feat: add black formatter (#12)

* feat: add black formatter

* Update README.md

Signed-off-by: FortiShield <161459699+FortiShield@users.noreply.github.com>

* Update README.md

Signed-off-by: FortiShield <161459699+FortiShield@users.noreply.github.com>

---------

Signed-off-by: FortiShield <161459699+FortiShield@users.noreply.github.com>

README.md

@@ -1,5 +1,7 @@
 # GPT Computer Agent
 
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/khulnasoft/gpt-computer-agent)
+
 Hi, this is an alternative work for providing ChatGPT MacOS app to Windows and Linux. In this way this is a fresh and stable work. You can easily install as Python library for this time but we will prepare a pipeline to providing native install scripts (.exe).
 
 ## Installation && Run

bump.py

@@ -2,45 +2,51 @@
 import sys
 import re
 
+
 def read_version():
-    with open('gpt_computer_agent/__init__.py', 'r') as file:
+    with open("gpt_computer_agent/__init__.py", "r") as file:
         for line in file:
             match = re.search(r"__version__ = '(.*)'", line)
             if match:
                 return match.group(1)
 
+
 def increment_version(part, version):
-    major, minor, patch = map(int, version.split('.'))
-    if part == 'major':
+    major, minor, patch = map(int, version.split("."))
+    if part == "major":
         major += 1
         minor = 0
         patch = 0
-    elif part == 'minor':
+    elif part == "minor":
         minor += 1
         patch = 0
-    elif part == 'patch':
+    elif part == "patch":
         patch += 1
-    return f'{major}.{minor}.{patch}'
+    return f"{major}.{minor}.{patch}"
+
 
 def write_version(version):
-    with open('gpt_computer_agent/__init__.py', 'r+') as file:
+    with open("gpt_computer_agent/__init__.py", "r+") as file:
         content = file.read()
         content = re.sub(r"__version__ = '.*'", f"__version__ = '{version}'", content)
         file.seek(0)
         file.write(content)
 
+
 def update_version(version):
-    files = ['setup.py']
+    files = ["setup.py"]
     for file in files:
-        with open(file, 'r+') as f:
+        with open(file, "r+") as f:
             content = f.read()
             content = re.sub(r'    version=".*"', f'    version="{version}"', content)
             f.seek(0)
             f.write(content)
 
+
 def create_tag(version):
     os.system(f"git tag v{version}")
 
+
 def create_commit(version):
     os.system("git add .")
     os.system(f"git commit -m 'Changed version number with v{version}'")
@@ -50,6 +56,7 @@ def push():
     os.system("git push")
     os.system("git push --tag")
 
+
 def main():
     part = sys.argv[1]
     version = read_version()
@@ -60,5 +67,6 @@ def main():
     create_tag(new_version)
     push()
 
-if __name__ == '__main__':
+
+if __name__ == "__main__":
     main()

gpt_computer_agent/__init__.py

@@ -1,4 +1,4 @@
 from .start import start
 
 
-__version__ = '0.1.1'
+__version__ = "0.1.1"

gpt_computer_agent/agent/agent.py

@@ -1,24 +1,21 @@
 from ..llm import *
 
 
-
-
 from langgraph.checkpoint.sqlite import SqliteSaver
 
 
-
-
-
 from langgraph.prebuilt import chat_agent_executor
 
 try:
     from upsonic import Tiger
+
     tools = Tiger()
     tools.enable_auto_requirements = True
     tools = tools.langchain()
 except ImportError:
     from langchain.agents import Tool
     from langchain_experimental.utilities import PythonREPL
+
     python_repl = PythonREPL()
     # You can create the tool to pass to an agent
     repl_tool = Tool(
@@ -29,12 +26,10 @@
     tools = [repl_tool]
 
 
-
 def get_agent_executor():
     return chat_agent_executor.create_tool_calling_executor(get_model(), tools)
 
 
-
 """
 from langchain.agents import Tool
 from langchain_experimental.utilities import PythonREPL

gpt_computer_agent/agent/background.py

@@ -5,5 +5,5 @@
 llm_history_oiginal = [
     SystemMessage(
         content="You are a helpful and intelligent agent. But converting your text to the speech process can be long so please make your answers as short as possible. Answer with a maximum of 3 sentences. Also, please feel free to use tools. If you want to make a long answer, use the clipboard tool and say 'I just copied the answer.' Use this method for codes, text fixes. If the user wants to take an action, just make the action and say 'ok.' Like copying to clipboard."
-                 )
-    ]
+    )
+]

gpt_computer_agent/agent/chat_history.py

@@ -5,17 +5,16 @@
 from ..utils.db import get_history_db
 
 
-
 def get_chat_message_history():
     print("HISTORY DB", get_history_db())
     connection = SQLChatMessageHistory(
-    session_id="abc123", connection_string=f"sqlite:///{get_history_db()}")
+        session_id="abc123", connection_string=f"sqlite:///{get_history_db()}"
+    )
     if len(connection.messages) == 0:
         connection.add_message(llm_history_oiginal[0])
 
     return connection
 
-
 
 def clear_chat_history():
     get_chat_message_history().clear()