crew-ai-codecollection/crew-code-interpreter.py

import os
import subprocess

# packages = ["open-interpreter", "gradio"]

# for package in packages:
#     subprocess.check_call(["pip", "install", package])


# Importieren Sie die erforderlichen Bibliotheken
import asyncio
import platform

if platform.system() == 'Windows':
    asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())


# Environment Variablen importieren
from dotenv import load_dotenv
load_dotenv()

# CrewAI importieren
from crewai import Agent, Task, Crew, Process

# LLMs von OpenAI und Ollama importieren
from langchain_openai import ChatOpenAI
from langchain.tools import tool
# Interpreter importieren
from interpreter import interpreter


# Configurations and Tools
gpt4turbo = ChatOpenAI(model_name="gpt-4-turbo-preview", temperature=0.8)
interpreter.auto_run = True
interpreter.llm.model = "openai/gpt-4-turbo-preview"
interpreter.llm.temperature = 0.8


@tool('Executor')
def execute_cli_command(command: str):
    """Create and Execute the code using Open Interpreter"""
    result = interpreter.chat(command)
    return result
    

# Create an agent for the CLI tasks
    
cli_agent = Agent(
    role='Software Developer',
    goal='Helpfull Assistant. Ability to perform CLI operations, write programms and execute code using Executor Tool.',
    backstory='Expert in command line operations and automating tasks.',
    tools=[execute_cli_command],
    llm=gpt4turbo,
    deligate_tools=False,
    verbose=True
)

cli_task = Task(
    description='Identify the OS and empty my trash bin.',
    expected_output='Log all actions und result of the code execution',
    agent=cli_agent
)

# Create a crew for the CLI tasks
cli_crew = Crew(
    name='CLI Crew',
    agents=[cli_agent],
    tasks=[cli_task],
    process=Process.sequential,
    manager_llm=gpt4turbo
)

# Run the crew in the CLI Interface
import gradio as gr

def cli_interface(command):
    cli_task.description = command  
    result = cli_crew.kickoff()
    return result

iface = gr.Interface(
    fn=cli_interface, 
    inputs=gr.Textbox(lines=2, placeholder="Was soll ich tun?", value="Identifiziere das Betriebssystem, nutze F:\blog-posts als Arbeitsverzeichniss und generiere eine Markdown Datei mit dem Titel 'Test' und der Liste aller Dateien in diesem Verzeichniss als Inhalt."), 
    outputs="text",
    title="CLI Command Executor",
    description="Execute CLI commands via a natural language interface."
)

iface.launch()