mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-10-01 01:26:03 -04:00
83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
import gradio as gr
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import os
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# get the current directory of the script
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current_dir = os.path.dirname(os.path.abspath(__file__))
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# check if the bias_options.txt file exists, if not, create it
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bias_file = os.path.join(current_dir, "bias_options.txt")
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if not os.path.isfile(bias_file):
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with open(bias_file, "w") as f:
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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*")
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# read bias options from the text file
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with open(bias_file, "r") as f:
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bias_options = [line.strip() for line in f.readlines()]
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params = {
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"activate": True,
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"bias string": " *I am so happy*",
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"use custom string": False,
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}
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def input_modifier(string):
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"""
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This function is applied to your text inputs before
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they are fed into the model.
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"""
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return string
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def output_modifier(string):
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"""
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This function is applied to the model outputs.
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"""
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return string
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def bot_prefix_modifier(string):
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"""
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This function is only applied in chat mode. It modifies
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the prefix text for the Bot and can be used to bias its
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behavior.
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"""
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if params['activate']:
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if params['use custom string']:
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return f'{string} {params["custom string"].strip()} '
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else:
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return f'{string} {params["bias string"].strip()} '
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else:
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return string
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def ui():
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# Gradio elements
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activate = gr.Checkbox(value=params['activate'], label='Activate character bias')
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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')
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use_custom_string = gr.Checkbox(value=False, label='Use custom bias textbox instead of dropdown')
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custom_string = gr.Textbox(value="", placeholder="Enter custom bias string", label="Custom Character Bias", info='To use this textbox activate the checkbox above')
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# Event functions to update the parameters in the backend
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def update_bias_string(x):
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if x:
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params.update({"bias string": x})
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else:
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params.update({"bias string": dropdown_string.get()})
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return x
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def update_custom_string(x):
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params.update({"custom string": x})
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dropdown_string.change(update_bias_string, dropdown_string, None)
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custom_string.change(update_custom_string, custom_string, None)
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activate.change(lambda x: params.update({"activate": x}), activate, None)
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use_custom_string.change(lambda x: params.update({"use custom string": x}), use_custom_string, None)
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# Group elements together depending on the selected option
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def bias_string_group():
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if use_custom_string.value:
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return gr.Group([use_custom_string, custom_string])
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else:
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return dropdown_string
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