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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*",
"use custom string": False,
}
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['use custom string']:
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')
use_custom_string = gr.Checkbox(value=False, label='Use custom bias textbox instead of dropdown')
custom_string = gr.Textbox(value="", placeholder="Enter custom bias string", label="Custom Character Bias", info='To use this textbox activate the checkbox 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)
use_custom_string.change(lambda x: params.update({"use custom string": x}), use_custom_string, None)
# Group elements together depending on the selected option
def bias_string_group():
if use_custom_string.value:
return gr.Group([use_custom_string, custom_string])
else:
return dropdown_string
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