104 lines
2.6 KiB
Python
104 lines
2.6 KiB
Python
import subprocess
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# packages = ["open-interpreter", "gradio"]
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# for package in packages:
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# subprocess.check_call(["pip", "install", package])
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# Importieren Sie die erforderlichen Bibliotheken
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import asyncio
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import platform
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if platform.system() == 'Windows':
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asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
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# Environment Variablen importieren
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from dotenv import load_dotenv
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load_dotenv()
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# CrewAI importieren
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from crewai import Agent, Task, Crew, Process
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# LLMs von OpenAI und Ollama importieren
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from langchain_community.llms import OpenAI, Ollama
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from langchain_openai import ChatOpenAI
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from langchain.tools import tool
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# Interpreter importieren
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from interpreter import interpreter
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# Configurations and Tools
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llm = ChatOpenAI(model_name="gpt-4-turbo-preview", temperature=0.8)
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interpreter.auto_run = True
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interpreter.llm.model = "openai/gpt-4-turbo-preview"
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interpreter.llm.temperature = 0.8
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# loacl LLM Configuration and Tools
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# llm = Ollama(model="mistral")
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# interpreter.auto_run = True
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# interpreter.llm.model = "openai/mistral"
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# interpreter.llm.api_base = "http://localhost:11434/v1"
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# interpreter.llm.api_key = "fake_key"
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# interpreter.offline = True
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# interpreter.llm.max_tokens = 1000
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# interpreter.llm.max_retries = 20
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# interpreter.llm.context_window = 3000
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@tool('Executor')
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def execute_cli_command(command: str):
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"""Create and Execute the code using Open Interpreter"""
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result = interpreter.chat(command)
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return result
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# Create an agent for the CLI tasks
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cli_agent = Agent(
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role='Software Developer',
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goal='Helpfull Assistant. Ability to perform CLI operations, write programms and execute code using Executor Tool.',
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backstory='Expert in command line operations and automating tasks.',
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tools=[execute_cli_command],
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llm=llm,
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deligate_tools=False,
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verbose=True
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)
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cli_task = Task(
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description='Identify the OS and empty my trash bin.',
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expected_output='Log all actions und result of the code execution',
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agent=cli_agent
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)
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# Create a crew for the CLI tasks
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cli_crew = Crew(
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name='CLI Crew',
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agents=[cli_agent],
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tasks=[cli_task],
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process=Process.sequential,
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manager_llm=llm
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)
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# Run the crew in the CLI Interface
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import gradio as gr
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def cli_interface(command):
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cli_task.description = command
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result = cli_crew.kickoff()
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return result
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iface = gr.Interface(
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fn=cli_interface,
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inputs=gr.Textbox(lines=2, placeholder="Was soll ich tun?"),
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outputs="text",
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title="CLI Command Executor",
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description="Execute CLI commands via a natural language interface."
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)
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iface.launch()
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