import os import signal import sys import time from pathlib import Path from threading import Thread import dotenv from nostr_sdk import Keys from bot import Bot from playground import build_pdf_extractor, build_translator, build_unstable_diffusion, build_sketcher, build_dalle from utils.dvmconfig import DVMConfig def run_nostr_dvm_with_local_config(): # We extract the Publickey from our bot, so the DVMs know who they should listen and react to. bot_publickey = Keys.from_sk_str(os.getenv("BOT_PRIVATE_KEY")).public_key() # We will run an optional bot that can communicate with the DVMs # Note this is very basic for now and still under development bot_config = DVMConfig() bot_config.PRIVATE_KEY = os.getenv("BOT_PRIVATE_KEY") bot_config.LNBITS_INVOICE_KEY = os.getenv("LNBITS_INVOICE_KEY") bot_config.LNBITS_URL = os.getenv("LNBITS_HOST") # Spawn some DVMs in the playground and run them # You can add arbitrary DVMs there and instantiate them here # Spawn DVM1 Kind 5000: A local Text Extractor from PDFs pdfextractor = build_pdf_extractor("PDF Extractor", [bot_publickey]) # If we don't add it to the bot, the bot will not provide access to the DVM pdfextractor.run() # Spawn DVM2 Kind 5002 Local Text Translation, calling the free Google API. translator = build_translator("Translator", [bot_publickey]) bot_config.SUPPORTED_DVMS.append(translator) # We add translator to the bot translator.run() # Spawn DVM3 Kind 5100 Image Generation This one uses a specific backend called nova-server. # If you want to use it, see the instructions in backends/nova_server if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "": unstable_artist = build_unstable_diffusion("Unstable Diffusion", [bot_publickey]) bot_config.SUPPORTED_DVMS.append(unstable_artist) # We add unstable Diffusion to the bot unstable_artist.run() # Spawn DVM4, another Instance of text-to-image, as before but use a different privatekey, model and lora this time. if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "": sketcher = build_sketcher("Sketcher", [bot_publickey]) bot_config.SUPPORTED_DVMS.append(sketcher) # We also add Sketcher to the bot sketcher.run() # Spawn DVM5, this one requires an OPENAI API Key and balance with OpenAI, you will move the task to them and pay # per call. Make sure you have enough balance and the DVM's cost is set higher than what you pay yourself, except, you know, # you're being generous. if os.getenv("OPENAI_API_KEY") is not None and os.getenv("OPENAI_API_KEY") != "": dalle = build_dalle("Dall-E 3", [bot_publickey]) bot_config.SUPPORTED_DVMS.append(dalle) dalle.run() bot = Bot(bot_config) bot.run() # Keep the main function alive for libraries like openai try: while True: time.sleep(10) except KeyboardInterrupt: print('Stay weird!') os.kill(os.getpid(), signal.SIGKILL) if __name__ == '__main__': env_path = Path('.env') if env_path.is_file(): print(f'loading environment from {env_path.resolve()}') dotenv.load_dotenv(env_path, verbose=True, override=True) else: raise FileNotFoundError(f'.env file not found at {env_path} ') run_nostr_dvm_with_local_config()