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Add a grammar editor to the UI (#4061)

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oobabooga 2023-09-24 18:05:24 -03:00 committed by GitHub
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11 changed files with 75 additions and 62 deletions
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2
api-examples/api-example-chat-stream.py
View File

@ -63,7 +63,7 @@ async def run(user_input, history):
'mirostat_mode': 0,
'mirostat_tau': 5,
'mirostat_eta': 0.1,
'grammar_file': '',
'grammar_string': '',
'guidance_scale': 1,
'negative_prompt': '',

2
api-examples/api-example-chat.py
View File

@ -57,7 +57,7 @@ def run(user_input, history):
'mirostat_mode': 0,
'mirostat_tau': 5,
'mirostat_eta': 0.1,
'grammar_file': '',
'grammar_string': '',
'guidance_scale': 1,
'negative_prompt': '',

2
api-examples/api-example-stream.py
View File

@ -46,7 +46,7 @@ async def run(context):
'mirostat_mode': 0,
'mirostat_tau': 5,
'mirostat_eta': 0.1,
'grammar_file': '',
'grammar_string': '',
'guidance_scale': 1,
'negative_prompt': '',

2
api-examples/api-example.py
View File

@ -38,7 +38,7 @@ def run(prompt):
'mirostat_mode': 0,
'mirostat_tau': 5,
'mirostat_eta': 0.1,
'grammar_file': '',
'grammar_string': '',
'guidance_scale': 1,
'negative_prompt': '',

2
extensions/api/util.py
View File

@ -44,7 +44,7 @@ def build_parameters(body, chat=False):
'mirostat_mode': int(body.get('mirostat_mode', 0)),
'mirostat_tau': float(body.get('mirostat_tau', 5)),
'mirostat_eta': float(body.get('mirostat_eta', 0.1)),
'grammar_file': str(body.get('grammar_file', '')),
'grammar_string': str(body.get('grammar_string', '')),
'guidance_scale': float(body.get('guidance_scale', 1)),
'negative_prompt': str(body.get('negative_prompt', '')),
'seed': int(body.get('seed', -1)),

2
extensions/openai/defaults.py
View File

@ -34,7 +34,7 @@ default_req_params = {
'mirostat_mode': 0,
'mirostat_tau': 5.0,
'mirostat_eta': 0.1,
'grammar_file': '',
'grammar_string': '',
'guidance_scale': 1,
'negative_prompt': '',
'ban_eos_token': False,

16
modules/llamacpp_model.py
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@ -43,7 +43,7 @@ def custom_token_ban_logits_processor(token_ids, input_ids, logits):
class LlamaCppModel:
def __init__(self):
self.initialized = False
self.grammar_file = 'None'
self.grammar_string = ''
self.grammar = None
def __del__(self):
@ -110,13 +110,11 @@ class LlamaCppModel:
logits = np.expand_dims(logits, 0) # batch dim is expected
return torch.tensor(logits, dtype=torch.float32)
def load_grammar(self, fname):
if fname != self.grammar_file:
self.grammar_file = fname
p = Path(f'grammars/{fname}')
if p.exists():
logger.info(f'Loading the following grammar file: {p}')
self.grammar = llama_cpp_lib().LlamaGrammar.from_file(str(p))
def load_grammar(self, string):
if string != self.grammar_string:
self.grammar_string = string
if string.strip() != '':
self.grammar = llama_cpp_lib().LlamaGrammar.from_string(string)
else:
self.grammar = None
@ -131,7 +129,7 @@ class LlamaCppModel:
prompt = prompt[-get_max_prompt_length(state):]
prompt = self.decode(prompt)
self.load_grammar(state['grammar_file'])
self.load_grammar(state['grammar_string'])
logit_processors = LogitsProcessorList()
if state['ban_eos_token']:
logit_processors.append(partial(ban_eos_logits_processor, self.model.token_eos()))

1
modules/loaders.py
View File

@ -306,6 +306,7 @@ loaders_samplers = {
'mirostat_tau',
'mirostat_eta',
'grammar_file_row',
'grammar_string',
'ban_eos_token',
'custom_token_bans',
},

2
modules/ui.py
View File

@ -114,7 +114,7 @@ def list_interface_input_elements():
'mirostat_mode',
'mirostat_tau',
'mirostat_eta',
'grammar_file',
'grammar_string',
'negative_prompt',
'guidance_scale',
'add_bos_token',

12
modules/ui_file_saving.py
View File

@ -73,3 +73,15 @@ def create_event_handlers():
lambda x: f'{x}.yaml', gradio('preset_menu'), gradio('delete_filename')).then(
lambda: 'presets/', None, gradio('delete_root')).then(
lambda: gr.update(visible=True), None, gradio('file_deleter'))
shared.gradio['save_grammar'].click(
ui.gather_interface_values, gradio(shared.input_elements), gradio('interface_state')).then(
lambda x: x, gradio('grammar_string'), gradio('save_contents')).then(
lambda: 'grammars/', None, gradio('save_root')).then(
lambda: 'My Fancy Grammar.gbnf', None, gradio('save_filename')).then(
lambda: gr.update(visible=True), None, gradio('file_saver'))
shared.gradio['delete_grammar'].click(
lambda x: x, gradio('grammar_file'), gradio('delete_filename')).then(
lambda: 'grammars/', None, gradio('delete_root')).then(
lambda: gr.update(visible=True), None, gradio('file_deleter'))

62
modules/ui_parameters.py
View File

@ -1,3 +1,5 @@
from pathlib import Path
import gradio as gr
from modules import loaders, presets, shared, ui, ui_chat, utils
@ -21,27 +23,36 @@ def create_ui(default_preset):
with gr.Row():
with gr.Column():
with gr.Box():
with gr.Row():
with gr.Column():
shared.gradio['max_new_tokens'] = gr.Slider(minimum=shared.settings['max_new_tokens_min'], maximum=shared.settings['max_new_tokens_max'], step=1, label='max_new_tokens', value=shared.settings['max_new_tokens'])
shared.gradio['temperature'] = gr.Slider(0.01, 1.99, value=generate_params['temperature'], step=0.01, label='temperature')
shared.gradio['top_p'] = gr.Slider(0.0, 1.0, value=generate_params['top_p'], step=0.01, label='top_p')
shared.gradio['top_k'] = gr.Slider(0, 200, value=generate_params['top_k'], step=1, label='top_k')
shared.gradio['typical_p'] = gr.Slider(0.0, 1.0, value=generate_params['typical_p'], step=0.01, label='typical_p')
shared.gradio['epsilon_cutoff'] = gr.Slider(0, 9, value=generate_params['epsilon_cutoff'], step=0.01, label='epsilon_cutoff')
shared.gradio['eta_cutoff'] = gr.Slider(0, 20, value=generate_params['eta_cutoff'], step=0.01, label='eta_cutoff')
shared.gradio['tfs'] = gr.Slider(0.0, 1.0, value=generate_params['tfs'], step=0.01, label='tfs')
shared.gradio['top_a'] = gr.Slider(0.0, 1.0, value=generate_params['top_a'], step=0.01, label='top_a')
with gr.Column():
shared.gradio['repetition_penalty'] = gr.Slider(1.0, 1.5, value=generate_params['repetition_penalty'], step=0.01, label='repetition_penalty')
shared.gradio['repetition_penalty_range'] = gr.Slider(0, 4096, step=64, value=generate_params['repetition_penalty_range'], label='repetition_penalty_range')
shared.gradio['typical_p'] = gr.Slider(0.0, 1.0, value=generate_params['typical_p'], step=0.01, label='typical_p')
shared.gradio['tfs'] = gr.Slider(0.0, 1.0, value=generate_params['tfs'], step=0.01, label='tfs')
shared.gradio['top_a'] = gr.Slider(0.0, 1.0, value=generate_params['top_a'], step=0.01, label='top_a')
shared.gradio['epsilon_cutoff'] = gr.Slider(0, 9, value=generate_params['epsilon_cutoff'], step=0.01, label='epsilon_cutoff')
shared.gradio['eta_cutoff'] = gr.Slider(0, 20, value=generate_params['eta_cutoff'], step=0.01, label='eta_cutoff')
with gr.Column():
shared.gradio['guidance_scale'] = gr.Slider(-0.5, 2.5, step=0.05, value=generate_params['guidance_scale'], label='guidance_scale', info='For CFG. 1.5 is a good value.')
shared.gradio['negative_prompt'] = gr.Textbox(value=shared.settings['negative_prompt'], label='Negative prompt', lines=3, elem_classes=['add_scrollbar'])
shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], label='penalty_alpha', info='For Contrastive Search. do_sample must be unchecked.')
shared.gradio['mirostat_mode'] = gr.Slider(0, 2, step=1, value=generate_params['mirostat_mode'], label='mirostat_mode', info='mode=1 is for llama.cpp only.')
shared.gradio['mirostat_tau'] = gr.Slider(0, 10, step=0.01, value=generate_params['mirostat_tau'], label='mirostat_tau')
shared.gradio['mirostat_eta'] = gr.Slider(0, 1, step=0.01, value=generate_params['mirostat_eta'], label='mirostat_eta')
shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample')
shared.gradio['seed'] = gr.Number(value=shared.settings['seed'], label='Seed (-1 for random)')
with gr.Accordion('Other parameters', open=False):
shared.gradio['encoder_repetition_penalty'] = gr.Slider(0.8, 1.5, value=generate_params['encoder_repetition_penalty'], step=0.01, label='encoder_repetition_penalty')
shared.gradio['no_repeat_ngram_size'] = gr.Slider(0, 20, step=1, value=generate_params['no_repeat_ngram_size'], label='no_repeat_ngram_size')
shared.gradio['min_length'] = gr.Slider(0, 2000, step=1, value=generate_params['min_length'], label='min_length')
shared.gradio['seed'] = gr.Number(value=shared.settings['seed'], label='Seed (-1 for random)')
shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample')
shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], label='num_beams', info='For Beam Search, along with length_penalty and early_stopping.')
shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], label='length_penalty')
shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], label='early_stopping')
with gr.Accordion("Learn more", open=False):
gr.Markdown("""
@ -94,38 +105,29 @@ def create_ui(default_preset):
""", elem_classes="markdown")
with gr.Column():
with gr.Box():
with gr.Row():
with gr.Column():
shared.gradio['guidance_scale'] = gr.Slider(-0.5, 2.5, step=0.05, value=generate_params['guidance_scale'], label='guidance_scale', info='For CFG. 1.5 is a good value.')
shared.gradio['negative_prompt'] = gr.Textbox(value=shared.settings['negative_prompt'], label='Negative prompt', lines=3, elem_classes=['add_scrollbar'])
shared.gradio['mirostat_mode'] = gr.Slider(0, 2, step=1, value=generate_params['mirostat_mode'], label='mirostat_mode', info='mode=1 is for llama.cpp only.')
shared.gradio['mirostat_tau'] = gr.Slider(0, 10, step=0.01, value=generate_params['mirostat_tau'], label='mirostat_tau')
shared.gradio['mirostat_eta'] = gr.Slider(0, 1, step=0.01, value=generate_params['mirostat_eta'], label='mirostat_eta')
with gr.Column():
shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], label='penalty_alpha', info='For Contrastive Search. do_sample must be unchecked.')
shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], label='num_beams', info='For Beam Search, along with length_penalty and early_stopping.')
shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], label='length_penalty')
shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], label='early_stopping')
with gr.Row() as shared.gradio['grammar_file_row']:
shared.gradio['grammar_file'] = gr.Dropdown(value='None', choices=utils.get_available_grammars(), label='Grammar file (GBNF)', elem_classes='slim-dropdown')
ui.create_refresh_button(shared.gradio['grammar_file'], lambda: None, lambda: {'choices': utils.get_available_grammars()}, 'refresh-button')
with gr.Box():
with gr.Row():
with gr.Column():
shared.gradio['truncation_length'] = gr.Slider(value=get_truncation_length(), minimum=shared.settings['truncation_length_min'], maximum=shared.settings['truncation_length_max'], step=256, label='Truncate the prompt up to this length', info='The leftmost tokens are removed if the prompt exceeds this length. Most models require this to be at most 2048.')
shared.gradio['max_tokens_second'] = gr.Slider(value=shared.settings['max_tokens_second'], minimum=0, maximum=20, step=1, label='Maximum number of tokens/second', info='To make text readable in real time.')
shared.gradio['custom_stopping_strings'] = gr.Textbox(lines=1, value=shared.settings["custom_stopping_strings"] or None, label='Custom stopping strings', info='In addition to the defaults. Written between "" and separated by commas.', placeholder='"\\n", "\\nYou:"')
shared.gradio['custom_token_bans'] = gr.Textbox(value=shared.settings['custom_token_bans'] or None, label='Custom token bans', info='Specific token IDs to ban from generating, comma-separated. The IDs can be found in the Default or Notebook tab.')
with gr.Column():
shared.gradio['auto_max_new_tokens'] = gr.Checkbox(value=shared.settings['auto_max_new_tokens'], label='auto_max_new_tokens', info='Expand max_new_tokens to the available context length.')
shared.gradio['ban_eos_token'] = gr.Checkbox(value=shared.settings['ban_eos_token'], label='Ban the eos_token', info='Forces the model to never end the generation prematurely.')
shared.gradio['custom_token_bans'] = gr.Textbox(value=shared.settings['custom_token_bans'] or None, label='Custom token bans', info='Specific token IDs to ban from generating, comma-separated. The IDs can be found in the Default or Notebook tab.')
shared.gradio['add_bos_token'] = gr.Checkbox(value=shared.settings['add_bos_token'], label='Add the bos_token to the beginning of prompts', info='Disabling this can make the replies more creative.')
shared.gradio['skip_special_tokens'] = gr.Checkbox(value=shared.settings['skip_special_tokens'], label='Skip special tokens', info='Some specific models need this unset.')
shared.gradio['stream'] = gr.Checkbox(value=shared.settings['stream'], label='Activate text streaming')
with gr.Row() as shared.gradio['grammar_file_row']:
shared.gradio['grammar_file'] = gr.Dropdown(value='None', choices=utils.get_available_grammars(), label='Load grammar from file (.gbnf)', elem_classes='slim-dropdown')
ui.create_refresh_button(shared.gradio['grammar_file'], lambda: None, lambda: {'choices': utils.get_available_grammars()}, 'refresh-button')
shared.gradio['save_grammar'] = gr.Button('💾', elem_classes='refresh-button')
shared.gradio['delete_grammar'] = gr.Button('🗑️ ', elem_classes='refresh-button')
shared.gradio['grammar_string'] = gr.Textbox(value='', label='Grammar', lines=16, elem_classes=['add_scrollbar', 'monospace'])
shared.gradio['grammar_file'].change(lambda x: open(Path(f'grammars/{x}'), 'r').read(), gradio('grammar_file'), gradio('grammar_string'))
ui_chat.create_chat_settings_ui()