EVOLUTION-NINJA

Edit File: extensions.py

import importlib
import traceback
from functools import partial
from inspect import signature

import gradio as gr

import extensions
import modules.shared as shared
from modules.logging_colors import logger

state = {}
available_extensions = []
setup_called = set()

def apply_settings(extension, name):
    if not hasattr(extension, 'params'):
        return

for param in extension.params:
        _id = f"{name}-{param}"
        shared.default_settings[_id] = extension.params[param]
        if _id in shared.settings:
            extension.params[param] = shared.settings[_id]

def load_extensions():
    global state, setup_called
    state = {}
    for i, name in enumerate(shared.args.extensions):
        if name in available_extensions:
            if name != 'api':
                logger.info(f'Loading the extension "{name}"')
            try:
                try:
                    extension = importlib.import_module(f"extensions.{name}.script")
                except ModuleNotFoundError:
                    logger.error(f"Could not import the requirements for '{name}'. Make sure to install the requirements for the extension.\n\n* To install requirements for all available extensions, launch the\n  update_wizard script for your OS and choose the B option.\n\n* To install the requirements for this extension alone, launch the\n  cmd script for your OS and paste the following command in the\n  terminal window that appears:\n\nLinux / Mac:\n\npip install -r extensions/{name}/requirements.txt --upgrade\n\nWindows:\n\npip install -r extensions\\{name}\\requirements.txt --upgrade\n")
                    raise

# Only run setup() and apply settings from settings.yaml once
                if extension not in setup_called:
                    apply_settings(extension, name)
                    if hasattr(extension, "setup"):
                        extension.setup()

setup_called.add(extension)

state[name] = [True, i]
            except:
                logger.error(f'Failed to load the extension "{name}".')
                traceback.print_exc()

# This iterator returns the extensions in the order specified in the command-line
def iterator():
    for name in sorted(state, key=lambda x: state[x][1]):
        if state[name][0]:
            yield getattr(extensions, name).script, name

# Extension functions that map string -> string
def _apply_string_extensions(function_name, text, state, is_chat=False):
    for extension, _ in iterator():
        if hasattr(extension, function_name):
            func = getattr(extension, function_name)

# Handle old extensions without the 'state' arg or
            # the 'is_chat' kwarg
            count = 0
            has_chat = False
            for k in signature(func).parameters:
                if k == 'is_chat':
                    has_chat = True
                else:
                    count += 1

if count == 2:
                args = [text, state]
            else:
                args = [text]

if has_chat:
                kwargs = {'is_chat': is_chat}
            else:
                kwargs = {}

text = func(*args, **kwargs)

return text

# Extension functions that map string -> string
def _apply_chat_input_extensions(text, visible_text, state):
    for extension, _ in iterator():
        if hasattr(extension, 'chat_input_modifier'):
            text, visible_text = extension.chat_input_modifier(text, visible_text, state)

return text, visible_text

# custom_generate_chat_prompt handling - currently only the first one will work
def _apply_custom_generate_chat_prompt(text, state, **kwargs):
    for extension, _ in iterator():
        if hasattr(extension, 'custom_generate_chat_prompt'):
            return extension.custom_generate_chat_prompt(text, state, **kwargs)

return None

# Extension that modifies the input parameters before they are used
def _apply_state_modifier_extensions(state):
    for extension, _ in iterator():
        if hasattr(extension, "state_modifier"):
            state = getattr(extension, "state_modifier")(state)

return state

# Extension that modifies the chat history before it is used
def _apply_history_modifier_extensions(history):
    for extension, _ in iterator():
        if hasattr(extension, "history_modifier"):
            history = getattr(extension, "history_modifier")(history)

return history

# Extension functions that override the default tokenizer output - The order of execution is not defined
def _apply_tokenizer_extensions(function_name, state, prompt, input_ids, input_embeds):
    for extension, _ in iterator():
        if hasattr(extension, function_name):
            prompt, input_ids, input_embeds = getattr(extension, function_name)(state, prompt, input_ids, input_embeds)

return prompt, input_ids, input_embeds

# Allow extensions to add their own logits processors to the stack being run.
# Each extension would call `processor_list.append({their LogitsProcessor}())`.
def _apply_logits_processor_extensions(function_name, processor_list, input_ids):
    for extension, _ in iterator():
        if hasattr(extension, function_name):
            result = getattr(extension, function_name)(processor_list, input_ids)
            if type(result) is list:
                processor_list = result

return processor_list

# Get prompt length in tokens after applying extension functions which override the default tokenizer output
# currently only the first one will work
def _apply_custom_tokenized_length(prompt):
    for extension, _ in iterator():
        if hasattr(extension, 'custom_tokenized_length'):
            return getattr(extension, 'custom_tokenized_length')(prompt)

return None

# Custom generate reply handling - currently only the first one will work
def _apply_custom_generate_reply():
    for extension, _ in iterator():
        if hasattr(extension, 'custom_generate_reply'):
            return getattr(extension, 'custom_generate_reply')

return None

def _apply_custom_css():
    all_css = ''
    for extension, _ in iterator():
        if hasattr(extension, 'custom_css'):
            all_css += getattr(extension, 'custom_css')()

return all_css

def _apply_custom_js():
    all_js = ''
    for extension, _ in iterator():
        if hasattr(extension, 'custom_js'):
            all_js += getattr(extension, 'custom_js')()

return all_js

def create_extensions_block():
    to_display = []
    for extension, name in iterator():
        if hasattr(extension, "ui") and not (hasattr(extension, 'params') and extension.params.get('is_tab', False)):
            to_display.append((extension, name))

# Creating the extension ui elements
    if len(to_display) > 0:
        with gr.Column(elem_id="extensions"):
            for row in to_display:
                extension, _ = row
                extension.ui()

def create_extensions_tabs():
    for extension, name in iterator():
        if hasattr(extension, "ui") and (hasattr(extension, 'params') and extension.params.get('is_tab', False)):
            display_name = getattr(extension, 'params', {}).get('display_name', name)
            with gr.Tab(display_name, elem_classes="extension-tab"):
                extension.ui()

EXTENSION_MAP = {
    "input": partial(_apply_string_extensions, "input_modifier"),
    "output": partial(_apply_string_extensions, "output_modifier"),
    "chat_input": _apply_chat_input_extensions,
    "state": _apply_state_modifier_extensions,
    "history": _apply_history_modifier_extensions,
    "bot_prefix": partial(_apply_string_extensions, "bot_prefix_modifier"),
    "tokenizer": partial(_apply_tokenizer_extensions, "tokenizer_modifier"),
    'logits_processor': partial(_apply_logits_processor_extensions, 'logits_processor_modifier'),
    "custom_generate_chat_prompt": _apply_custom_generate_chat_prompt,
    "custom_generate_reply": _apply_custom_generate_reply,
    "tokenized_length": _apply_custom_tokenized_length,
    "css": _apply_custom_css,
    "js": _apply_custom_js
}

def apply_extensions(typ, *args, **kwargs):
    if typ not in EXTENSION_MAP:
        raise ValueError(f"Invalid extension type {typ}")

return EXTENSION_MAP[typ](*args, **kwargs)