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| from __future__ import annotations | |
| import logging | |
| from typing import List, Tuple | |
| from gradio_client import utils as client_utils | |
| from gradio import utils | |
| import inspect | |
| from modules.presets import * | |
| from modules.index_func import * | |
| def postprocess( | |
| self, | |
| y: List[List[str | Tuple[str] | Tuple[str, str] | None] | Tuple], | |
| ) -> List[List[str | Dict | None]]: | |
| """ | |
| Parameters: | |
| y: List of lists representing the message and response pairs. Each message and response should be a string, which may be in Markdown format. It can also be a tuple whose first element is a string filepath or URL to an image/video/audio, and second (optional) element is the alt text, in which case the media file is displayed. It can also be None, in which case that message is not displayed. | |
| Returns: | |
| List of lists representing the message and response. Each message and response will be a string of HTML, or a dictionary with media information. Or None if the message is not to be displayed. | |
| """ | |
| if y is None: | |
| return [] | |
| processed_messages = [] | |
| for message_pair in y: | |
| assert isinstance( | |
| message_pair, (tuple, list) | |
| ), f"Expected a list of lists or list of tuples. Received: {message_pair}" | |
| assert ( | |
| len(message_pair) == 2 | |
| ), f"Expected a list of lists of length 2 or list of tuples of length 2. Received: {message_pair}" | |
| processed_messages.append( | |
| [ | |
| self._postprocess_chat_messages(message_pair[0], "user"), | |
| self._postprocess_chat_messages(message_pair[1], "bot"), | |
| ] | |
| ) | |
| return processed_messages | |
| def postprocess_chat_messages( | |
| self, chat_message: str | tuple | list | None, role: str | |
| ) -> str | dict | None: | |
| if chat_message is None: | |
| return None | |
| else: | |
| if isinstance(chat_message, (tuple, list)): | |
| if len(chat_message) > 0 and "text" in chat_message[0]: | |
| chat_message = chat_message[0]["text"] | |
| else: | |
| file_uri = chat_message[0] | |
| if utils.validate_url(file_uri): | |
| filepath = file_uri | |
| else: | |
| filepath = self.make_temp_copy_if_needed(file_uri) | |
| mime_type = client_utils.get_mimetype(filepath) | |
| return { | |
| "name": filepath, | |
| "mime_type": mime_type, | |
| "alt_text": chat_message[1] if len(chat_message) > 1 else None, | |
| "data": None, # These last two fields are filled in by the frontend | |
| "is_file": True, | |
| } | |
| if isinstance(chat_message, str): | |
| # chat_message = inspect.cleandoc(chat_message) | |
| # escape html spaces | |
| # chat_message = chat_message.replace(" ", " ") | |
| if role == "bot": | |
| chat_message = convert_bot_before_marked(chat_message) | |
| elif role == "user": | |
| chat_message = convert_user_before_marked(chat_message) | |
| return chat_message | |
| else: | |
| raise ValueError(f"Invalid message for Chatbot component: {chat_message}") | |
| def add_classes_to_gradio_component(comp): | |
| """ | |
| this adds gradio-* to the component for css styling (ie gradio-button to gr.Button), as well as some others | |
| code from stable-diffusion-webui <AUTOMATIC1111/stable-diffusion-webui> | |
| """ | |
| comp.elem_classes = [f"gradio-{comp.get_block_name()}", *(comp.elem_classes or [])] | |
| if getattr(comp, 'multiselect', False): | |
| comp.elem_classes.append('multiselect') | |
| def IOComponent_init(self, *args, **kwargs): | |
| res = original_IOComponent_init(self, *args, **kwargs) | |
| add_classes_to_gradio_component(self) | |
| return res | |
| original_IOComponent_init = gr.components.IOComponent.__init__ | |
| gr.components.IOComponent.__init__ = IOComponent_init | |
| def BlockContext_init(self, *args, **kwargs): | |
| res = original_BlockContext_init(self, *args, **kwargs) | |
| add_classes_to_gradio_component(self) | |
| return res | |
| original_BlockContext_init = gr.blocks.BlockContext.__init__ | |
| gr.blocks.BlockContext.__init__ = BlockContext_init | |