mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-01 01:26:03 -04:00
355 lines
22 KiB
Python
355 lines
22 KiB
Python
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
|
|
|
|
if (shared.args.chat or shared.args.cai_chat) and not shared.args.no_stream:
|
|
print('Warning: chat mode currently becomes somewhat slower with text streaming on.\nConsider starting the web UI with the --no-stream option.\n')
|
|
|
|
# Loading custom settings
|
|
if shared.args.settings is not None and Path(shared.args.settings).exists():
|
|
new_settings = json.loads(open(Path(shared.args.settings), 'r').read())
|
|
for item in new_settings:
|
|
shared.settings[item] = new_settings[item]
|
|
|
|
def get_available_models():
|
|
return sorted([item.name for item in list(Path('models/').glob('*')) if not item.name.endswith(('.txt', '-np'))], 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():
|
|
generate_params = load_preset_values(shared.settings[f'preset{suffix}'] 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=shared.settings[f'preset{suffix}'] 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(1.0,4.99,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()
|
|
|
|
extensions_module.available_extensions = get_available_extensions()
|
|
if shared.args.extensions is not None:
|
|
extensions_module.load_extensions()
|
|
|
|
# Choosing the 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)
|
|
|
|
# UI settings
|
|
gen_events = []
|
|
suffix = '_pygmalion' if 'pygmalion' in shared.model_name.lower() else ''
|
|
description = '\n\n# Text generation lab\nGenerate text using Large Language Models.\n'
|
|
if shared.model_name.lower().startswith(('gpt4chan', 'gpt-4chan', '4chan')):
|
|
default_text = shared.settings['prompt_gpt4chan']
|
|
elif re.match('(rosey|chip|joi)_.*_instruct.*', shared.model_name.lower()) is not None:
|
|
default_text = 'User: \n'
|
|
else:
|
|
default_text = shared.settings['prompt']
|
|
|
|
if shared.args.chat or shared.args.cai_chat:
|
|
with gr.Blocks(css=ui.css+ui.chat_css, analytics_enabled=False) as shared.gradio['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')
|
|
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=2, label='Context')
|
|
with gr.Row():
|
|
shared.gradio['character_menu'] = gr.Dropdown(choices=available_characters, value='None', label='Character')
|
|
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 responses)')
|
|
create_settings_menus()
|
|
|
|
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)
|
|
shared.gradio['Clear history'].click(chat.clear_chat_log, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'])
|
|
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'].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['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) 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()
|
|
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) 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()
|
|
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)
|
|
else:
|
|
shared.gradio['interface'].launch(prevent_thread_lock=True, share=shared.args.share, server_port=shared.args.listen_port)
|
|
|
|
# I think that I will need this later
|
|
while True:
|
|
time.sleep(0.5)
|