domotic-agent/main.py

import os
from langchain.agents import Tool, initialize_agent, AgentType
from dotenv import load_dotenv
from tools.qbit import QbitDownloadListTool, QbitSearchTool, QbitDownloadTorrentTool
from tools.search import MediaInfoSearchTool, MoviesAdviceSearchTool
from langchain.memory import ConversationBufferMemory
from langchain.chat_models import init_chat_model
import gradio as gr
import datetime
# Load environment variables
load_dotenv()

def create_agent():
    # Initialize the language model
    #llm = init_chat_model("gpt-4.1-mini", model_provider="openai")
    llm = init_chat_model("qwen2.5-coder:14b", model_provider="ollama", temperature=0)
    # Create system message with current time and other info
    current_time = datetime.datetime.now()

    # Initialize memory
    memory = ConversationBufferMemory(
        memory_key="chat_history", 
        return_messages=True,
        human_prefix="User", 
        ai_prefix="Assistant"
    )
    memory.chat_memory.add_message(f"SYSTEM: today is {current_time.strftime('%Y-%m-%d')}")
    memory.chat_memory.add_message(f"SYSTEM:from now on when User ask for movie or tv series suggestion reply with a numbered markdown list with a brief description of each title")
    memory.chat_memory.add_message(f"SYSTEM:from now on when list torrents show seeds number and MAGNET LINK (USING A MARKDOWN LINK WITH TEXT 'Magnet link 🧲')")
    memory.chat_memory.add_message(f"SYSTEM:from now on, when show downloads list show a clean and nice markdown format with name and the most important information, \
                                   also add near it an emoji of progress of the download to represent how complete it is and set a coloured bullet emoji after status of torrent status, for example blue for uploading, green for downloading, \
                                   red for error, yellow for paused, and grey for completed")
    memory.chat_memory.add_message(f"SYSTEM: from now on, when user ask for downolad NEVER start a qbittorrent download if user hasn't viewed the list of torrents first, \
                                   and choosed one of them")
    # Initialize tools
    tools = [
        QbitDownloadListTool(),
        QbitSearchTool(),
        QbitDownloadTorrentTool(),
        MoviesAdviceSearchTool(),
        MediaInfoSearchTool()
    ]
    
    # Initialize the agent with memory
    agent = initialize_agent(
        tools, 
        llm, 
        agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
        verbose=True,
        memory=memory
    )
    
    return agent

def process_query(message, history):
    try:
        # Create agent if it doesn't exist
        if not hasattr(process_query, "agent"):
            process_query.agent = create_agent()
        
        # Run the agent with the user's message
        response = process_query.agent.run(message)
        return response
    except Exception as e:
        return f"Error: {str(e)}"

def main():
    print("Starting qBittorrent AI Agent...")
    
    # Create Gradio interface
    with gr.Blocks(title="qbit-agent") as interface:
        gr.Markdown("# qbit-agent")
        gr.Markdown("### Made by Matteo with hate and piracy 💀")
        gr.Markdown("Ask about downloads, search for content (and torrent), or get recommendations.")
        
        chatbot = gr.ChatInterface(
            process_query,
            examples=["Find me the latest sci-fi movies", 
                     "What are the top TV shows from 2023?",
                     "Download Interstellar in 1080p",
                     "Show me my current downloads",
                     "What is The Matrix",
                     "Get me a list of horror movies"],
        )
    
    # Launch the interface
    interface.launch(share=True)

def cli_main():
    print("Starting qBittorrent AI Agent in CLI mode...")
    agent = create_agent()
    
    while True:
        user_input = input("\nEnter your question (or 'quit' to exit): ")
        if user_input.lower() in ['quit', 'exit']:
            break
        try:
            response = agent.run(user_input)
            print(response)
        except Exception as e:
            print(f"Error: {str(e)}")

if __name__ == "__main__":
    # Use main() for Gradio interface or cli_main() for command-line interface
    main()
    # Uncomment the line below to use CLI instead
    # cli_main()