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Add prompt loading/saving menus + reorganize interface

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oobabooga 2023-03-27 12:16:37 -03:00
parent 3dc61284d5
commit 57345b8f30
4 changed files with 63 additions and 15 deletions
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6
prompts/Alpaca.txt Normal file
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@ -0,0 +1,6 @@
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
Write a poem about the transformers Python library.
Mention the word "large language models" in that poem.
### Response:

1
prompts/Open Assistant.txt Normal file
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@ -0,0 +1 @@
<|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>

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prompts/QA.txt Normal file
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@ -0,0 +1,4 @@
Common sense questions and answers
Question:
Factual answer:

67
server.py
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@ -4,6 +4,7 @@ import re
import sys
import time
import zipfile
from datetime import datetime
from pathlib import Path
import gradio as gr
@ -38,6 +39,13 @@ def get_available_models():
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_prompts():
prompts = []
prompts += sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('prompts').glob('[0-9]*.txt'))), key=str.lower, reverse=True)
prompts += sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('prompts').glob('*.txt'))), key=str.lower)
prompts += ['None']
return prompts
def get_available_characters():
return ['None'] + sorted(set(map(lambda x : '.'.join(str(x.name).split('.')[:-1]), Path('characters').glob('*.json'))), key=str.lower)
@ -98,7 +106,7 @@ def load_preset_values(preset_menu, return_dict=False):
if return_dict:
return generate_params
else:
return preset_menu, generate_params['do_sample'], generate_params['temperature'], generate_params['top_p'], generate_params['typical_p'], generate_params['repetition_penalty'], generate_params['encoder_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']
return generate_params['do_sample'], generate_params['temperature'], generate_params['top_p'], generate_params['typical_p'], generate_params['repetition_penalty'], generate_params['encoder_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:
@ -123,9 +131,43 @@ def create_model_and_preset_menus():
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')
def save_prompt(text):
fname = f"{datetime.now().strftime('%Y-%m-%d-%H:%M:%S')}.txt"
with open(Path(f'prompts/{fname}'), 'w', encoding='utf-8') as f:
f.write(text)
return f"Saved prompt to prompts/{fname}"
def load_prompt(fname):
if fname in ['None', '']:
return ''
else:
with open(Path(f'prompts/{fname}.txt'), 'r', encoding='utf-8') as f:
return f.read()
def create_prompt_menus():
with gr.Row():
with gr.Column():
with gr.Row():
shared.gradio['prompt_menu'] = gr.Dropdown(choices=get_available_prompts(), value='None', label='Prompt')
ui.create_refresh_button(shared.gradio['prompt_menu'], lambda : None, lambda : {'choices': get_available_prompts()}, 'refresh-button')
with gr.Column():
with gr.Column():
shared.gradio['save_prompt'] = gr.Button('Save prompt')
shared.gradio['status'] = gr.Markdown('Ready')
shared.gradio['prompt_menu'].change(load_prompt, [shared.gradio['prompt_menu']], [shared.gradio['textbox']], show_progress=True)
shared.gradio['save_prompt'].click(save_prompt, [shared.gradio['textbox']], [shared.gradio['status']], show_progress=False)
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():
create_model_and_preset_menus()
with gr.Column():
shared.gradio['seed'] = gr.Number(value=-1, label='Seed (-1 for random)')
with gr.Row():
with gr.Column():
with gr.Box():
@ -156,12 +198,6 @@ def create_settings_menus(default_preset):
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')
shared.gradio['seed'] = gr.Number(value=-1, label='Seed (-1 for random)')
with gr.Row():
shared.gradio['preset_menu_mirror'] = 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_mirror'], lambda : None, lambda : {'choices': get_available_presets()}, 'refresh-button')
with gr.Row():
shared.gradio['lora_menu'] = gr.Dropdown(choices=available_loras, value=shared.lora_name, label='LoRA')
ui.create_refresh_button(shared.gradio['lora_menu'], lambda : None, lambda : {'choices': get_available_loras()}, 'refresh-button')
@ -176,8 +212,7 @@ def create_settings_menus(default_preset):
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[k] for k in ['preset_menu_mirror', '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']])
shared.gradio['preset_menu_mirror'].change(load_preset_values, [shared.gradio['preset_menu_mirror']], [shared.gradio[k] for k in ['preset_menu', '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']])
shared.gradio['preset_menu'].change(load_preset_values, [shared.gradio['preset_menu']], [shared.gradio[k] for k in ['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']])
shared.gradio['lora_menu'].change(load_lora_wrapper, [shared.gradio['lora_menu']], [shared.gradio['lora_menu'], shared.gradio['textbox']], show_progress=True)
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']])
@ -265,8 +300,8 @@ def create_interface():
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', elem_id="stop")
shared.gradio['Generate'] = gr.Button('Generate')
shared.gradio['Stop'] = gr.Button('Stop', elem_id="stop")
with gr.Row():
shared.gradio['Impersonate'] = gr.Button('Impersonate')
shared.gradio['Regenerate'] = gr.Button('Regenerate')
@ -279,8 +314,6 @@ def create_interface():
shared.gradio['Clear history-confirm'] = gr.Button('Confirm', variant="stop", visible=False)
shared.gradio['Clear history-cancel'] = gr.Button('Cancel', visible=False)
create_model_and_preset_menus()
with gr.Tab("Character", elem_id="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')
@ -384,12 +417,15 @@ def create_interface():
shared.gradio['html'] = gr.HTML()
with gr.Row():
shared.gradio['Stop'] = gr.Button('Stop')
shared.gradio['Generate'] = gr.Button('Generate')
shared.gradio['Stop'] = gr.Button('Stop')
with gr.Column(scale=1):
gr.Markdown("\n")
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_model_and_preset_menus()
create_prompt_menus()
with gr.Tab("Parameters", elem_id="parameters"):
create_settings_menus(default_preset)
@ -413,7 +449,7 @@ def create_interface():
with gr.Column():
shared.gradio['Stop'] = gr.Button('Stop')
create_model_and_preset_menus()
create_prompt_menus()
with gr.Column():
with gr.Tab('Raw'):
@ -422,6 +458,7 @@ def create_interface():
shared.gradio['markdown'] = gr.Markdown()
with gr.Tab('HTML'):
shared.gradio['html'] = gr.HTML()
with gr.Tab("Parameters", elem_id="parameters"):
create_settings_menus(default_preset)