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| 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 generate_chat_html | |
| from modules.text_generation import encode, generate_reply, get_max_prompt_length | |
| # This gets the new line characters right. | |
| def clean_chat_message(text): | |
| text = text.replace('\n', '\n\n') | |
| text = re.sub(r"\n{3,}", "\n\n", text) | |
| text = text.strip() | |
| return text | |
| 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 = clean_chat_message(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 = clean_chat_message(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, 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', '<br>') | |
| 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, 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>|<user>|{{user}})", name1_original, reply) | |
| visible_reply = apply_extensions(visible_reply, "output") | |
| if shared.args.chat: | |
| visible_reply = visible_reply.replace('\n', '<br>') | |
| # 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, 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, 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, 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, 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, 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, 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('<START>', '', dialogue) | |
| dialogue = re.sub('<start>', '', 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<START>\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('<USER>', name1).replace('<BOT>', 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"') | |