mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-01 01:26:03 -04:00
397 lines
18 KiB
Python
397 lines
18 KiB
Python
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, also_return_rows=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")
|
|
prev_user_input = shared.history['internal'][i][0]
|
|
if len(prev_user_input) > 0 and prev_user_input != '<|BEGIN-VISIBLE-CHAT|>':
|
|
rows.insert(1, f"{name1}: {prev_user_input.strip()}\n")
|
|
i -= 1
|
|
|
|
if not impersonate:
|
|
if len(user_input) > 0:
|
|
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)
|
|
|
|
if also_return_rows:
|
|
return prompt, rows
|
|
else:
|
|
return prompt
|
|
|
|
def extract_message_from_reply(reply, name1, name2, check):
|
|
next_character_found = False
|
|
|
|
if check:
|
|
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, check, chat_prompt_size, chat_generation_attempts=1, regenerate=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
|
|
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, 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
|
|
|
|
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, 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)
|
|
|
|
# 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, check)
|
|
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, 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, seed, 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, seed, 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, seed, 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"')
|