chat.py 18 KB

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  1. import base64
  2. import copy
  3. import io
  4. import json
  5. import re
  6. from datetime import datetime
  7. from pathlib import Path
  8. from PIL import Image
  9. import modules.extensions as extensions_module
  10. import modules.shared as shared
  11. from modules.extensions import apply_extensions
  12. from modules.html_generator import generate_chat_html
  13. from modules.text_generation import encode, generate_reply, get_max_prompt_length
  14. # This gets the new line characters right.
  15. def clean_chat_message(text):
  16. text = text.replace('\n', '\n\n')
  17. text = re.sub(r"\n{3,}", "\n\n", text)
  18. text = text.strip()
  19. return text
  20. def generate_chat_output(history, name1, name2, character):
  21. if shared.args.cai_chat:
  22. return generate_chat_html(history, name1, name2, character)
  23. else:
  24. return history
  25. def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=False):
  26. user_input = clean_chat_message(user_input)
  27. rows = [f"{context.strip()}\n"]
  28. if shared.soft_prompt:
  29. chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
  30. max_length = min(get_max_prompt_length(max_new_tokens), chat_prompt_size)
  31. i = len(shared.history['internal'])-1
  32. while i >= 0 and len(encode(''.join(rows), max_new_tokens)[0]) < max_length:
  33. rows.insert(1, f"{name2}: {shared.history['internal'][i][1].strip()}\n")
  34. if not (shared.history['internal'][i][0] == '<|BEGIN-VISIBLE-CHAT|>'):
  35. rows.insert(1, f"{name1}: {shared.history['internal'][i][0].strip()}\n")
  36. i -= 1
  37. if not impersonate:
  38. rows.append(f"{name1}: {user_input}\n")
  39. rows.append(apply_extensions(f"{name2}:", "bot_prefix"))
  40. limit = 3
  41. else:
  42. rows.append(f"{name1}:")
  43. limit = 2
  44. while len(rows) > limit and len(encode(''.join(rows), max_new_tokens)[0]) >= max_length:
  45. rows.pop(1)
  46. prompt = ''.join(rows)
  47. return prompt
  48. def extract_message_from_reply(question, reply, name1, name2, check, impersonate=False):
  49. next_character_found = False
  50. asker = name1 if not impersonate else name2
  51. replier = name2 if not impersonate else name1
  52. previous_idx = [m.start() for m in re.finditer(f"(^|\n){re.escape(replier)}:", question)]
  53. idx = [m.start() for m in re.finditer(f"(^|\n){re.escape(replier)}:", reply)]
  54. idx = idx[max(len(previous_idx)-1, 0)]
  55. if not impersonate:
  56. reply = reply[idx + 1 + len(apply_extensions(f"{replier}:", "bot_prefix")):]
  57. else:
  58. reply = reply[idx + 1 + len(f"{replier}:"):]
  59. if check:
  60. lines = reply.split('\n')
  61. reply = lines[0].strip()
  62. if len(lines) > 1:
  63. next_character_found = True
  64. else:
  65. idx = reply.find(f"\n{asker}:")
  66. if idx != -1:
  67. reply = reply[:idx]
  68. next_character_found = True
  69. reply = clean_chat_message(reply)
  70. # If something like "\nYo" is generated just before "\nYou:"
  71. # is completed, trim it
  72. next_turn = f"\n{asker}:"
  73. for j in range(len(next_turn)-1, 0, -1):
  74. if reply[-j:] == next_turn[:j]:
  75. reply = reply[:-j]
  76. break
  77. return reply, next_character_found
  78. def stop_everything_event():
  79. shared.stop_everything = True
  80. def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1, regenerate=False):
  81. shared.stop_everything = False
  82. just_started = True
  83. eos_token = '\n' if check else None
  84. name1_original = name1
  85. if 'pygmalion' in shared.model_name.lower():
  86. name1 = "You"
  87. # Check if any extension wants to hijack this function call
  88. visible_text = None
  89. custom_generate_chat_prompt = None
  90. for extension, _ in extensions_module.iterator():
  91. if hasattr(extension, 'input_hijack') and extension.input_hijack['state'] == True:
  92. extension.input_hijack['state'] = False
  93. text, visible_text = extension.input_hijack['value']
  94. if custom_generate_chat_prompt is None and hasattr(extension, 'custom_generate_chat_prompt'):
  95. custom_generate_chat_prompt = extension.custom_generate_chat_prompt
  96. if visible_text is None:
  97. visible_text = text
  98. if shared.args.chat:
  99. visible_text = visible_text.replace('\n', '<br>')
  100. text = apply_extensions(text, "input")
  101. if custom_generate_chat_prompt is None:
  102. prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
  103. else:
  104. prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
  105. # Yield *Is typing...*
  106. if not regenerate:
  107. yield shared.history['visible']+[[visible_text, shared.processing_message]]
  108. # Generate
  109. reply = ''
  110. for i in range(chat_generation_attempts):
  111. 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, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name1}:"):
  112. # Extracting the reply
  113. reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check)
  114. visible_reply = re.sub("(<USER>|<user>|{{user}})", name1_original, reply)
  115. visible_reply = apply_extensions(visible_reply, "output")
  116. if shared.args.chat:
  117. visible_reply = visible_reply.replace('\n', '<br>')
  118. # We need this global variable to handle the Stop event,
  119. # otherwise gradio gets confused
  120. if shared.stop_everything:
  121. return shared.history['visible']
  122. if just_started:
  123. just_started = False
  124. shared.history['internal'].append(['', ''])
  125. shared.history['visible'].append(['', ''])
  126. shared.history['internal'][-1] = [text, reply]
  127. shared.history['visible'][-1] = [visible_text, visible_reply]
  128. if not shared.args.no_stream:
  129. yield shared.history['visible']
  130. if next_character_found:
  131. break
  132. yield shared.history['visible']
  133. def impersonate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
  134. eos_token = '\n' if check else None
  135. if 'pygmalion' in shared.model_name.lower():
  136. name1 = "You"
  137. prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, impersonate=True)
  138. reply = ''
  139. # Yield *Is typing...*
  140. yield shared.processing_message
  141. for i in range(chat_generation_attempts):
  142. for reply in generate_reply(prompt+reply, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name2}:"):
  143. reply, next_character_found = extract_message_from_reply(prompt, reply, name1, name2, check, impersonate=True)
  144. yield reply
  145. if next_character_found:
  146. break
  147. yield reply
  148. def cai_chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
  149. for _history in chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts):
  150. yield generate_chat_html(_history, name1, name2, shared.character)
  151. def regenerate_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts=1):
  152. if (shared.character != 'None' and len(shared.history['visible']) == 1) or len(shared.history['internal']) == 0:
  153. yield generate_chat_output(shared.history['visible'], name1, name2, shared.character)
  154. else:
  155. last_visible = shared.history['visible'].pop()
  156. last_internal = shared.history['internal'].pop()
  157. # Yield '*Is typing...*'
  158. yield generate_chat_output(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, shared.character)
  159. for _history in chatbot_wrapper(last_internal[0], max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size, chat_generation_attempts, regenerate=True):
  160. if shared.args.cai_chat:
  161. shared.history['visible'][-1] = [last_visible[0], _history[-1][1]]
  162. else:
  163. shared.history['visible'][-1] = (last_visible[0], _history[-1][1])
  164. yield generate_chat_output(shared.history['visible'], name1, name2, shared.character)
  165. def remove_last_message(name1, name2):
  166. if len(shared.history['visible']) > 0 and not shared.history['internal'][-1][0] == '<|BEGIN-VISIBLE-CHAT|>':
  167. last = shared.history['visible'].pop()
  168. shared.history['internal'].pop()
  169. else:
  170. last = ['', '']
  171. if shared.args.cai_chat:
  172. return generate_chat_html(shared.history['visible'], name1, name2, shared.character), last[0]
  173. else:
  174. return shared.history['visible'], last[0]
  175. def send_last_reply_to_input():
  176. if len(shared.history['internal']) > 0:
  177. return shared.history['internal'][-1][1]
  178. else:
  179. return ''
  180. def replace_last_reply(text, name1, name2):
  181. if len(shared.history['visible']) > 0:
  182. if shared.args.cai_chat:
  183. shared.history['visible'][-1][1] = text
  184. else:
  185. shared.history['visible'][-1] = (shared.history['visible'][-1][0], text)
  186. shared.history['internal'][-1][1] = apply_extensions(text, "input")
  187. return generate_chat_output(shared.history['visible'], name1, name2, shared.character)
  188. def clear_html():
  189. return generate_chat_html([], "", "", shared.character)
  190. def clear_chat_log(name1, name2):
  191. if shared.character != 'None':
  192. found = False
  193. for i in range(len(shared.history['internal'])):
  194. if '<|BEGIN-VISIBLE-CHAT|>' in shared.history['internal'][i][0]:
  195. shared.history['visible'] = [['', apply_extensions(shared.history['internal'][i][1], "output")]]
  196. shared.history['internal'] = [shared.history['internal'][i]]
  197. found = True
  198. break
  199. if not found:
  200. shared.history['visible'] = []
  201. shared.history['internal'] = []
  202. else:
  203. shared.history['internal'] = []
  204. shared.history['visible'] = []
  205. return generate_chat_output(shared.history['visible'], name1, name2, shared.character)
  206. def redraw_html(name1, name2):
  207. return generate_chat_html(shared.history['visible'], name1, name2, shared.character)
  208. def tokenize_dialogue(dialogue, name1, name2):
  209. _history = []
  210. dialogue = re.sub('<START>', '', dialogue)
  211. dialogue = re.sub('<start>', '', dialogue)
  212. dialogue = re.sub('(\n|^)[Aa]non:', '\\1You:', dialogue)
  213. dialogue = re.sub('(\n|^)\[CHARACTER\]:', f'\\g<1>{name2}:', dialogue)
  214. idx = [m.start() for m in re.finditer(f"(^|\n)({re.escape(name1)}|{re.escape(name2)}):", dialogue)]
  215. if len(idx) == 0:
  216. return _history
  217. messages = []
  218. for i in range(len(idx)-1):
  219. messages.append(dialogue[idx[i]:idx[i+1]].strip())
  220. messages.append(dialogue[idx[-1]:].strip())
  221. entry = ['', '']
  222. for i in messages:
  223. if i.startswith(f'{name1}:'):
  224. entry[0] = i[len(f'{name1}:'):].strip()
  225. elif i.startswith(f'{name2}:'):
  226. entry[1] = i[len(f'{name2}:'):].strip()
  227. if not (len(entry[0]) == 0 and len(entry[1]) == 0):
  228. _history.append(entry)
  229. entry = ['', '']
  230. print("\033[1;32;1m\nDialogue tokenized to:\033[0;37;0m\n", end='')
  231. for row in _history:
  232. for column in row:
  233. print("\n")
  234. for line in column.strip().split('\n'):
  235. print("| "+line+"\n")
  236. print("|\n")
  237. print("------------------------------")
  238. return _history
  239. def save_history(timestamp=True):
  240. prefix = '' if shared.character == 'None' else f"{shared.character}_"
  241. if timestamp:
  242. fname = f"{prefix}{datetime.now().strftime('%Y%m%d-%H%M%S')}.json"
  243. else:
  244. fname = f"{prefix}persistent.json"
  245. if not Path('logs').exists():
  246. Path('logs').mkdir()
  247. with open(Path(f'logs/{fname}'), 'w', encoding='utf-8') as f:
  248. f.write(json.dumps({'data': shared.history['internal'], 'data_visible': shared.history['visible']}, indent=2))
  249. return Path(f'logs/{fname}')
  250. def load_history(file, name1, name2):
  251. file = file.decode('utf-8')
  252. try:
  253. j = json.loads(file)
  254. if 'data' in j:
  255. shared.history['internal'] = j['data']
  256. if 'data_visible' in j:
  257. shared.history['visible'] = j['data_visible']
  258. else:
  259. shared.history['visible'] = copy.deepcopy(shared.history['internal'])
  260. # Compatibility with Pygmalion AI's official web UI
  261. elif 'chat' in j:
  262. shared.history['internal'] = [':'.join(x.split(':')[1:]).strip() for x in j['chat']]
  263. if len(j['chat']) > 0 and j['chat'][0].startswith(f'{name2}:'):
  264. 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)]
  265. shared.history['visible'] = copy.deepcopy(shared.history['internal'])
  266. shared.history['visible'][0][0] = ''
  267. else:
  268. shared.history['internal'] = [[shared.history['internal'][i], shared.history['internal'][i+1]] for i in range(0, len(shared.history['internal'])-1, 2)]
  269. shared.history['visible'] = copy.deepcopy(shared.history['internal'])
  270. except:
  271. shared.history['internal'] = tokenize_dialogue(file, name1, name2)
  272. shared.history['visible'] = copy.deepcopy(shared.history['internal'])
  273. def load_default_history(name1, name2):
  274. if Path('logs/persistent.json').exists():
  275. load_history(open(Path('logs/persistent.json'), 'rb').read(), name1, name2)
  276. else:
  277. shared.history['internal'] = []
  278. shared.history['visible'] = []
  279. def load_character(_character, name1, name2):
  280. context = ""
  281. shared.history['internal'] = []
  282. shared.history['visible'] = []
  283. if _character != 'None':
  284. shared.character = _character
  285. data = json.loads(open(Path(f'characters/{_character}.json'), 'r', encoding='utf-8').read())
  286. name2 = data['char_name']
  287. if 'char_persona' in data and data['char_persona'] != '':
  288. context += f"{data['char_name']}'s Persona: {data['char_persona']}\n"
  289. if 'world_scenario' in data and data['world_scenario'] != '':
  290. context += f"Scenario: {data['world_scenario']}\n"
  291. context = f"{context.strip()}\n<START>\n"
  292. if 'example_dialogue' in data and data['example_dialogue'] != '':
  293. data['example_dialogue'] = data['example_dialogue'].replace('{{user}}', name1).replace('{{char}}', name2)
  294. data['example_dialogue'] = data['example_dialogue'].replace('<USER>', name1).replace('<BOT>', name2)
  295. context += f"{data['example_dialogue'].strip()}\n"
  296. if 'char_greeting' in data and len(data['char_greeting'].strip()) > 0:
  297. shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', data['char_greeting']]]
  298. shared.history['visible'] += [['', apply_extensions(data['char_greeting'], "output")]]
  299. else:
  300. shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', "Hello there!"]]
  301. shared.history['visible'] += [['', "Hello there!"]]
  302. else:
  303. shared.character = None
  304. context = shared.settings['context_pygmalion']
  305. name2 = shared.settings['name2_pygmalion']
  306. if Path(f'logs/{shared.character}_persistent.json').exists():
  307. load_history(open(Path(f'logs/{shared.character}_persistent.json'), 'rb').read(), name1, name2)
  308. if shared.args.cai_chat:
  309. return name2, context, generate_chat_html(shared.history['visible'], name1, name2, shared.character)
  310. else:
  311. return name2, context, shared.history['visible']
  312. def upload_character(json_file, img, tavern=False):
  313. json_file = json_file if type(json_file) == str else json_file.decode('utf-8')
  314. data = json.loads(json_file)
  315. outfile_name = data["char_name"]
  316. i = 1
  317. while Path(f'characters/{outfile_name}.json').exists():
  318. outfile_name = f'{data["char_name"]}_{i:03d}'
  319. i += 1
  320. if tavern:
  321. outfile_name = f'TavernAI-{outfile_name}'
  322. with open(Path(f'characters/{outfile_name}.json'), 'w', encoding='utf-8') as f:
  323. f.write(json_file)
  324. if img is not None:
  325. img = Image.open(io.BytesIO(img))
  326. img.save(Path(f'characters/{outfile_name}.png'))
  327. print(f'New character saved to "characters/{outfile_name}.json".')
  328. return outfile_name
  329. def upload_tavern_character(img, name1, name2):
  330. _img = Image.open(io.BytesIO(img))
  331. _img.getexif()
  332. decoded_string = base64.b64decode(_img.info['chara'])
  333. _json = json.loads(decoded_string)
  334. _json = {"char_name": _json['name'], "char_persona": _json['description'], "char_greeting": _json["first_mes"], "example_dialogue": _json['mes_example'], "world_scenario": _json['scenario']}
  335. return upload_character(json.dumps(_json), img, tavern=True)
  336. def upload_your_profile_picture(img):
  337. img = Image.open(io.BytesIO(img))
  338. img.save(Path('img_me.png'))
  339. print('Profile picture saved to "img_me.png"')