ipex-llm/python/llm/example/Text-Generation-WebUI/extensions/character_bias/script.py
SONG Ge 421e7cee80 [LLM] Add Text_Generation_WebUI Support (#9884)
* initially add text_generation_webui support

* add env requirements install

* add necessary dependencies

* update for starting webui

* update shared and noted to place models

* update heading of part3

* meet comments

* add copyright license

* remove extensions

* convert tutorial to windows side

* add warm-up to optimize performance
2024-01-26 15:12:49 +08:00

93 lines
3.1 KiB
Python

#
# Copyright 2016 The BigDL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file is adapted from
# https://github.com/oobabooga/text-generation-webui/blob/main/extensions/character_bias/script.py
import os
import gradio as gr
# get the current directory of the script
current_dir = os.path.dirname(os.path.abspath(__file__))
# check if the bias_options.txt file exists, if not, create it
bias_file = os.path.join(current_dir, "bias_options.txt")
if not os.path.isfile(bias_file):
with open(bias_file, "w") as f:
f.write("*I am so happy*\n*I am so sad*\n*I am so excited*\n*I am so bored*\n*I am so angry*")
# read bias options from the text file
with open(bias_file, "r") as f:
bias_options = [line.strip() for line in f.readlines()]
params = {
"activate": True,
"bias string": " *I am so happy*",
"custom string": "",
}
def input_modifier(string):
"""
This function is applied to your text inputs before
they are fed into the model.
"""
return string
def output_modifier(string):
"""
This function is applied to the model outputs.
"""
return string
def bot_prefix_modifier(string):
"""
This function is only applied in chat mode. It modifies
the prefix text for the Bot and can be used to bias its
behavior.
"""
if params['activate']:
if params['custom string'].strip() != '':
return f'{string} {params["custom string"].strip()} '
else:
return f'{string} {params["bias string"].strip()} '
else:
return string
def ui():
# Gradio elements
activate = gr.Checkbox(value=params['activate'], label='Activate character bias')
dropdown_string = gr.Dropdown(choices=bias_options, value=params["bias string"], label='Character bias', info='To edit the options in this dropdown edit the "bias_options.txt" file')
custom_string = gr.Textbox(value=params['custom string'], placeholder="Enter custom bias string", label="Custom Character Bias", info='If not empty, will be used instead of the value above')
# Event functions to update the parameters in the backend
def update_bias_string(x):
if x:
params.update({"bias string": x})
else:
params.update({"bias string": dropdown_string.get()})
return x
def update_custom_string(x):
params.update({"custom string": x})
dropdown_string.change(update_bias_string, dropdown_string, None)
custom_string.change(update_custom_string, custom_string, None)
activate.change(lambda x: params.update({"activate": x}), activate, None)