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@ -482,4 +482,831 @@ if __name__ == "__main__":
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print(o)
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time.sleep(10) # see if timer has reset
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time.sleep(10) # see if timer has reset
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###################=> EDITOR/VERIFY
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from pathlib import Path
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def verify(func):
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def wrapper(*args, **kwargs):
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try:
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filepath = args[0].filepath
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except AttributeError:
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raise Exception("This tool doesn't have filepath. Please check your code.")
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if not str(Path(filepath).resolve()).startswith(str(Path().resolve())):
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return "You can't access file outside of playground."
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return func(*args, **kwargs)
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return wrapper
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#=====================> EDITOR/END VERIFY
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###### EDITOR/WRITE.PY
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"""
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write protocol:
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<filepath>
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<content>
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"""
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import os
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class WriteCommand:
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separator = "\n"
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def __init__(self, filepath: str, content: int):
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self.filepath: str = filepath
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self.content: str = content
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self.mode: str = "w"
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def with_mode(self, mode: str) -> "WriteCommand":
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self.mode = mode
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return self
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@verify
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def execute(self) -> str:
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dir_path = os.path.dirname(self.filepath)
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if dir_path:
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os.makedirs(dir_path, exist_ok=True)
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with open(self.filepath, self.mode) as f:
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f.write(self.content)
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return self.content
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@staticmethod
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def from_str(command: str) -> "WriteCommand":
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filepath = command.split(WriteCommand.separator)[0]
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return WriteCommand(filepath, command[len(filepath) + 1 :])
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class CodeWriter:
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@staticmethod
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def write(command: str) -> str:
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return WriteCommand.from_str(command).with_mode("w").execute()
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@staticmethod
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def append(command: str) -> str:
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return WriteCommand.from_str(command).with_mode("a").execute()
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#================> END
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#============================> EDITOR/READ.PY
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"""
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read protocol:
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<filepath>|<start line>-<end line>
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"""
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from typing import List, Optional
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class Line:
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def __init__(self, content: str, line_number: int, depth: int):
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self.__content: str = content
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self.__line_number: int = line_number
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self.__depth: int = depth
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self.__children: List[Line] = []
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def get_content(self) -> str:
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return self.__content
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def get_depth(self) -> int:
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return self.__depth
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def append_child(self, child: "Line") -> None:
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self.__children.append(child)
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def find_by_lte_depth(self, depth: int) -> List["Line"]:
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if self.__depth > depth:
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return []
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lines: List[Line] = [self]
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for child in self.__children:
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lines += child.find_by_lte_depth(depth)
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return lines
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def find_by_content(self, content: str) -> List["Line"]:
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if content in self.__content:
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return [self]
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lines: List[Line] = []
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for child in self.__children:
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lines += child.find_by_content(content)
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return lines
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def find_last_lines(self) -> List["Line"]:
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if len(self.__children) == 0:
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return [self]
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else:
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return [self, *self.__children[-1].find_last_lines()]
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def print(self, depth: int = 0) -> None:
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print(f"{' ' * depth}{self}", end="")
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for child in self.__children:
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child.print(depth + 1)
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def __repr__(self):
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return f"{self.__line_number}: {self.__content}"
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class CodeTree:
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def __init__(self):
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self.root: Line = Line("\n", -1, -1)
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def append(self, content: str, line_number: int) -> None:
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last_lines: List[Line] = self.root.find_last_lines()
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new_leading_spaces: int = self.__get_leading_spaces(content)
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previous_line: Line = self.root
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previous_leading_spaces: int = -1
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for line in last_lines:
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leading_spaces = self.__get_leading_spaces(line.get_content())
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if (
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previous_leading_spaces < new_leading_spaces
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and new_leading_spaces <= leading_spaces
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):
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break
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previous_line, previous_leading_spaces = line, leading_spaces
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new_line_depth: int = previous_line.get_depth() + 1
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previous_line.append_child(Line(content, line_number, new_line_depth))
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def find_from_root(self, depth: int) -> List[Line]:
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return self.root.find_by_lte_depth(depth)
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def find_from_parent(self, depth: int, parent_content: str) -> List[Line]:
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lines: List[Line] = self.root.find_by_content(parent_content)
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if len(lines) == 0:
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return []
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parent = lines[0]
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return parent.find_by_lte_depth(depth + parent.get_depth())
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def print(self):
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print("Code Tree:")
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print("=================================")
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self.root.print()
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print("=================================")
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def __get_leading_spaces(self, content: str) -> int:
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return len(content) - len(content.lstrip())
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class ReadCommand:
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separator = "|"
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def __init__(self, filepath: str, start: int, end: int):
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self.filepath: str = filepath
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self.start: int = start
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self.end: int = end
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@verify
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def execute(self) -> str:
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with open(self.filepath, "r") as f:
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code = f.readlines()
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if self.start == self.end:
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code = code[self.start - 1]
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else:
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code = "".join(code[self.start - 1 : self.end])
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return code
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@staticmethod
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def from_str(command: str) -> "ReadCommand":
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filepath, line = command.split(ReadCommand.separator)
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start, end = line.split("-")
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return ReadCommand(filepath, int(start), int(end))
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class SummaryCommand:
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separator = "|"
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def __init__(self, filepath: str, depth: int, parent_content: Optional[str] = None):
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self.filepath: str = filepath
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self.depth: int = depth
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self.parent_content: Optional[str] = parent_content
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@verify
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def execute(self) -> str:
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with open(self.filepath, "r") as f:
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code = f.readlines()
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code_tree = CodeTree()
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for i, line in enumerate(code):
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if line.strip() != "":
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code_tree.append(line, i + 1)
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if self.parent_content is None:
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lines = code_tree.find_from_root(self.depth)
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else:
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lines = code_tree.find_from_parent(self.depth, self.parent_content)
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return "".join([str(line) for line in lines])
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@staticmethod
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def from_str(command: str) -> "SummaryCommand":
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command_list: List[str] = command.split(SummaryCommand.separator)
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filepath: str = command_list[0]
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depth: int = int(command_list[1])
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parent_content: str | None = command_list[2] if len(command_list) == 3 else None
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return SummaryCommand(
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filepath=filepath, depth=depth, parent_content=parent_content
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)
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class CodeReader:
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@staticmethod
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def read(command: str) -> str:
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return ReadCommand.from_str(command).execute()
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@staticmethod
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def summary(command: str) -> str:
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return SummaryCommand.from_str(command).execute()
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if __name__ == "__main__":
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summary = CodeReader.summary("read.py|1|class ReadCommand:")
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print(summary)
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#============================> EDITOR/READ.PY END
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#=================================> EDITOR/PATCH.PY
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"""
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patch protocol:
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<filepath>|<line>,<col>|<line>,<col>|<content>
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---~~~+++===+++~~~---
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<filepath>|<line>,<col>|<line>,<col>|<content>
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---~~~+++===+++~~~---
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...
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---~~~+++===+++~~~---
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let say original code is:
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```
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import requests
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def crawl_news(keyword):
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url = f"https://www.google.com/search?q={keyword}+news"
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response = requests.get(url)
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news = []
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for result in response:
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news.append(result.text)
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return news
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```
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and we want to change it to:
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```
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import requests
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from bs4 import BeautifulSoup
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def crawl_news(keyword):
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url = f"https://www.google.com/search?q={keyword}+news"
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html = requests.get(url).text
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soup = BeautifulSoup(html, "html.parser")
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news_results = soup.find_all("div", class_="BNeawe vvjwJb AP7Wnd")
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news_titles = []
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for result in news_results:
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news_titles.append(result.text)
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return news_titles
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```
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then the command will be:
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test.py|2,1|2,1|from bs4 import BeautifulSoup
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---~~~+++===+++~~~---
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test.py|5,5|5,33|html = requests.get(url).text
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soup = BeautifulSoup(html, "html.parser")
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news_results = soup.find_all("div", class_="BNeawe vvjwJb AP7Wnd")
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---~~~+++===+++~~~---
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test.py|7,5|9,13|news_titles = []
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for result in news_results:
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news_titles
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---~~~+++===+++~~~---
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test.py|11,16|11,16|_titles
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"""
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import os
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import re
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from typing import Tuple
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from .verify import verify
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class Position:
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separator = ","
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def __init__(self, line: int, col: int):
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self.line: int = line
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self.col: int = col
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def __str__(self):
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return f"(Ln {self.line}, Col {self.col})"
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@staticmethod
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def from_str(pos: str) -> "Position":
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line, col = pos.split(Position.separator)
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return Position(int(line) - 1, int(col) - 1)
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class PatchCommand:
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separator = "|"
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def __init__(self, filepath: str, start: Position, end: Position, content: str):
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self.filepath: str = filepath
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self.start: Position = start
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self.end: Position = end
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self.content: str = content
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def read_lines(self) -> list[str]:
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|
|
with open(self.filepath, "r") as f:
|
|
|
|
|
lines = f.readlines()
|
|
|
|
|
return lines
|
|
|
|
|
|
|
|
|
|
def write_lines(self, lines: list[str]) -> int:
|
|
|
|
|
with open(self.filepath, "w") as f:
|
|
|
|
|
f.writelines(lines)
|
|
|
|
|
return sum([len(line) for line in lines])
|
|
|
|
|
|
|
|
|
|
@verify
|
|
|
|
|
def execute(self) -> Tuple[int, int]:
|
|
|
|
|
lines = self.read_lines()
|
|
|
|
|
before = sum([len(line) for line in lines])
|
|
|
|
|
|
|
|
|
|
lines[self.start.line] = (
|
|
|
|
|
lines[self.start.line][: self.start.col]
|
|
|
|
|
+ self.content
|
|
|
|
|
+ lines[self.end.line][self.end.col :]
|
|
|
|
|
)
|
|
|
|
|
lines = lines[: self.start.line + 1] + lines[self.end.line + 1 :]
|
|
|
|
|
|
|
|
|
|
after = self.write_lines(lines)
|
|
|
|
|
|
|
|
|
|
written = len(self.content)
|
|
|
|
|
deleted = before - after + written
|
|
|
|
|
|
|
|
|
|
return written, deleted
|
|
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
|
def from_str(command: str) -> "PatchCommand":
|
|
|
|
|
match = re.search(
|
|
|
|
|
r"(.*)\|([0-9]*),([0-9]*)\|([0-9]*),([0-9]*)(\||\n)(.*)",
|
|
|
|
|
command,
|
|
|
|
|
re.DOTALL,
|
|
|
|
|
)
|
|
|
|
|
filepath = match.group(1)
|
|
|
|
|
start_line = match.group(2)
|
|
|
|
|
start_col = match.group(3)
|
|
|
|
|
end_line = match.group(4)
|
|
|
|
|
end_col = match.group(5)
|
|
|
|
|
content = match.group(7)
|
|
|
|
|
return PatchCommand(
|
|
|
|
|
filepath,
|
|
|
|
|
Position.from_str(f"{start_line},{start_col}"),
|
|
|
|
|
Position.from_str(f"{end_line},{end_col}"),
|
|
|
|
|
content,
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class CodePatcher:
|
|
|
|
|
separator = "\n---~~~+++===+++~~~---\n"
|
|
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
|
def sort_commands(commands: list[PatchCommand]) -> list[PatchCommand]:
|
|
|
|
|
return sorted(commands, key=lambda c: c.start.line, reverse=True)
|
|
|
|
|
|
|
|
|
|
@staticmethod
|
|
|
|
|
def patch(bulk_command: str) -> Tuple[int, int]:
|
|
|
|
|
commands = [
|
|
|
|
|
PatchCommand.from_str(command)
|
|
|
|
|
for command in bulk_command.split(CodePatcher.separator)
|
|
|
|
|
if command != ""
|
|
|
|
|
]
|
|
|
|
|
commands = CodePatcher.sort_commands(commands)
|
|
|
|
|
|
|
|
|
|
written, deleted = 0, 0
|
|
|
|
|
for command in commands:
|
|
|
|
|
if command:
|
|
|
|
|
w, d = command.execute()
|
|
|
|
|
written += w
|
|
|
|
|
deleted += d
|
|
|
|
|
return written, deleted
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
commands = """test.py|2,1|2,1|from bs4 import BeautifulSoup
|
|
|
|
|
|
|
|
|
|
---~~~+++===+++~~~---
|
|
|
|
|
test.py|5,5|5,33|html = requests.get(url).text
|
|
|
|
|
soup = BeautifulSoup(html, "html.parser")
|
|
|
|
|
news_results = soup.find_all("div", class_="BNeawe vvjwJb AP7Wnd")
|
|
|
|
|
---~~~+++===+++~~~---
|
|
|
|
|
test.py|7,5|9,13|news_titles = []
|
|
|
|
|
for result in news_results:
|
|
|
|
|
news_titles
|
|
|
|
|
---~~~+++===+++~~~---
|
|
|
|
|
test.py|11,16|11,16|_titles
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
example = """import requests
|
|
|
|
|
|
|
|
|
|
def crawl_news(keyword):
|
|
|
|
|
url = f"https://www.google.com/search?q={keyword}+news"
|
|
|
|
|
response = requests.get(url)
|
|
|
|
|
|
|
|
|
|
news = []
|
|
|
|
|
for result in response:
|
|
|
|
|
news.append(result.text)
|
|
|
|
|
|
|
|
|
|
return news
|
|
|
|
|
"""
|
|
|
|
|
testfile = "test.py"
|
|
|
|
|
with open(testfile, "w") as f:
|
|
|
|
|
f.write(example)
|
|
|
|
|
|
|
|
|
|
patcher = CodePatcher()
|
|
|
|
|
written, deleted = patcher.patch(commands)
|
|
|
|
|
print(f"written: {written}, deleted: {deleted}")
|
|
|
|
|
|
|
|
|
|
####################### => EDITOR/PATCH.PY
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
###################### EDITOR// INIT.PY
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class CodeEditor(BaseToolSet):
|
|
|
|
|
@tool(
|
|
|
|
|
name="CodeEditor.READ",
|
|
|
|
|
description="Read and understand code. "
|
|
|
|
|
f"Input should be filename and line number group. ex. test.py|1-10 "
|
|
|
|
|
"and the output will be code. ",
|
|
|
|
|
)
|
|
|
|
|
def read(self, inputs: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
output = CodeReader.read(inputs)
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.READ, Input Commands: {inputs} "
|
|
|
|
|
f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
@tool(
|
|
|
|
|
name="CodeEditor.SUMMARY",
|
|
|
|
|
description="Summary code. "
|
|
|
|
|
"Read the code structured into a tree. "
|
|
|
|
|
"If you set specific line, it will show the code from the specific line. "
|
|
|
|
|
"Input should be filename, depth, and specific line if you want. ex. test.py|2 or test.py|3|print('hello world') "
|
|
|
|
|
"and the output will be list of (line number: code). ",
|
|
|
|
|
)
|
|
|
|
|
def summary(self, inputs: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
output = CodeReader.summary(inputs)
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.SUMMARY, Input Commands: {inputs} "
|
|
|
|
|
f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
@tool(
|
|
|
|
|
name="CodeEditor.APPEND",
|
|
|
|
|
description="Append code to the existing file. "
|
|
|
|
|
"If the code is completed, use the Terminal tool to execute it, if not, append the code through the this tool. "
|
|
|
|
|
"Input should be filename and code to append. "
|
|
|
|
|
"Input code must be the code that should be appended, NOT whole code. "
|
|
|
|
|
"ex. test.py\nprint('hello world')\n "
|
|
|
|
|
"and the output will be last 3 lines.",
|
|
|
|
|
)
|
|
|
|
|
def append(self, inputs: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
code = CodeWriter.append(inputs)
|
|
|
|
|
output = "Last 3 line was:\n" + "\n".join(code.split("\n")[-3:])
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.APPEND, Input: {inputs} "
|
|
|
|
|
f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
@tool(
|
|
|
|
|
name="CodeEditor.WRITE",
|
|
|
|
|
description="Write code to create a new tool. "
|
|
|
|
|
"If the code is completed, use the Terminal tool to execute it, if not, append the code through the CodeEditor.APPEND tool. "
|
|
|
|
|
"Input should be formatted like: "
|
|
|
|
|
"<filename>\n<code>\n\n"
|
|
|
|
|
"Here is an example: "
|
|
|
|
|
"test.py\nmessage = 'hello world'\nprint(message)\n"
|
|
|
|
|
"\n"
|
|
|
|
|
"The output will be last 3 lines you wrote.",
|
|
|
|
|
)
|
|
|
|
|
def write(self, inputs: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
code = CodeWriter.write(inputs.lstrip())
|
|
|
|
|
output = "Last 3 line was:\n" + "\n".join(code.split("\n")[-3:])
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.WRITE, Input: {inputs} " f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
# @tool(
|
|
|
|
|
# name="CodeEditor.PATCH",
|
|
|
|
|
# description="Patch the code to correct the error if an error occurs or to improve it. "
|
|
|
|
|
# "Input is a list of patches. The patch is separated by {seperator}. ".format(
|
|
|
|
|
# seperator=CodePatcher.separator.replace("\n", "\\n")
|
|
|
|
|
# )
|
|
|
|
|
# + "Each patch has to be formatted like below.\n"
|
|
|
|
|
# "<filepath>|<start_line>,<start_col>|<end_line>,<end_col>|<new_code>"
|
|
|
|
|
# "Here is an example. If the original code is:\n"
|
|
|
|
|
# "print('hello world')\n"
|
|
|
|
|
# "and you want to change it to:\n"
|
|
|
|
|
# "print('hi corca')\n"
|
|
|
|
|
# "then the patch should be:\n"
|
|
|
|
|
# "test.py|1,8|1,19|hi corca\n"
|
|
|
|
|
# "Code between start and end will be replaced with new_code. "
|
|
|
|
|
# "The output will be written/deleted bytes or error message. ",
|
|
|
|
|
# )
|
|
|
|
|
def patch(self, patches: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
w, d = CodePatcher.patch(patches)
|
|
|
|
|
output = f"successfully wrote {w}, deleted {d}"
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.PATCH, Input Patch: {patches} "
|
|
|
|
|
f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
@tool(
|
|
|
|
|
name="CodeEditor.DELETE",
|
|
|
|
|
description="Delete code in file for a new start. "
|
|
|
|
|
"Input should be filename."
|
|
|
|
|
"ex. test.py "
|
|
|
|
|
"Output will be success or error message.",
|
|
|
|
|
)
|
|
|
|
|
def delete(self, inputs: str) -> str:
|
|
|
|
|
try:
|
|
|
|
|
with open(filepath, "w") as f:
|
|
|
|
|
f.write("")
|
|
|
|
|
output = "success"
|
|
|
|
|
except Exception as e:
|
|
|
|
|
output = str(e)
|
|
|
|
|
|
|
|
|
|
logger.debug(
|
|
|
|
|
f"\nProcessed CodeEditor.DELETE, Input filename: {inputs} "
|
|
|
|
|
f"Output Answer: {output}"
|
|
|
|
|
)
|
|
|
|
|
return output
|
|
|
|
|
|
|
|
|
|
###################### EDITOR// INIT.PY END
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
########################### MODELS
|
|
|
|
|
import os
|
|
|
|
|
import uuid
|
|
|
|
|
|
|
|
|
|
import numpy as np
|
|
|
|
|
import torch
|
|
|
|
|
from diffusers import (
|
|
|
|
|
EulerAncestralDiscreteScheduler,
|
|
|
|
|
StableDiffusionInpaintPipeline,
|
|
|
|
|
StableDiffusionInstructPix2PixPipeline,
|
|
|
|
|
StableDiffusionPipeline,
|
|
|
|
|
)
|
|
|
|
|
from PIL import Image
|
|
|
|
|
from transformers import (
|
|
|
|
|
BlipForQuestionAnswering,
|
|
|
|
|
BlipProcessor,
|
|
|
|
|
CLIPSegForImageSegmentation,
|
|
|
|
|
CLIPSegProcessor,
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
from logger import logger
|
|
|
|
|
from utils import get_new_image_name
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class MaskFormer(BaseToolSet):
|
|
|
|
|
def __init__(self, device):
|
|
|
|
|
print("Initializing MaskFormer to %s" % device)
|
|
|
|
|
self.device = device
|
|
|
|
|
self.processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
|
|
|
|
|
self.model = CLIPSegForImageSegmentation.from_pretrained(
|
|
|
|
|
"CIDAS/clipseg-rd64-refined"
|
|
|
|
|
).to(device)
|
|
|
|
|
|
|
|
|
|
def inference(self, image_path, text):
|
|
|
|
|
threshold = 0.5
|
|
|
|
|
min_area = 0.02
|
|
|
|
|
padding = 20
|
|
|
|
|
original_image = Image.open(image_path)
|
|
|
|
|
image = original_image.resize((512, 512))
|
|
|
|
|
inputs = self.processor(
|
|
|
|
|
text=text, images=image, padding="max_length", return_tensors="pt"
|
|
|
|
|
).to(self.device)
|
|
|
|
|
with torch.no_grad():
|
|
|
|
|
outputs = self.model(**inputs)
|
|
|
|
|
mask = torch.sigmoid(outputs[0]).squeeze().cpu().numpy() > threshold
|
|
|
|
|
area_ratio = len(np.argwhere(mask)) / (mask.shape[0] * mask.shape[1])
|
|
|
|
|
if area_ratio < min_area:
|
|
|
|
|
return None
|
|
|
|
|
true_indices = np.argwhere(mask)
|
|
|
|
|
mask_array = np.zeros_like(mask, dtype=bool)
|
|
|
|
|
for idx in true_indices:
|
|
|
|
|
padded_slice = tuple(
|
|
|
|
|
slice(max(0, i - padding), i + padding + 1) for i in idx
|
|
|
|
|
)
|
|
|
|
|
mask_array[padded_slice] = True
|
|
|
|
|
visual_mask = (mask_array * 255).astype(np.uint8)
|
|
|
|
|
image_mask = Image.fromarray(visual_mask)
|
|
|
|
|
return image_mask.resize(original_image.size)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
class ImageEditing(BaseToolSet):
|
|
|
|
|
def __init__(self, device):
|
|
|
|
|
print("Initializing ImageEditing to %s" % device)
|
|
|
|
|
self.device = device
|
|
|
|
|
self.mask_former = MaskFormer(device=self.device)
|
|
|
|
|
self.revision = "fp16" if "cuda" in device else None
|
|
|
|
|
self.torch_dtype = torch.float16 if "cuda" in device else torch.float32
|
|
|
|
|
self.inpaint = StableDiffusionInpaintPipeline.from_pretrained(
|
|
|
|
|
"runwayml/stable-diffusion-inpainting",
|
|
|
|
|
revision=self.revision,
|
|
|
|
|
torch_dtype=self.torch_dtype,
|
|
|
|
|
).to(device)
|
|
|
|
|
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@tool(
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name="Remove Something From The Photo",
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description="useful when you want to remove and object or something from the photo "
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"from its description or location. "
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"The input to this tool should be a comma separated string of two, "
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"representing the image_path and the object need to be removed. ",
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)
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def inference_remove(self, inputs):
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image_path, to_be_removed_txt = inputs.split(",")
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return self.inference_replace(f"{image_path},{to_be_removed_txt},background")
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@tool(
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name="Replace Something From The Photo",
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description="useful when you want to replace an object from the object description or "
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"location with another object from its description. "
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"The input to this tool should be a comma separated string of three, "
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"representing the image_path, the object to be replaced, the object to be replaced with ",
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)
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def inference_replace(self, inputs):
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image_path, to_be_replaced_txt, replace_with_txt = inputs.split(",")
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original_image = Image.open(image_path)
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original_size = original_image.size
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mask_image = self.mask_former.inference(image_path, to_be_replaced_txt)
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updated_image = self.inpaint(
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prompt=replace_with_txt,
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image=original_image.resize((512, 512)),
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mask_image=mask_image.resize((512, 512)),
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).images[0]
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updated_image_path = get_new_image_name(
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image_path, func_name="replace-something"
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)
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updated_image = updated_image.resize(original_size)
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updated_image.save(updated_image_path)
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logger.debug(
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f"\nProcessed ImageEditing, Input Image: {image_path}, Replace {to_be_replaced_txt} to {replace_with_txt}, "
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f"Output Image: {updated_image_path}"
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)
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return updated_image_path
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class InstructPix2Pix(BaseToolSet):
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def __init__(self, device):
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print("Initializing InstructPix2Pix to %s" % device)
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self.device = device
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self.torch_dtype = torch.float16 if "cuda" in device else torch.float32
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self.pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained(
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"timbrooks/instruct-pix2pix",
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safety_checker=None,
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torch_dtype=self.torch_dtype,
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).to(device)
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self.pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(
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self.pipe.scheduler.config
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)
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@tool(
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name="Instruct Image Using Text",
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description="useful when you want to the style of the image to be like the text. "
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"like: make it look like a painting. or make it like a robot. "
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"The input to this tool should be a comma separated string of two, "
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"representing the image_path and the text. ",
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)
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def inference(self, inputs):
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"""Change style of image."""
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logger.debug("===> Starting InstructPix2Pix Inference")
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image_path, text = inputs.split(",")[0], ",".join(inputs.split(",")[1:])
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original_image = Image.open(image_path)
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image = self.pipe(
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text, image=original_image, num_inference_steps=40, image_guidance_scale=1.2
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).images[0]
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updated_image_path = get_new_image_name(image_path, func_name="pix2pix")
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image.save(updated_image_path)
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logger.debug(
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f"\nProcessed InstructPix2Pix, Input Image: {image_path}, Instruct Text: {text}, "
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f"Output Image: {updated_image_path}"
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)
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return updated_image_path
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class Text2Image(BaseToolSet):
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def __init__(self, device):
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print("Initializing Text2Image to %s" % device)
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self.device = device
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self.torch_dtype = torch.float16 if "cuda" in device else torch.float32
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self.pipe = StableDiffusionPipeline.from_pretrained(
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"runwayml/stable-diffusion-v1-5", torch_dtype=self.torch_dtype
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)
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self.pipe.to(device)
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self.a_prompt = "best quality, extremely detailed"
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self.n_prompt = (
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"longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, "
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"fewer digits, cropped, worst quality, low quality"
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)
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@tool(
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name="Generate Image From User Input Text",
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description="useful when you want to generate an image from a user input text and save it to a file. "
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"like: generate an image of an object or something, or generate an image that includes some objects. "
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"The input to this tool should be a string, representing the text used to generate image. ",
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)
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def inference(self, text):
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image_filename = os.path.join("image", str(uuid.uuid4())[0:8] + ".png")
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prompt = text + ", " + self.a_prompt
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image = self.pipe(prompt, negative_prompt=self.n_prompt).images[0]
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image.save(image_filename)
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logger.debug(
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f"\nProcessed Text2Image, Input Text: {text}, Output Image: {image_filename}"
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)
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return image_filename
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class VisualQuestionAnswering(BaseToolSet):
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def __init__(self, device):
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print("Initializing VisualQuestionAnswering to %s" % device)
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self.torch_dtype = torch.float16 if "cuda" in device else torch.float32
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self.device = device
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self.processor = BlipProcessor.from_pretrained("Salesforce/blip-vqa-base")
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self.model = BlipForQuestionAnswering.from_pretrained(
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"Salesforce/blip-vqa-base", torch_dtype=self.torch_dtype
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|
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).to(self.device)
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@tool(
|
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|
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|
name="Answer Question About The Image",
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description="useful when you need an answer for a question based on an image. "
|
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|
|
|
"like: what is the background color of the last image, how many cats in this figure, what is in this figure. "
|
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|
|
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"The input to this tool should be a comma separated string of two, representing the image_path and the question",
|
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|
|
|
)
|
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def inference(self, inputs):
|
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|
|
image_path, question = inputs.split(",")
|
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|
|
raw_image = Image.open(image_path).convert("RGB")
|
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|
|
inputs = self.processor(raw_image, question, return_tensors="pt").to(
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|
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self.device, self.torch_dtype
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)
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out = self.model.generate(**inputs)
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answer = self.processor.decode(out[0], skip_special_tokens=True)
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logger.debug(
|
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|
f"\nProcessed VisualQuestionAnswering, Input Image: {image_path}, Input Question: {question}, "
|
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|
|
f"Output Answer: {answer}"
|
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|
|
|
)
|
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|
|
return answer
|
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|
|
########################### MODELS
|
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|
|
Kye
2 years ago