text-generation-webui/modules/chat.py
2023-04-05 13:54:50 -03:00

434 lines
20 KiB
Python

import base64
import copy
import io
import json
import re
from datetime import datetime
from pathlib import Path
import yaml
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, chat_html_wrapper,
make_thumbnail)
from modules.text_generation import (encode, generate_reply,
get_max_prompt_length)
def generate_chat_prompt(user_input, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn="", impersonate=False, also_return_rows=False):
user_input = fix_newlines(user_input)
rows = [f"{context.strip()}\n"]
# Finding the maximum prompt size
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)
if is_instruct:
prefix1 = f"{name1}\n"
prefix2 = f"{name2}\n"
else:
prefix1 = f"{name1}: "
prefix2 = f"{name2}: "
i = len(shared.history['internal'])-1
while i >= 0 and len(encode(''.join(rows), max_new_tokens)[0]) < max_length:
rows.insert(1, f"{prefix2}{shared.history['internal'][i][1].strip()}{end_of_turn}\n")
string = shared.history['internal'][i][0]
if string not in ['', '<|BEGIN-VISIBLE-CHAT|>']:
rows.insert(1, f"{prefix1}{string.strip()}{end_of_turn}\n")
i -= 1
if impersonate:
rows.append(f"{prefix1.strip() if not is_instruct else prefix1}")
limit = 2
else:
# Adding the user message
if len(user_input) > 0:
rows.append(f"{prefix1}{user_input}{end_of_turn}\n")
# Adding the Character prefix
rows.append(apply_extensions(f"{prefix2.strip() if not is_instruct else prefix2}", "bot_prefix"))
limit = 3
while len(rows) > limit and len(encode(''.join(rows), max_new_tokens)[0]) >= max_length:
rows.pop(1)
prompt = ''.join(rows)
if also_return_rows:
return prompt, rows
else:
return prompt
def extract_message_from_reply(reply, name1, name2, stop_at_newline):
next_character_found = False
if stop_at_newline:
lines = reply.split('\n')
reply = lines[0].strip()
if len(lines) > 1:
next_character_found = True
else:
for string in [f"\n{name1}:", f"\n{name2}:"]:
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 [f"\n{name1}:", f"\n{name2}:"]:
for j in range(len(string)-1, 0, -1):
if reply[-j:] == string[:j]:
reply = reply[:-j]
break
reply = fix_newlines(reply)
return reply, next_character_found
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, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, regenerate=False, mode="cai-chat", end_of_turn=""):
just_started = True
eos_token = '\n' if stop_at_newline 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
text = apply_extensions(text, "input")
is_instruct = mode == 'instruct'
if custom_generate_chat_prompt is None:
prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn=end_of_turn)
else:
prompt = custom_generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size, is_instruct, end_of_turn=end_of_turn)
# Yield *Is typing...*
if not regenerate:
yield shared.history['visible']+[[visible_text, shared.processing_message]]
# Generate
cumulative_reply = ''
for i in range(chat_generation_attempts):
reply = None
for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_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_strings=[f"\n{name1}:", f"\n{name2}:"]):
reply = cumulative_reply + reply
# Extracting the reply
reply, next_character_found = extract_message_from_reply(reply, name1, name2, stop_at_newline)
visible_reply = re.sub("(<USER>|<user>|{{user}})", name1_original, reply)
visible_reply = apply_extensions(visible_reply, "output")
# 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
if reply is not None:
cumulative_reply = reply
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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
eos_token = '\n' if stop_at_newline 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, end_of_turn=end_of_turn)
# Yield *Is typing...*
yield shared.processing_message
cumulative_reply = ''
for i in range(chat_generation_attempts):
reply = None
for reply in generate_reply(f"{prompt}{' ' if len(cumulative_reply) > 0 else ''}{cumulative_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_strings=[f"\n{name1}:", f"\n{name2}:"]):
reply = cumulative_reply + reply
reply, next_character_found = extract_message_from_reply(reply, name1, name2, stop_at_newline)
yield reply
if next_character_found:
break
if reply is not None:
cumulative_reply = reply
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, seed, name1, name2, context, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
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, stop_at_newline, chat_prompt_size, chat_generation_attempts, regenerate=False, mode=mode, end_of_turn=end_of_turn):
yield chat_html_wrapper(history, name1, name2, mode)
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, stop_at_newline, chat_prompt_size, chat_generation_attempts=1, mode="cai-chat", end_of_turn=""):
if (shared.character != 'None' and len(shared.history['visible']) == 1) or len(shared.history['internal']) == 0:
yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
else:
last_visible = shared.history['visible'].pop()
last_internal = shared.history['internal'].pop()
# Yield '*Is typing...*'
yield chat_html_wrapper(shared.history['visible']+[[last_visible[0], shared.processing_message]], name1, name2, mode)
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, stop_at_newline, chat_prompt_size, chat_generation_attempts, regenerate=True, mode=mode, end_of_turn=end_of_turn):
shared.history['visible'][-1] = [last_visible[0], history[-1][1]]
yield chat_html_wrapper(shared.history['visible'], name1, name2, mode)
def remove_last_message(name1, name2, mode):
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 chat_html_wrapper(shared.history['visible'], name1, name2, mode), 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, mode):
if len(shared.history['visible']) > 0:
shared.history['visible'][-1][1] = text
shared.history['internal'][-1][1] = apply_extensions(text, "input")
return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
def clear_html():
return chat_html_wrapper([], "", "")
def clear_chat_log(name1, name2, greeting, mode):
shared.history['visible'] = []
shared.history['internal'] = []
if greeting != '':
shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
def redraw_html(name1, name2, mode):
return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
def tokenize_dialogue(dialogue, name1, name2, mode):
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):
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'])
# 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 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, instruct=False):
shared.character = character
shared.history['internal'] = []
shared.history['visible'] = []
context = greeting = end_of_turn = ""
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 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)
if 'your_name' in data and data['your_name'] != '':
name1 = data['your_name']
name2 = data['name'] if 'name' in data else data['char_name']
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 = f"{data['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 'end_of_turn' in data:
end_of_turn = data['end_of_turn']
else:
context = shared.settings['context']
name2 = shared.settings['name2']
greeting = shared.settings['greeting']
end_of_turn = shared.settings['end_of_turn']
if Path(f'logs/{shared.character}_persistent.json').exists():
load_history(open(Path(f'logs/{shared.character}_persistent.json'), 'rb').read(), name1, name2)
elif greeting != "":
shared.history['internal'] += [['<|BEGIN-VISIBLE-CHAT|>', greeting]]
shared.history['visible'] += [['', apply_extensions(greeting, "output")]]
return name1, name2, picture, greeting, context, end_of_turn, chat_html_wrapper(shared.history['visible'], name1, name2, reset_cache=True)
def load_default_history(name1, name2):
load_character("None", name1, name2)
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, name1, name2, mode):
cache_folder = Path("cache")
if not cache_folder.exists():
cache_folder.mkdir()
if img == 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'))
print('Profile picture saved to "cache/pfp_me.png"')
return chat_html_wrapper(shared.history['visible'], name1, name2, mode, reset_cache=True)