mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-01 07:00:15 +01:00
280 lines
9.9 KiB
Python
280 lines
9.9 KiB
Python
import os
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from modules import shared, utils
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from pathlib import Path
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import json
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def list_subfoldersByTime(directory):
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if not directory.endswith('/'):
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directory += '/'
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subfolders = []
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path = directory
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name_list = os.listdir(path)
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full_list = [os.path.join(path,i) for i in name_list]
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time_sorted_list = sorted(full_list, key=os.path.getmtime,reverse=True)
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for entry in time_sorted_list:
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if os.path.isdir(entry):
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entry_str = f"{entry}" # Convert entry to a string
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full_path = entry_str
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entry_str = entry_str.replace('\\','/')
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entry_str = entry_str.replace(f"{directory}", "") # Remove directory part
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subfolders.append(entry_str)
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return subfolders
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def get_available_loras_local(_sortedByTime):
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model_dir = shared.args.lora_dir # Update with the appropriate directory path
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subfolders = []
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if _sortedByTime:
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subfolders = list_subfoldersByTime(model_dir)
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else:
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subfolders = utils.get_available_loras()
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return subfolders
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# FPHAM SPLIT BY SENTENCE BLOCK ===============
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def split_sentences(text: str, cutoff_len: int):
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sentences = []
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sentence = ''
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delimiters = ['. ', '? ', '! ', '... ', '.\n', '?\n', '!\n','...\n','</s>','<//>']
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abbreviations = ['Mr. ', 'Mrs. ', 'Dr. ', 'Ms. ', 'St. ', 'Prof. ', 'Jr. ', 'Ltd. ', 'Capt. ', 'Col. ', 'Gen. ', 'Ave. ', 'Blvd. ', 'Co. ', 'Corp. ', 'Dept. ', 'Est. ', 'Gov. ', 'Inc. ', 'Ph.D. ', 'Univ. ']
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errors = 0
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max_cut = cutoff_len-1
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prev_char = ''
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for char in text:
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sentence += char
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if (any(sentence.endswith(delimiter) for delimiter in delimiters) and
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not (prev_char.isupper() and len(sentence) >= 3 and sentence[-3] != ' ') and
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not any(sentence.endswith(abbreviation) for abbreviation in abbreviations)):
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tokens = shared.tokenizer.encode(sentence)
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if len(tokens) > max_cut:
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tokens = tokens[:max_cut]
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sentence = shared.tokenizer.decode(tokens, skip_special_tokens=True)
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errors = errors + 1
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sentences.append({'text': sentence, 'size': len(tokens)})
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sentence = ''
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prev_char = char
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if sentence:
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tokens = shared.tokenizer.encode(sentence)
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if len(tokens) > max_cut:
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tokens = tokens[:max_cut]
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sentence = shared.tokenizer.decode(tokens, skip_special_tokens=True)
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errors = errors + 1
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sentences.append({'text': sentence, 'size': len(tokens)})
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if errors > 0:
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print(f"Trimmed sentences beyond Cutoff Length: {errors}")
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return sentences
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# The goal of following code is to create blocks of text + overlapping blocks while:
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# respects sentence boundaries
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# always uses all the text
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# hard cut defined by hard_cut_string or </s> will always end at the end of data block
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# no overlapping blocks will be created across hard cut or across </s> token
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def precise_cut(text: str, overlap: bool, min_chars_cut: int, eos_to_hc: bool, cutoff_len: int, hard_cut_string: str, debug_slicer:bool):
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EOSX_str = '<//>' #hardcut placeholder
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EOS_str = '</s>'
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print("Precise raw text slicer: ON")
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cut_string = hard_cut_string.replace('\\n', '\n')
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text = text.replace(cut_string, EOSX_str)
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sentences = split_sentences(text, cutoff_len)
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print(f"Sentences: {len(sentences)}")
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sentencelist = []
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currentSentence = ''
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totalLength = 0
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max_cut = cutoff_len-1
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half_cut = cutoff_len//2
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halfcut_length = 0
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edgeindex = []
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half_index = 0
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for index, item in enumerate(sentences):
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if halfcut_length+ item['size'] < half_cut:
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halfcut_length += item['size']
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half_index = index
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else:
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edgeindex.append(half_index)
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halfcut_length = -2 * max_cut
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if totalLength + item['size'] < max_cut and not currentSentence.endswith(EOSX_str):
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currentSentence += item['text']
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totalLength += item['size']
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else:
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if len(currentSentence.strip()) > min_chars_cut:
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sentencelist.append(currentSentence.strip())
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currentSentence = item['text']
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totalLength = item['size']
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halfcut_length = item['size']
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if len(currentSentence.strip()) > min_chars_cut:
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sentencelist.append(currentSentence.strip())
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unique_blocks = len(sentencelist)
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print(f"Text Blocks: {unique_blocks}")
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#overlap strategies:
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# don't overlap across HARD CUT (EOSX)
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if overlap:
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for edge_idx in edgeindex:
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currentSentence = ''
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totalLength = 0
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for item in sentences[edge_idx:]:
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if totalLength + item['size'] < max_cut:
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currentSentence += item['text']
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totalLength += item['size']
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else:
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#if by chance EOSX is at the end then it's acceptable
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if currentSentence.endswith(EOSX_str) and len(currentSentence.strip()) > min_chars_cut:
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sentencelist.append(currentSentence.strip())
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# otherwise don't cross hard cut
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elif EOSX_str not in currentSentence and len(currentSentence.strip()) > min_chars_cut:
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sentencelist.append(currentSentence.strip())
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currentSentence = ''
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totalLength = 0
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break
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print(f"+ Overlapping blocks: {len(sentencelist)-unique_blocks}")
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num_EOS = 0
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for i in range(len(sentencelist)):
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if eos_to_hc:
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sentencelist[i] = sentencelist[i].replace(EOSX_str, EOS_str)
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else:
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sentencelist[i] = sentencelist[i].replace(EOSX_str, '')
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#someone may have had stop strings in the raw text...
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sentencelist[i] = sentencelist[i].replace("</s></s>", EOS_str)
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num_EOS += sentencelist[i].count(EOS_str)
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if num_EOS > 0:
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print(f"+ EOS count: {num_EOS}")
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#final check for useless lines
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sentencelist = [item for item in sentencelist if item.strip() != "</s>"]
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sentencelist = [item for item in sentencelist if item.strip() != ""]
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if debug_slicer:
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# Write the log file
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Path('logs').mkdir(exist_ok=True)
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sentencelist_dict = {index: sentence for index, sentence in enumerate(sentencelist)}
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output_file = "logs/sentencelist.json"
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with open(output_file, 'w') as f:
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json.dump(sentencelist_dict, f,indent=2)
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print("Saved sentencelist.json in logs folder")
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return sentencelist
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def sliding_block_cut(text: str, min_chars_cut: int, eos_to_hc: bool, cutoff_len: int, hard_cut_string: str, debug_slicer:bool):
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EOSX_str = '<//>' #hardcut placeholder
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EOS_str = '</s>'
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print("Mega Block Overlap: ON")
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cut_string = hard_cut_string.replace('\\n', '\n')
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text = text.replace(cut_string, EOSX_str)
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sentences = split_sentences(text, cutoff_len)
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print(f"Sentences: {len(sentences)}")
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sentencelist = []
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max_cut = cutoff_len-1
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#print(f"max_cut: {max_cut}")
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advancing_to = 0
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prev_block_lastsentence = ""
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for i in range(len(sentences)):
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totalLength = 0
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currentSentence = ''
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lastsentence = ""
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if i >= advancing_to:
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for k in range(i, len(sentences)):
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current_length = sentences[k]['size']
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if totalLength + current_length <= max_cut and not currentSentence.endswith(EOSX_str):
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currentSentence += sentences[k]['text']
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totalLength += current_length
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lastsentence = sentences[k]['text']
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else:
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if len(currentSentence.strip()) > min_chars_cut:
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if prev_block_lastsentence!=lastsentence:
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sentencelist.append(currentSentence.strip())
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prev_block_lastsentence = lastsentence
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advancing_to = 0
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if currentSentence.endswith(EOSX_str):
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advancing_to = k
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currentSentence = ""
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totalLength = 0
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break
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if currentSentence != "":
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if len(currentSentence.strip()) > min_chars_cut:
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sentencelist.append(currentSentence.strip())
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unique_blocks = len(sentencelist)
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print(f"Text Blocks: {unique_blocks}")
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num_EOS = 0
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for i in range(len(sentencelist)):
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if eos_to_hc:
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sentencelist[i] = sentencelist[i].replace(EOSX_str, EOS_str)
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else:
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sentencelist[i] = sentencelist[i].replace(EOSX_str, '')
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#someone may have had stop strings in the raw text...
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sentencelist[i] = sentencelist[i].replace("</s></s>", EOS_str)
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num_EOS += sentencelist[i].count(EOS_str)
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if num_EOS > 0:
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print(f"+ EOS count: {num_EOS}")
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#final check for useless lines
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sentencelist = [item for item in sentencelist if item.strip() != "</s>"]
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sentencelist = [item for item in sentencelist if item.strip() != ""]
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if debug_slicer:
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# Write the log file
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Path('logs').mkdir(exist_ok=True)
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sentencelist_dict = {index: sentence for index, sentence in enumerate(sentencelist)}
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output_file = "logs/sentencelist.json"
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with open(output_file, 'w') as f:
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json.dump(sentencelist_dict, f,indent=2)
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print("Saved sentencelist.json in logs folder")
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return sentencelist
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