import json import json import os from pathlib import Path import dotenv from nostr_sdk import LogLevel, init_logger from nostr_dvm.tasks.imagegeneration_openai_dalle import ImageGenerationDALLE from nostr_dvm.utils.admin_utils import AdminConfig from nostr_dvm.utils.dvmconfig import build_default_config from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag from nostr_dvm.utils.zap_utils import get_price_per_sat rebroadcast_NIP89 = False # Announce NIP89 on startup Only do this if you know what you're doing. rebroadcast_NIP65_Relay_List = False update_profile = False use_logger = True log_level = LogLevel.ERROR if use_logger: init_logger(log_level) def build_dalle(name, identifier): dvm_config = build_default_config(identifier) dvm_config.NEW_USER_BALANCE = 0 dvm_config.USE_OWN_VENV = False dvm_config.ENABLE_NUTZAP = True profit_in_sats = 10 dvm_config.FIX_COST = int(((4.0 / (get_price_per_sat("USD") * 100)) + profit_in_sats)) nip89info = { "name": name, "picture": "https://image.nostr.build/22f2267ca9d4ee9d5e8a0c7818a9fa325bbbcdac5573a60a2d163e699bb69923.jpg", "about": "I create Images bridging OpenAI's DALLĀ·E 3", "supportsEncryption": True, "acceptsNutZaps": dvm_config.ENABLE_NUTZAP, "nip90Params": { "size": { "required": False, "values": ["1024:1024", "1024x1792", "1792x1024"] } } } nip89config = NIP89Config() nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"]) nip89config.CONTENT = json.dumps(nip89info) aconfig = AdminConfig() aconfig.REBROADCAST_NIP89 = False # We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89 aconfig.LUD16 = dvm_config.LN_ADDRESS aconfig.PRIVKEY = dvm_config.PRIVATE_KEY aconfig.MELT_ON_STARTUP = False # set this to true to melt cashu tokens to our ln address on startup return ImageGenerationDALLE(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=aconfig) def playground(): if os.getenv("OPENAI_API_KEY") is not None and os.getenv("OPENAI_API_KEY") != "": dalle = build_dalle("Dall-E 3", "dalle3") dalle.run(True) if __name__ == '__main__': env_path = Path('.env') if not env_path.is_file(): with open('.env', 'w') as f: print("Writing new .env file") f.write('') 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} ') playground()