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| import gc | |
| import io | |
| import json | |
| import re | |
| import sys | |
| import time | |
| import zipfile | |
| from pathlib import Path | |
| import gradio as gr | |
| import torch | |
| import modules.chat as chat | |
| import modules.extensions as extensions_module | |
| import modules.shared as shared | |
| import modules.ui as ui | |
| from modules.html_generator import generate_chat_html | |
| from modules.models import load_model, load_soft_prompt | |
| from modules.text_generation import generate_reply | |
| # Loading custom settings | |
| settings_file = None | |
| if shared.args.settings is not None and Path(shared.args.settings).exists(): | |
| settings_file = Path(shared.args.settings) | |
| elif Path('settings.json').exists(): | |
| settings_file = Path('settings.json') | |
| if settings_file is not None: | |
| print(f"Loading settings from {settings_file}...") | |
| new_settings = json.loads(open(settings_file, 'r').read()) | |
| for item in new_settings: | |
| shared.settings[item] = new_settings[item] | |
| def get_available_models(): | |
| if shared.args.flexgen: | |
| return sorted([re.sub('-np$', '', item.name) for item in list(Path('models/').glob('*')) if item.name.endswith('-np')], key=str.lower) | |
| else: | |
| return sorted([item.name for item in list(Path('models/').glob('*')) if not item.name.endswith(('.txt', '-np', '.pt'))], key=str.lower) | |
| def get_available_presets(): | |
| return sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('presets').glob('*.txt'))), key=str.lower) | |
| def get_available_characters(): | |
| return ['None'] + sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('characters').glob('*.json'))), key=str.lower) | |
| def get_available_extensions(): | |
| return sorted(set(map(lambda x : x.parts[1], Path('extensions').glob('*/script.py'))), key=str.lower) | |
| def get_available_softprompts(): | |
| return ['None'] + sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('softprompts').glob('*.zip'))), key=str.lower) | |
| def load_model_wrapper(selected_model): | |
| if selected_model != shared.model_name: | |
| shared.model_name = selected_model | |
| shared.model = shared.tokenizer = None | |
| if not shared.args.cpu: | |
| gc.collect() | |
| torch.cuda.empty_cache() | |
| shared.model, shared.tokenizer = load_model(shared.model_name) | |
| return selected_model | |
| def load_preset_values(preset_menu, return_dict=False): | |
| generate_params = { | |
| 'do_sample': True, | |
| 'temperature': 1, | |
| 'top_p': 1, | |
| 'typical_p': 1, | |
| 'repetition_penalty': 1, | |
| 'top_k': 50, | |
| 'num_beams': 1, | |
| 'penalty_alpha': 0, | |
| 'min_length': 0, | |
| 'length_penalty': 1, | |
| 'no_repeat_ngram_size': 0, | |
| 'early_stopping': False, | |
| } | |
| with open(Path(f'presets/{preset_menu}.txt'), 'r') as infile: | |
| preset = infile.read() | |
| for i in preset.splitlines(): | |
| i = i.rstrip(',').strip().split('=') | |
| if len(i) == 2 and i[0].strip() != 'tokens': | |
| generate_params[i[0].strip()] = eval(i[1].strip()) | |
| generate_params['temperature'] = min(1.99, generate_params['temperature']) | |
| if return_dict: | |
| return generate_params | |
| else: | |
| return generate_params['do_sample'], generate_params['temperature'], generate_params['top_p'], generate_params['typical_p'], generate_params['repetition_penalty'], generate_params['top_k'], generate_params['min_length'], generate_params['no_repeat_ngram_size'], generate_params['num_beams'], generate_params['penalty_alpha'], generate_params['length_penalty'], generate_params['early_stopping'] | |
| def upload_soft_prompt(file): | |
| with zipfile.ZipFile(io.BytesIO(file)) as zf: | |
| zf.extract('meta.json') | |
| j = json.loads(open('meta.json', 'r').read()) | |
| name = j['name'] | |
| Path('meta.json').unlink() | |
| with open(Path(f'softprompts/{name}.zip'), 'wb') as f: | |
| f.write(file) | |
| return name | |
| def create_settings_menus(default_preset): | |
| generate_params = load_preset_values(default_preset if not shared.args.flexgen else 'Naive', return_dict=True) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['model_menu'] = gr.Dropdown(choices=available_models, value=shared.model_name, label='Model') | |
| ui.create_refresh_button(shared.gradio['model_menu'], lambda : None, lambda : {'choices': get_available_models()}, 'refresh-button') | |
| with gr.Column(): | |
| with gr.Row(): | |
| shared.gradio['preset_menu'] = gr.Dropdown(choices=available_presets, value=default_preset if not shared.args.flexgen else 'Naive', label='Generation parameters preset') | |
| ui.create_refresh_button(shared.gradio['preset_menu'], lambda : None, lambda : {'choices': get_available_presets()}, 'refresh-button') | |
| with gr.Accordion('Custom generation parameters', open=False, elem_id='accordion'): | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['temperature'] = gr.Slider(0.01, 1.99, value=generate_params['temperature'], step=0.01, label='temperature') | |
| shared.gradio['repetition_penalty'] = gr.Slider(1.0, 2.99, value=generate_params['repetition_penalty'],step=0.01,label='repetition_penalty') | |
| shared.gradio['top_k'] = gr.Slider(0,200,value=generate_params['top_k'],step=1,label='top_k') | |
| shared.gradio['top_p'] = gr.Slider(0.0,1.0,value=generate_params['top_p'],step=0.01,label='top_p') | |
| with gr.Column(): | |
| shared.gradio['do_sample'] = gr.Checkbox(value=generate_params['do_sample'], label='do_sample') | |
| shared.gradio['typical_p'] = gr.Slider(0.0,1.0,value=generate_params['typical_p'],step=0.01,label='typical_p') | |
| 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'] if shared.args.no_stream else 0, label='min_length', interactive=shared.args.no_stream) | |
| gr.Markdown('Contrastive search:') | |
| shared.gradio['penalty_alpha'] = gr.Slider(0, 5, value=generate_params['penalty_alpha'], label='penalty_alpha') | |
| gr.Markdown('Beam search (uses a lot of VRAM):') | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['num_beams'] = gr.Slider(1, 20, step=1, value=generate_params['num_beams'], label='num_beams') | |
| with gr.Column(): | |
| 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('Soft prompt', open=False, elem_id='accordion'): | |
| with gr.Row(): | |
| shared.gradio['softprompts_menu'] = gr.Dropdown(choices=available_softprompts, value='None', label='Soft prompt') | |
| ui.create_refresh_button(shared.gradio['softprompts_menu'], lambda : None, lambda : {'choices': get_available_softprompts()}, 'refresh-button') | |
| gr.Markdown('Upload a soft prompt (.zip format):') | |
| with gr.Row(): | |
| shared.gradio['upload_softprompt'] = gr.File(type='binary', file_types=['.zip']) | |
| shared.gradio['model_menu'].change(load_model_wrapper, [shared.gradio['model_menu']], [shared.gradio['model_menu']], show_progress=True) | |
| shared.gradio['preset_menu'].change(load_preset_values, [shared.gradio['preset_menu']], [shared.gradio['do_sample'], shared.gradio['temperature'], shared.gradio['top_p'], shared.gradio['typical_p'], shared.gradio['repetition_penalty'], shared.gradio['top_k'], shared.gradio['min_length'], shared.gradio['no_repeat_ngram_size'], shared.gradio['num_beams'], shared.gradio['penalty_alpha'], shared.gradio['length_penalty'], shared.gradio['early_stopping']]) | |
| shared.gradio['softprompts_menu'].change(load_soft_prompt, [shared.gradio['softprompts_menu']], [shared.gradio['softprompts_menu']], show_progress=True) | |
| shared.gradio['upload_softprompt'].upload(upload_soft_prompt, [shared.gradio['upload_softprompt']], [shared.gradio['softprompts_menu']]) | |
| available_models = get_available_models() | |
| available_presets = get_available_presets() | |
| available_characters = get_available_characters() | |
| available_softprompts = get_available_softprompts() | |
| # Default extensions | |
| extensions_module.available_extensions = get_available_extensions() | |
| if shared.args.chat or shared.args.cai_chat: | |
| for extension in shared.settings['chat_default_extensions']: | |
| shared.args.extensions = shared.args.extensions or [] | |
| if extension not in shared.args.extensions: | |
| shared.args.extensions.append(extension) | |
| else: | |
| for extension in shared.settings['default_extensions']: | |
| shared.args.extensions = shared.args.extensions or [] | |
| if extension not in shared.args.extensions: | |
| shared.args.extensions.append(extension) | |
| if shared.args.extensions is not None and len(shared.args.extensions) > 0: | |
| extensions_module.load_extensions() | |
| # Default model | |
| if shared.args.model is not None: | |
| shared.model_name = shared.args.model | |
| else: | |
| if len(available_models) == 0: | |
| print('No models are available! Please download at least one.') | |
| sys.exit(0) | |
| elif len(available_models) == 1: | |
| i = 0 | |
| else: | |
| print('The following models are available:\n') | |
| for i, model in enumerate(available_models): | |
| print(f'{i+1}. {model}') | |
| print(f'\nWhich one do you want to load? 1-{len(available_models)}\n') | |
| i = int(input())-1 | |
| print() | |
| shared.model_name = available_models[i] | |
| shared.model, shared.tokenizer = load_model(shared.model_name) | |
| # Default UI settings | |
| gen_events = [] | |
| default_preset = shared.settings['presets'][next((k for k in shared.settings['presets'] if re.match(k.lower(), shared.model_name.lower())), 'default')] | |
| default_text = shared.settings['prompts'][next((k for k in shared.settings['prompts'] if re.match(k.lower(), shared.model_name.lower())), 'default')] | |
| title ='Text generation web UI' | |
| description = '\n\n# Text generation lab\nGenerate text using Large Language Models.\n' | |
| suffix = '_pygmalion' if 'pygmalion' in shared.model_name.lower() else '' | |
| if shared.args.chat or shared.args.cai_chat: | |
| with gr.Blocks(css=ui.css+ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']: | |
| gr.HTML('''<a href="https://github.com/oobabooga/text-generation-webui">Original github repo</a><br> | |
| <p>For faster inference without waiting in queue, you may duplicate the space. <a href="https://huggingface.co/spaces/antonovmaxim/text-generation-webui-space?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p> | |
| (👇 Scroll down to see the interface 👀)''') | |
| if shared.args.cai_chat: | |
| shared.gradio['display'] = gr.HTML(value=generate_chat_html(shared.history['visible'], shared.settings[f'name1{suffix}'], shared.settings[f'name2{suffix}'], shared.character)) | |
| else: | |
| shared.gradio['display'] = gr.Chatbot(value=shared.history['visible']).style(color_map=("#326efd", "#212528")) | |
| shared.gradio['textbox'] = gr.Textbox(label='Input') | |
| with gr.Row(): | |
| shared.gradio['Stop'] = gr.Button('Stop') | |
| shared.gradio['Generate'] = gr.Button('Generate') | |
| with gr.Row(): | |
| shared.gradio['Impersonate'] = gr.Button('Impersonate') | |
| shared.gradio['Regenerate'] = gr.Button('Regenerate') | |
| with gr.Row(): | |
| shared.gradio['Copy last reply'] = gr.Button('Copy last reply') | |
| shared.gradio['Replace last reply'] = gr.Button('Replace last reply') | |
| shared.gradio['Remove last'] = gr.Button('Remove last') | |
| shared.gradio['Clear history'] = gr.Button('Clear history') | |
| shared.gradio['Clear history-confirm'] = gr.Button('Confirm', variant="stop", visible=False) | |
| shared.gradio['Clear history-cancel'] = gr.Button('Cancel', visible=False) | |
| with gr.Tab('Chat settings'): | |
| shared.gradio['name1'] = gr.Textbox(value=shared.settings[f'name1{suffix}'], lines=1, label='Your name') | |
| shared.gradio['name2'] = gr.Textbox(value=shared.settings[f'name2{suffix}'], lines=1, label='Bot\'s name') | |
| shared.gradio['context'] = gr.Textbox(value=shared.settings[f'context{suffix}'], lines=5, label='Context') | |
| with gr.Row(): | |
| shared.gradio['character_menu'] = gr.Dropdown(choices=available_characters, value='None', label='Character', elem_id='character-menu') | |
| ui.create_refresh_button(shared.gradio['character_menu'], lambda : None, lambda : {'choices': get_available_characters()}, 'refresh-button') | |
| with gr.Row(): | |
| shared.gradio['check'] = gr.Checkbox(value=shared.settings[f'stop_at_newline{suffix}'], label='Stop generating at new line character?') | |
| with gr.Row(): | |
| with gr.Tab('Chat history'): | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown('Upload') | |
| shared.gradio['upload_chat_history'] = gr.File(type='binary', file_types=['.json', '.txt']) | |
| with gr.Column(): | |
| gr.Markdown('Download') | |
| shared.gradio['download'] = gr.File() | |
| shared.gradio['download_button'] = gr.Button(value='Click me') | |
| with gr.Tab('Upload character'): | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown('1. Select the JSON file') | |
| shared.gradio['upload_json'] = gr.File(type='binary', file_types=['.json']) | |
| with gr.Column(): | |
| gr.Markdown('2. Select your character\'s profile picture (optional)') | |
| shared.gradio['upload_img_bot'] = gr.File(type='binary', file_types=['image']) | |
| shared.gradio['Upload character'] = gr.Button(value='Submit') | |
| with gr.Tab('Upload your profile picture'): | |
| shared.gradio['upload_img_me'] = gr.File(type='binary', file_types=['image']) | |
| with gr.Tab('Upload TavernAI Character Card'): | |
| shared.gradio['upload_img_tavern'] = gr.File(type='binary', file_types=['image']) | |
| with gr.Tab('Generation settings'): | |
| 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']) | |
| with gr.Column(): | |
| shared.gradio['chat_prompt_size_slider'] = gr.Slider(minimum=shared.settings['chat_prompt_size_min'], maximum=shared.settings['chat_prompt_size_max'], step=1, label='Maximum prompt size in tokens', value=shared.settings['chat_prompt_size']) | |
| shared.gradio['chat_generation_attempts'] = gr.Slider(minimum=shared.settings['chat_generation_attempts_min'], maximum=shared.settings['chat_generation_attempts_max'], value=shared.settings['chat_generation_attempts'], step=1, label='Generation attempts (for longer replies)') | |
| create_settings_menus(default_preset) | |
| shared.input_params = [shared.gradio[k] for k in ['textbox', '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_slider', 'chat_generation_attempts']] | |
| if shared.args.extensions is not None: | |
| with gr.Tab('Extensions'): | |
| extensions_module.create_extensions_block() | |
| function_call = 'chat.cai_chatbot_wrapper' if shared.args.cai_chat else 'chat.chatbot_wrapper' | |
| gen_events.append(shared.gradio['Generate'].click(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream, api_name='textgen')) | |
| gen_events.append(shared.gradio['textbox'].submit(eval(function_call), shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)) | |
| gen_events.append(shared.gradio['Regenerate'].click(chat.regenerate_wrapper, shared.input_params, shared.gradio['display'], show_progress=shared.args.no_stream)) | |
| gen_events.append(shared.gradio['Impersonate'].click(chat.impersonate_wrapper, shared.input_params, shared.gradio['textbox'], show_progress=shared.args.no_stream)) | |
| shared.gradio['Stop'].click(chat.stop_everything_event, [], [], cancels=gen_events) | |
| shared.gradio['Copy last reply'].click(chat.send_last_reply_to_input, [], shared.gradio['textbox'], show_progress=shared.args.no_stream) | |
| shared.gradio['Replace last reply'].click(chat.replace_last_reply, [shared.gradio['textbox'], shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'], show_progress=shared.args.no_stream) | |
| # Clear history with confirmation | |
| clear_arr = [shared.gradio[k] for k in ['Clear history-confirm', 'Clear history', 'Clear history-cancel']] | |
| shared.gradio['Clear history'].click(lambda :[gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)], None, clear_arr) | |
| shared.gradio['Clear history-confirm'].click(lambda :[gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr) | |
| shared.gradio['Clear history-confirm'].click(chat.clear_chat_log, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display']) | |
| shared.gradio['Clear history-cancel'].click(lambda :[gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, clear_arr) | |
| shared.gradio['Remove last'].click(chat.remove_last_message, [shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['display'], shared.gradio['textbox']], show_progress=False) | |
| shared.gradio['download_button'].click(chat.save_history, inputs=[], outputs=[shared.gradio['download']]) | |
| shared.gradio['Upload character'].click(chat.upload_character, [shared.gradio['upload_json'], shared.gradio['upload_img_bot']], [shared.gradio['character_menu']]) | |
| # Clearing stuff and saving the history | |
| for i in ['Generate', 'Regenerate', 'Replace last reply']: | |
| shared.gradio[i].click(lambda x: '', shared.gradio['textbox'], shared.gradio['textbox'], show_progress=False) | |
| shared.gradio[i].click(lambda : chat.save_history(timestamp=False), [], [], show_progress=False) | |
| shared.gradio['Clear history-confirm'].click(lambda : chat.save_history(timestamp=False), [], [], show_progress=False) | |
| shared.gradio['textbox'].submit(lambda x: '', shared.gradio['textbox'], shared.gradio['textbox'], show_progress=False) | |
| shared.gradio['textbox'].submit(lambda : chat.save_history(timestamp=False), [], [], show_progress=False) | |
| shared.gradio['character_menu'].change(chat.load_character, [shared.gradio['character_menu'], shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['name2'], shared.gradio['context'], shared.gradio['display']]) | |
| shared.gradio['upload_chat_history'].upload(chat.load_history, [shared.gradio['upload_chat_history'], shared.gradio['name1'], shared.gradio['name2']], []) | |
| shared.gradio['upload_img_tavern'].upload(chat.upload_tavern_character, [shared.gradio['upload_img_tavern'], shared.gradio['name1'], shared.gradio['name2']], [shared.gradio['character_menu']]) | |
| shared.gradio['upload_img_me'].upload(chat.upload_your_profile_picture, [shared.gradio['upload_img_me']], []) | |
| reload_func = chat.redraw_html if shared.args.cai_chat else lambda : shared.history['visible'] | |
| reload_inputs = [shared.gradio['name1'], shared.gradio['name2']] if shared.args.cai_chat else [] | |
| shared.gradio['upload_chat_history'].upload(reload_func, reload_inputs, [shared.gradio['display']]) | |
| shared.gradio['upload_img_me'].upload(reload_func, reload_inputs, [shared.gradio['display']]) | |
| shared.gradio['Stop'].click(reload_func, reload_inputs, [shared.gradio['display']]) | |
| shared.gradio['interface'].load(lambda : chat.load_default_history(shared.settings[f'name1{suffix}'], shared.settings[f'name2{suffix}']), None, None) | |
| shared.gradio['interface'].load(reload_func, reload_inputs, [shared.gradio['display']], show_progress=True) | |
| elif shared.args.notebook: | |
| with gr.Blocks(css=ui.css, analytics_enabled=False, title=title) as shared.gradio['interface']: | |
| gr.Markdown(description) | |
| with gr.Tab('Raw'): | |
| shared.gradio['textbox'] = gr.Textbox(value=default_text, lines=23) | |
| with gr.Tab('Markdown'): | |
| shared.gradio['markdown'] = gr.Markdown() | |
| with gr.Tab('HTML'): | |
| shared.gradio['html'] = gr.HTML() | |
| shared.gradio['Generate'] = gr.Button('Generate') | |
| shared.gradio['Stop'] = gr.Button('Stop') | |
| 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']) | |
| create_settings_menus(default_preset) | |
| if shared.args.extensions is not None: | |
| extensions_module.create_extensions_block() | |
| shared.input_params = [shared.gradio[k] for k in ['textbox', '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']] | |
| output_params = [shared.gradio[k] for k in ['textbox', 'markdown', 'html']] | |
| gen_events.append(shared.gradio['Generate'].click(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream, api_name='textgen')) | |
| gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)) | |
| shared.gradio['Stop'].click(None, None, None, cancels=gen_events) | |
| else: | |
| with gr.Blocks(css=ui.css, analytics_enabled=False, title=title) as shared.gradio['interface']: | |
| gr.Markdown(description) | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['textbox'] = gr.Textbox(value=default_text, lines=15, label='Input') | |
| 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['Generate'] = gr.Button('Generate') | |
| with gr.Row(): | |
| with gr.Column(): | |
| shared.gradio['Continue'] = gr.Button('Continue') | |
| with gr.Column(): | |
| shared.gradio['Stop'] = gr.Button('Stop') | |
| create_settings_menus(default_preset) | |
| if shared.args.extensions is not None: | |
| extensions_module.create_extensions_block() | |
| with gr.Column(): | |
| with gr.Tab('Raw'): | |
| shared.gradio['output_textbox'] = gr.Textbox(lines=15, label='Output') | |
| with gr.Tab('Markdown'): | |
| shared.gradio['markdown'] = gr.Markdown() | |
| with gr.Tab('HTML'): | |
| shared.gradio['html'] = gr.HTML() | |
| shared.input_params = [shared.gradio[k] for k in ['textbox', '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']] | |
| output_params = [shared.gradio[k] for k in ['output_textbox', 'markdown', 'html']] | |
| gen_events.append(shared.gradio['Generate'].click(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream, api_name='textgen')) | |
| gen_events.append(shared.gradio['textbox'].submit(generate_reply, shared.input_params, output_params, show_progress=shared.args.no_stream)) | |
| gen_events.append(shared.gradio['Continue'].click(generate_reply, [shared.gradio['output_textbox']] + shared.input_params[1:], output_params, show_progress=shared.args.no_stream)) | |
| shared.gradio['Stop'].click(None, None, None, cancels=gen_events) | |
| shared.gradio['interface'].queue() | |
| if shared.args.listen: | |
| shared.gradio['interface'].launch(prevent_thread_lock=True, share=shared.args.share, server_name='0.0.0.0', server_port=shared.args.listen_port, inbrowser=shared.args.auto_launch) | |
| else: | |
| shared.gradio['interface'].launch(prevent_thread_lock=True, share=shared.args.share, server_port=shared.args.listen_port, inbrowser=shared.args.auto_launch) | |
| # I think that I will need this later | |
| while True: | |
| time.sleep(0.5) | |