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Runtime error
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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
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