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from __future__ import annotations |
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import inspect |
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import gradio as gr |
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from gradio.components.chatbot import ChatbotData, FileMessage |
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from gradio.data_classes import FileData |
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from gradio_client import utils as client_utils |
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from modules.utils import convert_bot_before_marked, convert_user_before_marked |
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def postprocess( |
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self, |
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value: list[list[str | tuple[str] | tuple[str, str] | None] | tuple] | None, |
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) -> ChatbotData: |
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""" |
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Parameters: |
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value: expects a `list[list[str | None | tuple]]`, i.e. a list of lists. The inner list should have 2 elements: the user message and the response message. The individual messages can be (1) strings in valid Markdown, (2) tuples if sending files: (a filepath or URL to a file, [optional string alt text]) -- if the file is image/video/audio, it is displayed in the Chatbot, or (3) None, in which case the message is not displayed. |
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Returns: |
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an object of type ChatbotData |
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""" |
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if value is None: |
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return ChatbotData(root=[]) |
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processed_messages = [] |
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for message_pair in value: |
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if not isinstance(message_pair, (tuple, list)): |
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raise TypeError( |
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f"Expected a list of lists or list of tuples. Received: {message_pair}" |
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) |
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if len(message_pair) != 2: |
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raise TypeError( |
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f"Expected a list of lists of length 2 or list of tuples of length 2. Received: {message_pair}" |
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) |
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processed_messages.append( |
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[ |
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self._postprocess_chat_messages(message_pair[0], "user"), |
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self._postprocess_chat_messages(message_pair[1], "bot"), |
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] |
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) |
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return ChatbotData(root=processed_messages) |
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def postprocess_chat_messages( |
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self, chat_message: str | tuple | list | None, role: str |
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) -> str | FileMessage | None: |
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if chat_message is None: |
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return None |
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elif isinstance(chat_message, (tuple, list)): |
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filepath = str(chat_message[0]) |
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mime_type = client_utils.get_mimetype(filepath) |
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return FileMessage( |
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file=FileData(path=filepath, mime_type=mime_type), |
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alt_text=chat_message[1] if len(chat_message) > 1 else None, |
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) |
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elif isinstance(chat_message, str): |
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if role == "bot": |
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chat_message = convert_bot_before_marked(chat_message) |
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elif role == "user": |
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chat_message = convert_user_before_marked(chat_message) |
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return chat_message |
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else: |
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raise ValueError(f"Invalid message for Chatbot component: {chat_message}") |
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def init_with_class_name_as_elem_classes(original_func): |
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def wrapper(self, *args, **kwargs): |
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if "elem_classes" in kwargs and isinstance(kwargs["elem_classes"], str): |
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kwargs["elem_classes"] = [kwargs["elem_classes"]] |
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else: |
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kwargs["elem_classes"] = [] |
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kwargs["elem_classes"].append("gradio-" + self.__class__.__name__.lower()) |
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if kwargs.get("multiselect", False): |
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kwargs["elem_classes"].append("multiselect") |
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res = original_func(self, *args, **kwargs) |
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return res |
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return wrapper |
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def patch_gradio(): |
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gr.components.Component.__init__ = init_with_class_name_as_elem_classes( |
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gr.components.Component.__init__ |
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) |
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gr.blocks.BlockContext.__init__ = init_with_class_name_as_elem_classes( |
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gr.blocks.BlockContext.__init__ |
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) |
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gr.Chatbot._postprocess_chat_messages = postprocess_chat_messages |
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gr.Chatbot.postprocess = postprocess |
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