text-generation-webui/modules/chat.py
2023-05-11 15:37:04 -03:00

557 lines
20 KiB
Python

import ast
import base64
import copy
import io
import json
import logging
import re
from datetime import datetime
from pathlib import Path
import yaml
from PIL import Image
import modules.shared as shared
from modules.extensions import apply_extensions
from modules.html_generator import chat_html_wrapper, make_thumbnail
from modules.text_generation import (generate_reply, get_encoded_length,
get_max_prompt_length)
from modules.utils import replace_all
def generate_chat_prompt(user_input, state, **kwargs):
# Check if an extension is sending its modified history.
# If not, use the regular history
history = state['history'] if 'history' in state else shared.history['internal']
# Define some variables
impersonate = kwargs['impersonate'] if 'impersonate' in kwargs else False
_continue = kwargs['_continue'] if '_continue' in kwargs else False
also_return_rows = kwargs['also_return_rows'] if 'also_return_rows' in kwargs else False
is_instruct = state['mode'] == 'instruct'
rows = [state['context_instruct'] if is_instruct else f"{state['context'].strip()}\n"]
min_rows = 3
# Finding the maximum prompt size
chat_prompt_size = state['chat_prompt_size']
if shared.soft_prompt:
chat_prompt_size -= shared.soft_prompt_tensor.shape[1]
max_length = min(get_max_prompt_length(state), chat_prompt_size)
# Building the turn templates
if is_instruct:
if 'turn_template' not in state or state['turn_template'] == '':
template = '<|user|>\n<|user-message|>\n<|bot|>\n<|bot-message|>\n'
else:
template = state['turn_template'].replace(r'\n', '\n')
else:
template = '<|user|>: <|user-message|>\n<|bot|>: <|bot-message|>\n'
replacements = {
'<|user|>': state['name1_instruct' if is_instruct else 'name1'].strip(),
'<|bot|>': state['name2_instruct' if is_instruct else 'name2'].strip(),
}
user_turn = replace_all(template.split('<|bot|>')[0], replacements)
bot_turn = replace_all('<|bot|>' + template.split('<|bot|>')[1], replacements)
user_turn_stripped = replace_all(user_turn.split('<|user-message|>')[0], replacements)
bot_turn_stripped = replace_all(bot_turn.split('<|bot-message|>')[0], replacements)
# Building the prompt
i = len(history) - 1
while i >= 0 and get_encoded_length(''.join(rows)) < max_length:
if _continue and i == len(history) - 1:
rows.insert(1, bot_turn_stripped + history[i][1].strip())
else:
rows.insert(1, bot_turn.replace('<|bot-message|>', history[i][1].strip()))
string = history[i][0]
if string not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
rows.insert(1, replace_all(user_turn, {'<|user-message|>': string.strip(), '<|round|>': str(i)}))
i -= 1
if impersonate:
min_rows = 2
rows.append(user_turn_stripped.rstrip(' '))
elif not _continue:
# Adding the user message
if len(user_input) > 0:
rows.append(replace_all(user_turn, {'<|user-message|>': user_input.strip(), '<|round|>': str(len(history))}))
# Adding the Character prefix
rows.append(apply_extensions("bot_prefix", bot_turn_stripped.rstrip(' ')))
while len(rows) > min_rows and get_encoded_length(''.join(rows)) >= max_length:
rows.pop(1)
prompt = ''.join(rows)
if also_return_rows:
return prompt, rows
else:
return prompt
def get_stopping_strings(state):
if state['mode'] == 'instruct':
stopping_strings = [
state['turn_template'].split('<|user-message|>')[1].split('<|bot|>')[0] + '<|bot|>',
state['turn_template'].split('<|bot-message|>')[1] + '<|user|>'
]
replacements = {
'<|user|>': state['name1_instruct'],
'<|bot|>': state['name2_instruct']
}
for i in range(len(stopping_strings)):
stopping_strings[i] = replace_all(stopping_strings[i], replacements).rstrip(' ').replace(r'\n', '\n')
else:
stopping_strings = [f"\n{state['name1']}:", f"\n{state['name2']}:"]
stopping_strings += ast.literal_eval(f"[{state['custom_stopping_strings']}]")
return stopping_strings
def extract_message_from_reply(reply, state):
next_character_found = False
stopping_strings = get_stopping_strings(state)
if state['stop_at_newline']:
lines = reply.split('\n')
reply = lines[0].strip()
if len(lines) > 1:
next_character_found = True
else:
for string in stopping_strings:
idx = reply.find(string)
if idx != -1:
reply = reply[:idx]
next_character_found = True
# If something like "\nYo" is generated just before "\nYou:"
# is completed, trim it
if not next_character_found:
for string in stopping_strings:
for j in range(len(string) - 1, 0, -1):
if reply[-j:] == string[:j]:
reply = reply[:-j]
break
else:
continue
break
return reply, next_character_found
def chatbot_wrapper(text, state, regenerate=False, _continue=False):
if shared.model_name == 'None' or shared.model is None:
logging.error("No model is loaded! Select one in the Model tab.")
yield shared.history['visible']
return
# Defining some variables
cumulative_reply = ''
just_started = True
visible_text = None
eos_token = '\n' if state['stop_at_newline'] else None
stopping_strings = get_stopping_strings(state)
# Preparing the input
if not any((regenerate, _continue)):
text, visible_text = apply_extensions('input_hijack', text, visible_text)
if visible_text is None:
visible_text = text
text = apply_extensions('input', text)
# *Is typing...*
yield shared.history['visible'] + [[visible_text, shared.processing_message]]
else:
text, visible_text = shared.history['internal'][-1][0], shared.history['visible'][-1][0]
if regenerate:
shared.history['visible'].pop()
shared.history['internal'].pop()
# *Is typing...*
yield shared.history['visible'] + [[visible_text, shared.processing_message]]
elif _continue:
last_reply = [shared.history['internal'][-1][1], shared.history['visible'][-1][1]]
yield shared.history['visible'][:-1] + [[visible_text, last_reply[1] + '...']]
# Generating the prompt
kwargs = {'_continue': _continue}
prompt = apply_extensions('custom_generate_chat_prompt', text, state, **kwargs)
if prompt is None:
prompt = generate_chat_prompt(text, state, **kwargs)
# Generate
for i in range(state['chat_generation_attempts']):
reply = None
for j, reply in enumerate(generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", state, eos_token=eos_token, stopping_strings=stopping_strings, is_chat=True)):
reply = cumulative_reply + reply
# Extracting the reply
reply, next_character_found = extract_message_from_reply(reply, state)
visible_reply = re.sub("(<USER>|<user>|{{user}})", state['name1'], reply)
visible_reply = apply_extensions("output", visible_reply)
if _continue:
sep = ' ' if last_reply[0][-1] not in [' ', '\n'] else ''
reply = last_reply[0] + sep + reply
sep = ' ' if last_reply[1][-1] not in [' ', '\n'] else ''
visible_reply = last_reply[1] + sep + visible_reply
# 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
if not _continue:
shared.history['internal'].append(['', ''])
shared.history['visible'].append(['', ''])
if not (j == 0 and visible_reply.strip() == ''):
shared.history['internal'][-1] = [text, reply]
shared.history['visible'][-1] = [visible_text, visible_reply]
yield shared.history['visible']
if next_character_found:
break
if reply is not None:
cumulative_reply = reply
yield shared.history['visible']
def impersonate_wrapper(text, state):
if shared.model_name == 'None' or shared.model is None:
logging.error("No model is loaded! Select one in the Model tab.")
yield ''
return
# Defining some variables
cumulative_reply = ''
eos_token = '\n' if state['stop_at_newline'] else None
prompt = generate_chat_prompt('', state, impersonate=True)
stopping_strings = get_stopping_strings(state)
yield text + '...'
cumulative_reply = text
for i in range(state['chat_generation_attempts']):
reply = None
for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_reply}", state, eos_token=eos_token, stopping_strings=stopping_strings, is_chat=True):
reply = cumulative_reply + reply
reply, next_character_found = extract_message_from_reply(reply, state)
yield reply
if next_character_found:
break
if reply is not None:
cumulative_reply = reply
yield reply
def generate_chat_reply(text, state, regenerate=False, _continue=False):
if regenerate or _continue:
text = ''
if (len(shared.history['visible']) == 1 and not shared.history['visible'][0][0]) or len(shared.history['internal']) == 0:
yield shared.history['visible']
return
for history in chatbot_wrapper(text, state, regenerate=regenerate, _continue=_continue):
yield history
# Same as above but returns HTML
def generate_chat_reply_wrapper(text, state, regenerate=False, _continue=False):
for history in generate_chat_reply(text, state, regenerate, _continue):
yield chat_html_wrapper(history, state['name1'], state['name2'], state['mode'], state['chat_style'])
def remove_last_message():
if len(shared.history['visible']) > 0 and shared.history['internal'][-1][0] != '<|BEGIN-VISIBLE-CHAT|>':
last = shared.history['visible'].pop()
shared.history['internal'].pop()
else:
last = ['', '']
return 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):
if len(shared.history['visible']) > 0:
shared.history['visible'][-1][1] = text
shared.history['internal'][-1][1] = apply_extensions("input", text)
def send_dummy_message(text):
shared.history['visible'].append([text, ''])
shared.history['internal'].append([apply_extensions("input", text), ''])
def send_dummy_reply(text):
if len(shared.history['visible']) > 0 and not shared.history['visible'][-1][1] == '':
shared.history['visible'].append(['', ''])
shared.history['internal'].append(['', ''])
shared.history['visible'][-1][1] = text
shared.history['internal'][-1][1] = apply_extensions("input", text)
def clear_chat_log(greeting, mode):
shared.history['visible'] = []
shared.history['internal'] = []
if mode != 'instruct':
if greeting != '':
shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
shared.history['visible'] += [['', apply_extensions("output", greeting)]]
save_history(mode)
def redraw_html(name1, name2, mode, style, reset_cache=False):
return chat_html_wrapper(shared.history['visible'], name1, name2, mode, style, reset_cache=reset_cache)
def tokenize_dialogue(dialogue, name1, name2):
history = []
messages = []
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
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(mode, timestamp=False):
# Instruct mode histories should not be saved as if
# Alpaca or Vicuna were characters
if mode == 'instruct':
if not timestamp:
return
fname = f"Instruct_{datetime.now().strftime('%Y%m%d-%H%M%S')}.json"
else:
if timestamp:
fname = f"{shared.character}_{datetime.now().strftime('%Y%m%d-%H%M%S')}.json"
else:
fname = f"{shared.character}_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'])
except:
shared.history['internal'] = tokenize_dialogue(file, name1, name2)
shared.history['visible'] = copy.deepcopy(shared.history['internal'])
def replace_character_names(text, name1, name2):
text = text.replace('{{user}}', name1).replace('{{char}}', name2)
return text.replace('<USER>', name1).replace('<BOT>', name2)
def build_pygmalion_style_context(data):
context = ""
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"
return context
def generate_pfp_cache(character):
cache_folder = Path("cache")
if not cache_folder.exists():
cache_folder.mkdir()
for path in [Path(f"characters/{character}.{extension}") for extension in ['png', 'jpg', 'jpeg']]:
if path.exists():
img = make_thumbnail(Image.open(path))
img.save(Path('cache/pfp_character.png'), format='PNG')
return img
return None
def load_character(character, name1, name2, mode):
shared.character = character
context = greeting = turn_template = ""
greeting_field = 'greeting'
picture = None
# Deleting the profile picture cache, if any
if Path("cache/pfp_character.png").exists():
Path("cache/pfp_character.png").unlink()
if character != 'None':
folder = 'characters' if not mode == 'instruct' else 'characters/instruction-following'
picture = generate_pfp_cache(character)
for extension in ["yml", "yaml", "json"]:
filepath = Path(f'{folder}/{character}.{extension}')
if filepath.exists():
break
file_contents = open(filepath, 'r', encoding='utf-8').read()
data = json.loads(file_contents) if extension == "json" else yaml.safe_load(file_contents)
# Finding the bot's name
for k in ['name', 'bot', '<|bot|>', 'char_name']:
if k in data and data[k] != '':
name2 = data[k]
break
# Find the user name (if any)
for k in ['your_name', 'user', '<|user|>']:
if k in data and data[k] != '':
name1 = data[k]
break
for field in ['context', 'greeting', 'example_dialogue', 'char_persona', 'char_greeting', 'world_scenario']:
if field in data:
data[field] = replace_character_names(data[field], name1, name2)
if 'context' in data:
context = data['context']
if mode != 'instruct':
context = context.strip() + '\n\n'
elif "char_persona" in data:
context = build_pygmalion_style_context(data)
greeting_field = 'char_greeting'
if 'example_dialogue' in data:
context += f"{data['example_dialogue'].strip()}\n"
if greeting_field in data:
greeting = data[greeting_field]
if 'turn_template' in data:
turn_template = data['turn_template']
else:
context = shared.settings['context']
name2 = shared.settings['name2']
greeting = shared.settings['greeting']
turn_template = shared.settings['turn_template']
if mode != 'instruct':
shared.history['internal'] = []
shared.history['visible'] = []
if Path(f'logs/{shared.character}_persistent.json').exists():
load_history(open(Path(f'logs/{shared.character}_persistent.json'), 'rb').read(), name1, name2)
else:
# Insert greeting if it exists
if greeting != "":
shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
shared.history['visible'] += [['', apply_extensions("output", greeting)]]
# Create .json log files since they don't already exist
save_history(mode)
return name1, name2, picture, greeting, context, repr(turn_template)[1:-1]
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'))
logging.info(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):
cache_folder = Path("cache")
if not cache_folder.exists():
cache_folder.mkdir()
if img is None:
if Path("cache/pfp_me.png").exists():
Path("cache/pfp_me.png").unlink()
else:
img = make_thumbnail(img)
img.save(Path('cache/pfp_me.png'))
logging.info('Profile picture saved to "cache/pfp_me.png"')