mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 16:17:57 +01:00
393 lines
18 KiB
Python
393 lines
18 KiB
Python
import base64
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import copy
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import io
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import json
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import re
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from datetime import datetime
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from pathlib import Path
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from PIL import Image
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import modules.extensions as extensions_module
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import modules.shared as shared
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from modules.extensions import apply_extensions
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from modules.html_generator import fix_newlines, generate_chat_html
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from modules.text_generation import (encode, generate_reply,
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get_max_prompt_length)
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def generate_chat_output(history, name1, name2, character):
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if shared.args.cai_chat:
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return generate_chat_html(history, name1, name2, character)
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else:
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return history
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def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=False):
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user_input = fix_newlines(user_input)
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rows = [f"{context.strip()}\n"]
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if shared.soft_prompt:
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chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
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max_length = min(get_max_prompt_length(max_new_tokens), chat_prompt_size)
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i = len(shared.history['internal'])-1
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while i >= 0 and len(encode(''.join(rows), max_new_tokens)[0]) < max_length:
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rows.insert(1, f"{name2}: {shared.history['internal'][i][1].strip()}\n")
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if not (shared.history['internal'][i][0] == '<|BEGIN-VISIBLE-CHAT|>'):
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rows.insert(1, f"{name1}: {shared.history['internal'][i][0].strip()}\n")
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i -= 1
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if not impersonate:
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rows.append(f"{name1}: {user_input}\n")
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rows.append(apply_extensions(f"{name2}:", "bot_prefix"))
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limit = 3
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else:
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rows.append(f"{name1}:")
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limit = 2
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while len(rows) > limit and len(encode(''.join(rows), max_new_tokens)[0]) >= max_length:
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rows.pop(1)
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prompt = ''.join(rows)
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return prompt
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def extract_message_from_reply(question, reply, name1, name2, check, impersonate=False):
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next_character_found = False
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asker = name1 if not impersonate else name2
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replier = name2 if not impersonate else name1
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previous_idx = [m.start() for m in re.finditer(f"(^|\n){re.escape(replier)}:", question)]
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idx = [m.start() for m in re.finditer(f"(^|\n){re.escape(replier)}:", reply)]
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idx = idx[max(len(previous_idx)-1, 0)]
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if not impersonate:
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reply = reply[idx + 1 + len(apply_extensions(f"{replier}:", "bot_prefix")):]
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else:
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reply = reply[idx + 1 + len(f"{replier}:"):]
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if check:
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lines = reply.split('\n')
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reply = lines[0].strip()
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if len(lines) > 1:
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next_character_found = True
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else:
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idx = reply.find(f"\n{asker}:")
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if idx != -1:
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reply = reply[:idx]
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next_character_found = True
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reply = fix_newlines(reply)
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# If something like "\nYo" is generated just before "\nYou:"
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# is completed, trim it
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next_turn = f"\n{asker}:"
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for j in range(len(next_turn)-1, 0, -1):
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if reply[-j:] == next_turn[:j]:
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reply = reply[:-j]
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break
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return reply, next_character_found
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def stop_everything_event():
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shared.stop_everything = True
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def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1, regenerate=False):
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shared.stop_everything = False
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just_started = True
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eos_token = '\n' if check else None
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name1_original = name1
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if 'pygmalion' in shared.model_name.lower():
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name1 = "You"
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# Check if any extension wants to hijack this function call
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visible_text = None
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custom_generate_chat_prompt = None
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for extension, _ in extensions_module.iterator():
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if hasattr(extension, 'input_hijack') and extension.input_hijack['state'] == True:
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extension.input_hijack['state'] = False
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text, visible_text = extension.input_hijack['value']
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if custom_generate_chat_prompt is None and hasattr(extension, 'custom_generate_chat_prompt'):
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custom_generate_chat_prompt = extension.custom_generate_chat_prompt
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if visible_text is None:
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visible_text = text
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if shared.args.chat:
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visible_text = visible_text.replace('\n', '<br>')
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text = apply_extensions(text, "input")
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if custom_generate_chat_prompt is None:
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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else:
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prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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# Yield *Is typing...*
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if not regenerate:
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yield shared.history['visible']+[[visible_text, shared.processing_message]]
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# Generate
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reply = ''
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for i in range(chat_generation_attempts):
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for reply in generate_reply(f"{prompt}{' ' if len(reply) > 0 else ''}{reply}", max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, eos_token=eos_token, stopping_string=f"\n{name1}:"):
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# Extracting the reply
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reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check)
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visible_reply = re.sub("(<USER>|<user>|{{user}})", name1_original, reply)
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visible_reply = apply_extensions(visible_reply, "output")
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if shared.args.chat:
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visible_reply = visible_reply.replace('\n', '<br>')
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# We need this global variable to handle the Stop event,
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# otherwise gradio gets confused
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if shared.stop_everything:
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return shared.history['visible']
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if just_started:
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just_started = False
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shared.history['internal'].append(['', ''])
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shared.history['visible'].append(['', ''])
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shared.history['internal'][-1] = [text, reply]
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shared.history['visible'][-1] = [visible_text, visible_reply]
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if not shared.args.no_stream:
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yield shared.history['visible']
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if next_character_found:
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break
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yield shared.history['visible']
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def impersonate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
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eos_token = '\n' if check else None
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if 'pygmalion' in shared.model_name.lower():
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name1 = "You"
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True)
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reply = ''
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# Yield *Is typing...*
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yield shared.processing_message
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for i in range(chat_generation_attempts):
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for reply in generate_reply(prompt+reply, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, eos_token=eos_token, stopping_string=f"\n{name2}:"):
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reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check, impersonate=True)
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yield reply
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if next_character_found:
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break
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yield reply
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def cai_chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
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for _history in chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts):
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yield generate_chat_html(_history, name1, name2, shared.character)
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def regenerate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
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if (shared.character != 'None' and len(shared.history['visible']) == 1) or len(shared.history['internal']) == 0:
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yield generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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else:
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last_visible = shared.history['visible'].pop()
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last_internal = shared.history['internal'].pop()
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# Yield '*Is typing...*'
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yield generate_chat_output(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, shared.character)
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for _history in chatbot_wrapper(last_internal[0], max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, encoder_repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, seed, name1, name2, context, check, chat_prompt_size, chat_generation_attempts, regenerate=True):
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if shared.args.cai_chat:
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shared.history['visible'][-1] = [last_visible[0], _history[-1][1]]
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else:
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shared.history['visible'][-1] = (last_visible[0], _history[-1][1])
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yield generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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def remove_last_message(name1, name2):
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if len(shared.history['visible']) > 0 and not shared.history['internal'][-1][0] == '<|BEGIN-VISIBLE-CHAT|>':
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last = shared.history['visible'].pop()
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shared.history['internal'].pop()
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else:
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last = ['', '']
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if shared.args.cai_chat:
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return generate_chat_html(shared.history['visible'], name1, name2, shared.character), last[0]
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else:
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return shared.history['visible'], last[0]
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def send_last_reply_to_input():
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if len(shared.history['internal']) > 0:
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return shared.history['internal'][-1][1]
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else:
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return ''
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def replace_last_reply(text, name1, name2):
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if len(shared.history['visible']) > 0:
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if shared.args.cai_chat:
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shared.history['visible'][-1][1] = text
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else:
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shared.history['visible'][-1] = (shared.history['visible'][-1][0], text)
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shared.history['internal'][-1][1] = apply_extensions(text, "input")
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return generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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def clear_html():
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return generate_chat_html([], "", "", shared.character)
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def clear_chat_log(name1, name2):
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if shared.character != 'None':
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found = False
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for i in range(len(shared.history['internal'])):
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if '<|BEGIN-VISIBLE-CHAT|>' in shared.history['internal'][i][0]:
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shared.history['visible'] = [['', apply_extensions(shared.history['internal'][i][1], "output")]]
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shared.history['internal'] = [shared.history['internal'][i]]
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found = True
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break
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if not found:
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shared.history['visible'] = []
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shared.history['internal'] = []
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else:
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shared.history['internal'] = []
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shared.history['visible'] = []
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return generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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def redraw_html(name1, name2):
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return generate_chat_html(shared.history['visible'], name1, name2, shared.character)
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def tokenize_dialogue(dialogue, name1, name2):
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_history = []
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dialogue = re.sub('<START>', '', dialogue)
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dialogue = re.sub('<start>', '', dialogue)
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dialogue = re.sub('(\n|^)[Aa]non:', '\\1You:', dialogue)
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dialogue = re.sub('(\n|^)\[CHARACTER\]:', f'\\g<1>{name2}:', dialogue)
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idx = [m.start() for m in re.finditer(f"(^|\n)({re.escape(name1)}|{re.escape(name2)}):", dialogue)]
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if len(idx) == 0:
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return _history
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messages = []
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for i in range(len(idx)-1):
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messages.append(dialogue[idx[i]:idx[i+1]].strip())
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messages.append(dialogue[idx[-1]:].strip())
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entry = ['', '']
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for i in messages:
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if i.startswith(f'{name1}:'):
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entry[0] = i[len(f'{name1}:'):].strip()
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elif i.startswith(f'{name2}:'):
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entry[1] = i[len(f'{name2}:'):].strip()
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if not (len(entry[0]) == 0 and len(entry[1]) == 0):
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_history.append(entry)
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entry = ['', '']
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print("\033[1;32;1m\nDialogue tokenized to:\033[0;37;0m\n", end='')
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for row in _history:
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for column in row:
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print("\n")
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for line in column.strip().split('\n'):
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print("| "+line+"\n")
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print("|\n")
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print("------------------------------")
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return _history
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def save_history(timestamp=True):
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prefix = '' if shared.character == 'None' else f"{shared.character}_"
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if timestamp:
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fname = f"{prefix}{datetime.now().strftime('%Y%m%d-%H%M%S')}.json"
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else:
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fname = f"{prefix}persistent.json"
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if not Path('logs').exists():
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Path('logs').mkdir()
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with open(Path(f'logs/{fname}'), 'w', encoding='utf-8') as f:
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f.write(json.dumps({'data': shared.history['internal'], 'data_visible': shared.history['visible']}, indent=2))
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return Path(f'logs/{fname}')
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def load_history(file, name1, name2):
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file = file.decode('utf-8')
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try:
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j = json.loads(file)
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if 'data' in j:
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shared.history['internal'] = j['data']
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if 'data_visible' in j:
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shared.history['visible'] = j['data_visible']
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else:
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shared.history['visible'] = copy.deepcopy(shared.history['internal'])
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# Compatibility with Pygmalion AI's official web UI
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elif 'chat' in j:
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shared.history['internal'] = [':'.join(x.split(':')[1:]).strip() for x in j['chat']]
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if len(j['chat']) > 0 and j['chat'][0].startswith(f'{name2}:'):
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shared.history['internal'] = [['<|BEGIN-VISIBLE-CHAT|>', shared.history['internal'][0]]] + [[shared.history['internal'][i], shared.history['internal'][i+1]] for i in range(1, len(shared.history['internal'])-1, 2)]
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shared.history['visible'] = copy.deepcopy(shared.history['internal'])
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shared.history['visible'][0][0] = ''
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else:
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shared.history['internal'] = [[shared.history['internal'][i], shared.history['internal'][i+1]] for i in range(0, len(shared.history['internal'])-1, 2)]
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shared.history['visible'] = copy.deepcopy(shared.history['internal'])
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except:
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shared.history['internal'] = tokenize_dialogue(file, name1, name2)
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shared.history['visible'] = copy.deepcopy(shared.history['internal'])
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def load_default_history(name1, name2):
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if Path('logs/persistent.json').exists():
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load_history(open(Path('logs/persistent.json'), 'rb').read(), name1, name2)
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else:
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shared.history['internal'] = []
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shared.history['visible'] = []
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def load_character(_character, name1, name2):
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context = ""
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shared.history['internal'] = []
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shared.history['visible'] = []
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if _character != 'None':
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shared.character = _character
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data = json.loads(open(Path(f'characters/{_character}.json'), 'r', encoding='utf-8').read())
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name2 = data['char_name']
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if 'char_persona' in data and data['char_persona'] != '':
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context += f"{data['char_name']}'s Persona: {data['char_persona']}\n"
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if 'world_scenario' in data and data['world_scenario'] != '':
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context += f"Scenario: {data['world_scenario']}\n"
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context = f"{context.strip()}\n<START>\n"
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if 'example_dialogue' in data and data['example_dialogue'] != '':
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data['example_dialogue'] = data['example_dialogue'].replace('{{user}}', name1).replace('{{char}}', name2)
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data['example_dialogue'] = data['example_dialogue'].replace('<USER>', name1).replace('<BOT>', name2)
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context += f"{data['example_dialogue'].strip()}\n"
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if 'char_greeting' in data and len(data['char_greeting'].strip()) > 0:
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shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', data['char_greeting']]]
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shared.history['visible'] += [['', apply_extensions(data['char_greeting'], "output")]]
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else:
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shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', "Hello there!"]]
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shared.history['visible'] += [['', "Hello there!"]]
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else:
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shared.character = None
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context = shared.settings['context_pygmalion']
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name2 = shared.settings['name2_pygmalion']
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if Path(f'logs/{shared.character}_persistent.json').exists():
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load_history(open(Path(f'logs/{shared.character}_persistent.json'), 'rb').read(), name1, name2)
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if shared.args.cai_chat:
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return name2, context, generate_chat_html(shared.history['visible'], name1, name2, shared.character)
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else:
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return name2, context, shared.history['visible']
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def upload_character(json_file, img, tavern=False):
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json_file = json_file if type(json_file) == str else json_file.decode('utf-8')
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data = json.loads(json_file)
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outfile_name = data["char_name"]
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i = 1
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while Path(f'characters/{outfile_name}.json').exists():
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outfile_name = f'{data["char_name"]}_{i:03d}'
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i += 1
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if tavern:
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outfile_name = f'TavernAI-{outfile_name}'
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with open(Path(f'characters/{outfile_name}.json'), 'w', encoding='utf-8') as f:
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f.write(json_file)
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if img is not None:
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img = Image.open(io.BytesIO(img))
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img.save(Path(f'characters/{outfile_name}.png'))
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print(f'New character saved to "characters/{outfile_name}.json".')
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return outfile_name
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def upload_tavern_character(img, name1, name2):
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_img = Image.open(io.BytesIO(img))
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_img.getexif()
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decoded_string = base64.b64decode(_img.info['chara'])
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_json = json.loads(decoded_string)
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_json = {"char_name": _json['name'], "char_persona": _json['description'], "char_greeting": _json["first_mes"], "example_dialogue": _json['mes_example'], "world_scenario": _json['scenario']}
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return upload_character(json.dumps(_json), img, tavern=True)
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def upload_your_profile_picture(img):
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img = Image.open(io.BytesIO(img))
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img.save(Path('img_me.png'))
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print('Profile picture saved to "img_me.png"')
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