mostly
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}
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class PerplexityLogits(LogitsProcessor):
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def __init__(self, verbose=False):
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self.generated_token_ids = []
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@ -23,9 +31,10 @@ class PerplexityLogits(LogitsProcessor):
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self.verbose = verbose
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def __call__(self, input_ids, scores):
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# t0 = time.time()
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probs = torch.softmax(scores, dim=-1, dtype=torch.float)
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log_probs = torch.nan_to_num(torch.log(probs))
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entropy = -torch.sum(probs*log_probs)
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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.
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entropy = -torch.sum(probs * log_probs)
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entropy = entropy.cpu().numpy()
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perplexity = round(float(np.exp(entropy)), 4)
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self.perplexities_list.append(perplexity)
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@ -36,25 +45,25 @@ class PerplexityLogits(LogitsProcessor):
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if len(self.selected_probs) > 0:
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# Is the selected token in the top tokens?
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if self.verbose:
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print(shared.tokenizer.decode(last_token_id))
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print([shared.tokenizer.decode(token_id) for token_id in self.top_token_ids_list[-1]])
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print(self.top_probs_list[-1])
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if last_token_id in self.top_token_ids_list[-1]:
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idx = self.top_token_ids_list[-1].index(last_token_id)
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self.selected_probs.append(self.top_probs_list[-1][idx])
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print('Probs: Token after', shared.tokenizer.decode(last_token_id))
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print('Probs:', [shared.tokenizer.decode(token_id) for token_id in self.top_token_ids_list[-1][0]])
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print('Probs:', [round(float(prob), 4) for prob in self.top_probs_list[-1][0]])
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if last_token_id in self.top_token_ids_list[-1][0]:
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idx = self.top_token_ids_list[-1][0].index(last_token_id)
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self.selected_probs.append(self.top_probs_list[-1][0][idx])
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else:
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self.top_token_ids_list[-1].append(last_token_id)
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self.top_token_ids_list[-1][0].append(last_token_id)
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last_prob = round(float(self.last_probs[last_token_id]), 4)
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self.top_probs_list[-1].append(last_prob)
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self.top_probs_list[-1][0].append(last_prob)
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self.selected_probs.append(last_prob)
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else:
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self.selected_probs.append(1.0) # Placeholder for the last token of the prompt
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self.selected_probs.append(1.0) # Placeholder for the last token of the prompt
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if self.verbose:
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pplbar = "-"
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if not np.isnan(perplexity):
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pplbar = "*"*round(perplexity)
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print(f"{last_token}\t{perplexity:.2f}\t{pplbar}")
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pplbar = "*" * round(perplexity)
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print(f"PPL: Token after {shared.tokenizer.decode(last_token_id)}\t{perplexity:.2f}\t{pplbar}")
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# Get top 5 probabilities
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top_tokens_and_probs = torch.topk(probs, 5)
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@ -63,153 +72,291 @@ class PerplexityLogits(LogitsProcessor):
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self.top_token_ids_list.append(top_token_ids)
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self.top_probs_list.append(top_probs)
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probs = probs.cpu().numpy().flatten()
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self.last_probs = probs # Need to keep this as a reference for top probs
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probs = probs.cpu().numpy().flatten()
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self.last_probs = probs # Need to keep this as a reference for top probs
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# t1 = time.time()
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# print(f"PPL Processor: {(t1-t0):.3f} s")
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# About 1 ms, though occasionally up to around 100 ms, not sure why...
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# Doesn't actually modify the logits!
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return scores
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# Stores the perplexity and top probabilities
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ppl_logits_processor = None
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def logits_processor_modifier(logits_processor_list, input_ids):
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global ppl_logits_processor
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ppl_logits_processor = PerplexityLogits()
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logits_processor_list.append(ppl_logits_processor)
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if params['active']:
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ppl_logits_processor = PerplexityLogits(verbose=params['verbose'])
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logits_processor_list.append(ppl_logits_processor)
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def output_modifier(text):
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global ppl_logits_processor
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# t0 = time.time()
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if not params['active']:
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return text
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# TODO: It's probably more efficient to do this above rather than modifying all these lists
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# 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
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perplexities = ppl_logits_processor.perplexities_list[:-1]
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top_token_ids_list = ppl_logits_processor.top_token_ids_list[:-1]
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top_tokens_list = [[shared.tokenizer.decode(token_id) for token_id in top_token_ids] for top_token_ids in top_token_ids_list]
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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]
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top_probs_list = ppl_logits_processor.top_probs_list[:-1]
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# Remove first element of generated_token_ids, generated_tokens, selected_probs because they are for the last token of the prompt
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gen_token_ids = ppl_logits_processor.generated_token_ids[1:]
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gen_tokens = [shared.tokenizer.decode(token_id) for token_id in gen_token_ids]
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sel_probs = ppl_logits_processor.selected_probs[1:]
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end_part = '</span>' # Helps with finding the index after replacing part of the text.
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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
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end_part = '</div></div>' if params['probability_dropdown'] else '</span>' # Helps with finding the index after replacing part of the text.
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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
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if params['color_by_probability'] and params['color_by_perplexity']:
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i = 0
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for token, prob, ppl, top_tokens, top_probs in zip(gen_tokens, sel_probs, perplexities, top_tokens_list, top_probs_list):
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if '`' in token:
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in_code = not in_code
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continue
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if in_code:
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continue
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i = 0
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for token, prob, ppl, top_tokens, top_probs in zip(gen_tokens, sel_probs, perplexities, top_tokens_list, top_probs_list):
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if '`' in token and not params['probability_dropdown']:
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in_code = not in_code
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continue
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if in_code:
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continue
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color = 'ffffff'
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if params['color_by_probability'] and params['color_by_perplexity']:
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color = probability_perplexity_color_scale(prob, ppl)
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if token in text[i:]:
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text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
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i += text[i:].find(end_part) + len(end_part)
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elif params['color_by_perplexity']:
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i = 0
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for token, ppl, top_tokens, top_probs in zip(gen_tokens, perplexities, top_tokens_list, top_probs_list):
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if '`' in token:
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in_code = not in_code
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continue
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if in_code:
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continue
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elif params['color_by_perplexity']:
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color = perplexity_color_scale(ppl)
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if token in text[i:]:
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text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
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i += text[i:].find(end_part) + len(end_part)
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elif params['color_by_probability']:
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i = 0
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for token, prob, top_tokens, top_probs in zip(gen_tokens, sel_probs, top_tokens_list, top_probs_list):
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if '`' in token:
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in_code = not in_code
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continue
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if in_code:
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continue
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elif params['color_by_probability']:
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color = probability_color_scale(prob)
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if token in text[i:]:
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if token in text[i:]:
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if params['probability_dropdown']:
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after_token_index = text[i:].find(token) + len(token)
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whitespace = text[i:][after_token_index:(after_token_index + 1)]
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if whitespace != ' ':
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whitespace = ''
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text = text[:i] + text[i:].replace(token, add_dropdown_html(token, color, top_tokens, top_probs[0], whitespace, ppl), 1)
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else:
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text = text[:i] + text[i:].replace(token, add_color_html(token, color), 1)
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i += text[i:].find(end_part) + len(end_part)
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i += text[i:].find(end_part) + len(end_part)
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print('Average perplexity:', round(np.mean(perplexities), 4))
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# Use full perplexity list for calculating the average here.
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print('Average perplexity:', round(np.mean(ppl_logits_processor.perplexities_list[:-1]), 4))
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# Optional hacky workaround: Without this, spaces get added between every token. With this, there is a little extra whitespace at the top.
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# This fixes the tokenization spaces, somehow. However, this also removes any paragraph breaks in the message.
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# return '<p>' + text + '</p>'
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# t1 = time.time()
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# print(f"Modifier: {(t1-t0):.3f} s")
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# About 50 ms
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return text
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# Green-yellow-red color scale
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def probability_color_scale(prob):
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'''
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Green-yellow-red color scale
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'''
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rv = 0
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gv = 0
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if prob <= 0.5:
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rv = 'ff'
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gv = hex(int(255*prob*2))[2:]
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gv = hex(int(255 * prob * 2))[2:]
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if len(gv) < 2:
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gv = '0'*(2 - len(gv)) + gv
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gv = '0' * (2 - len(gv)) + gv
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else:
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rv = hex(int(255 - 255*(prob - 0.5)*2))[2:]
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rv = hex(int(255 - 255 * (prob - 0.5) * 2))[2:]
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gv = 'ff'
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if len(rv) < 2:
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rv = '0'*(2 - len(rv)) + rv
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rv = '0' * (2 - len(rv)) + rv
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return rv + gv + '00'
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# Red component only, white for 0 perplexity (sorry if you're not in dark mode)
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def perplexity_color_scale(ppl):
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value = hex(max(int(255.0 - params['ppl_scale']*(float(ppl)-1.0)), 0))[2:]
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'''
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Red component only, white for 0 perplexity (sorry if you're not in dark mode)
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'''
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value = hex(max(int(255.0 - params['ppl_scale'] * (float(ppl) - 1.0)), 0))[2:]
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if len(value) < 2:
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value = '0'*(2 - len(value)) + value
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value = '0' * (2 - len(value)) + value
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return 'ff' + value + value
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# Green-yellow-red for probability and blue component for perplexity
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def probability_perplexity_color_scale(prob, ppl):
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'''
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Green-yellow-red for probability and blue component for perplexity
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'''
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rv = 0
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gv = 0
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bv = hex(min(max(int(params['ppl_scale']*(float(ppl)-1.0)), 0), 255))[2:]
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bv = hex(min(max(int(params['ppl_scale'] * (float(ppl) - 1.0)), 0), 255))[2:]
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if len(bv) < 2:
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bv = '0'*(2 - len(bv)) + bv
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bv = '0' * (2 - len(bv)) + bv
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if prob <= 0.5:
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rv = 'ff'
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gv = hex(int(255*prob*2))[2:]
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gv = hex(int(255 * prob * 2))[2:]
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if len(gv) < 2:
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gv = '0'*(2 - len(gv)) + gv
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gv = '0' * (2 - len(gv)) + gv
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else:
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rv = hex(int(255 - 255*(prob - 0.5)*2))[2:]
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rv = hex(int(255 - 255 * (prob - 0.5) * 2))[2:]
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gv = 'ff'
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if len(rv) < 2:
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rv = '0'*(2 - len(rv)) + rv
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rv = '0' * (2 - len(rv)) + rv
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return rv + gv + bv
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def add_color_html(token, color):
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return f'<span style="color: #{color}">{token}</span>'
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"""
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# 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.
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def add_dropdown_html(token, color, top_tokens, top_probs):
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html = f'<span class="hoverable" style="color: #{color}">{token}<div class="dropdown"><table class="dropdown-content">'
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for token, prob in zip(top_tokens, top_probs):
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# TODO: Background color? Bold for selected token?
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# Bigger issue: Why is there a newline after the first token, and the dropdown fails there?
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# The HTML ends up like <p><span>word</span></p><div>...</div>,
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# even though for all other tokens it shows up correctly.
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# 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.
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# 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.
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# 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.
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# I wonder if we can also avoid using deepcopy here.
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# The whitespace fix here is not perfect -- it will remove whitespace of paragraph breaks and other particular cases.
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def add_dropdown_html(token, color, top_tokens, top_probs, whitespace='', perplexity=0):
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if whitespace != '':
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whitespace = ' '
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html = f'<div class="hoverable"><span style="color: #{color}">{token}{whitespace}</span><div class="dropdown"><table class="dropdown-content"><tbody>'
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for token_option, prob in zip(top_tokens, top_probs):
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# TODO: Bold for selected token?
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# Using divs prevented the problem of divs inside spans causing issues.
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# Now the problem is that divs show the same whitespace of one space between every token.
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# There is probably some way to fix this in CSS that I don't know about.
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row_color = probability_color_scale(prob)
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html += f'<tr><td style="color: #{row_color}">{token}</td><td style="color: #{row_color}">{prob}</td></tr>'
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html += '</table></div></span>'
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return html
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"""
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row_class = ' class="selected"' if token_option == token else ''
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html += f'<tr{row_class}><td style="color: #{row_color}">{token_option}</td><td style="color: #{row_color}">{prob:.4f}</td></tr>'
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if perplexity != 0:
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ppl_color = perplexity_color_scale(perplexity)
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html += f'<tr><td>Perplexity:</td><td style="color: #{ppl_color}">{perplexity:.4f}</td></tr>'
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html += '</tbody></table></div></div>\n' # The newline would normally be added by markdown.markdown() but this is faster.
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return html # About 750 characters per token...
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def custom_css():
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return """
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.dropdown {
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display: none;
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position: absolute;
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z-index: 50;
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background-color: var(--block-background-fill);
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box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);
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width: max-content;
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overflow: visible;
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padding: 5px;
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border-radius: 10px;
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border: 1px solid var(--border-color-primary);
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}
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.dropdown-content {
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border: none;
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z-index: 50;
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}
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.dropdown-content tr.selected {
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background-color: var(--block-label-background-fill);
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}
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.dropdown-content td {
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color: var(--body-text-color);
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}
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.hoverable {
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color: var(--body-text-color);
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position: relative;
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display: inline-block;
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overflow: visible;
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font-size: 15px;
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line-height: 1.75;
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margin: 0;
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padding: 0;
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margin-right: -4px;
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}
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.hoverable:hover .dropdown {
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display: block;
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}
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# TODO: This makes the hover menus extend outside the bounds of the chat area, which is good.
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# However, it also makes the scrollbar disappear, which is bad.
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# 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.
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#.chat {
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# overflow-y: auto;
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#}
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"""
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# Monkeypatch applied to html_generator.py
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# This fixes an issue where the markdown conversion was causing a large slowdown in generation speeds if too many tokens had probability dropdowns added.
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# 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.
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def convert_to_markdown(string):
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# t0 = time.time()
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# Blockquote
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pattern = re.compile(r'\\begin{blockquote}(.*?)\\end{blockquote}', re.DOTALL)
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string = pattern.sub(replace_blockquote, string)
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# Code
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string = string.replace('\\begin{code}', '```')
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string = string.replace('\\end{code}', '```')
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string = re.sub(r"(.)```", r"\1\n```", string)
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result = ''
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is_code = False
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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