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