import os
from pathlib import Path
import dotenv
from sys import platform
from nostr_dvm.bot import Bot
from nostr_dvm.tasks import videogeneration_replicate_svd, imagegeneration_replicate_sdxl, textgeneration_llmlite, \
discovery_trending_notes_nostrband, discovery_inactive_follows, translation_google, textextraction_pdf, \
translation_libretranslate, textextraction_google, convert_media, imagegeneration_openai_dalle, texttospeech, \
imagegeneration_sd21_mlx, advanced_search, textgeneration_huggingchat, summarization_huggingchat, \
discovery_nonfollowers, search_users
from nostr_dvm.utils.admin_utils import AdminConfig
from nostr_dvm.utils.backend_utils import keep_alive
from nostr_dvm.utils.definitions import EventDefinitions
from nostr_dvm.utils.dvmconfig import DVMConfig
from nostr_dvm.utils.external_dvm_utils import build_external_dvm
from nostr_dvm.utils.nostr_utils import check_and_set_private_key
from nostr_dvm.utils.output_utils import PostProcessFunctionType
from nostr_dvm.utils.zap_utils import check_and_set_ln_bits_keys
from nostr_sdk import Keys
def playground():
# 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 = check_and_set_private_key("bot")
npub = Keys.parse(bot_config.PRIVATE_KEY).public_key().to_bech32()
invoice_key, admin_key, wallet_id, user_id, lnaddress = check_and_set_ln_bits_keys("bot", npub)
bot_config.LNBITS_INVOICE_KEY = invoice_key
bot_config.LNBITS_ADMIN_KEY = admin_key # The dvm might pay failed jobs back
bot_config.LNBITS_URL = os.getenv("LNBITS_HOST")
# Generate an optional Admin Config, in this case, whenever we give our DVMs this config, they will (re)broadcast
# their NIP89 announcement
# You can create individual admins configs and hand them over when initializing the dvm,
# for example to whilelist users or add to their balance.
# If you use this global config, options will be set for all dvms that use it.
admin_config = AdminConfig()
admin_config.REBROADCAST_NIP89 = False
admin_config.LUD16 = lnaddress
# Set rebroadcast to true once you have set your NIP89 descriptions and d tags. You only need to rebroadcast once you
# want to update your NIP89 descriptions
# Update the DVMs (not the bot) profile. For example after you updated the NIP89 or the lnaddress, you can automatically update profiles here.
admin_config.UPDATE_PROFILE = False
# 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 = textextraction_pdf.build_example("PDF Extractor", "pdf_extractor", admin_config)
# 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 TranslationGoogle, calling the free Google API.
translator = translation_google.build_example("Google Translator", "google_translator", admin_config)
bot_config.SUPPORTED_DVMS.append(translator) # We add translator to the bot
translator.run()
# Spawn DVM3 Kind 5002 Local Text TranslationLibre, calling the free LibreTranslateApi, as an alternative.
# This will only run and appear on the bot if an endpoint is set in the .env
if os.getenv("LIBRE_TRANSLATE_ENDPOINT") is not None and os.getenv("LIBRE_TRANSLATE_ENDPOINT") != "":
libre_translator = translation_libretranslate.build_example("Libre Translator", "libre_translator",
admin_config)
bot_config.SUPPORTED_DVMS.append(libre_translator) # We add translator to the bot
libre_translator.run()
# Spawn DVM4, 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 = imagegeneration_openai_dalle.build_example("Dall-E 3", "dalle3", admin_config)
bot_config.SUPPORTED_DVMS.append(dalle)
dalle.run()
if os.getenv("REPLICATE_API_TOKEN") is not None and os.getenv("REPLICATE_API_TOKEN") != "":
sdxlreplicate = imagegeneration_replicate_sdxl.build_example("Stable Diffusion XL", "replicate_sdxl",
admin_config)
bot_config.SUPPORTED_DVMS.append(sdxlreplicate)
sdxlreplicate.run()
if os.getenv("REPLICATE_API_TOKEN") is not None and os.getenv("REPLICATE_API_TOKEN") != "":
svdreplicate = videogeneration_replicate_svd.build_example("Stable Video Diffusion", "replicate_svd",
admin_config)
bot_config.SUPPORTED_DVMS.append(svdreplicate)
svdreplicate.run()
# Let's define a function so we can add external DVMs to our bot, we will instanciate it afterwards
# Spawn DVM5.. oh wait, actually we don't spawn a new DVM, we use the dvmtaskinterface to define an external dvm by providing some info about it, such as
# their pubkey, a name, task, kind etc. (unencrypted)
tasktiger_external = build_external_dvm(pubkey="d483935d6bfcef3645195c04c97bbb70aedb6e65665c5ea83e562ca3c7acb978",
task="text-to-image",
kind=EventDefinitions.KIND_NIP90_GENERATE_IMAGE,
fix_cost=80, per_unit_cost=0, config=bot_config)
bot_config.SUPPORTED_DVMS.append(tasktiger_external)
# Don't run it, it's on someone else's machine, and we simply make the bot aware of it.
# DVM: 6 Another external dvm for recommendations:
ymhm_external = build_external_dvm(pubkey="6b37d5dc88c1cbd32d75b713f6d4c2f7766276f51c9337af9d32c8d715cc1b93",
task="content-discovery",
kind=EventDefinitions.KIND_NIP90_CONTENT_DISCOVERY,
fix_cost=0, per_unit_cost=0,
external_post_process=PostProcessFunctionType.LIST_TO_EVENTS, config=bot_config)
# If we get back a list of people or events, we can post-process it to make it readable in social clients
bot_config.SUPPORTED_DVMS.append(ymhm_external)
# Spawn DVM 7 Find inactive followers
googleextractor = textextraction_google.build_example("Extractor", "speech_recognition",
admin_config)
bot_config.SUPPORTED_DVMS.append(googleextractor)
googleextractor.run()
# Spawn DVM 8 A Media Grabber/Converter
media_bringer = convert_media.build_example("Media Bringer", "media_converter", admin_config)
bot_config.SUPPORTED_DVMS.append(media_bringer)
media_bringer.run()
# Spawn DVM9 Find inactive followers
discover_inactive = discovery_inactive_follows.build_example("Bygones", "discovery_inactive_follows",
admin_config)
bot_config.SUPPORTED_DVMS.append(discover_inactive)
discover_inactive.run()
discover_nonfollowers = discovery_nonfollowers.build_example("Not Refollowing", "discovery_non_followers",
admin_config)
bot_config.SUPPORTED_DVMS.append(discover_nonfollowers)
discover_nonfollowers.run()
trending = discovery_trending_notes_nostrband.build_example("Trending Notes on nostr.band", "trending_notes_nostrband",
admin_config)
bot_config.SUPPORTED_DVMS.append(trending)
trending.run()
ollama = textgeneration_llmlite.build_example("LLM", "llmlite", admin_config)
bot_config.SUPPORTED_DVMS.append(ollama)
ollama.run()
tts = texttospeech.build_example("Text To Speech Test", "tts", admin_config)
bot_config.SUPPORTED_DVMS.append(tts)
tts.run()
search = advanced_search.build_example("Advanced Search", "discovery_content_search", admin_config)
bot_config.SUPPORTED_DVMS.append(search)
search.run()
profile_search = search_users.build_example("Profile Searcher", "profile_search", admin_config)
bot_config.SUPPORTED_DVMS.append(profile_search)
profile_search.run()
inactive = discovery_inactive_follows.build_example("Inactive People you follow", "discovery_inactive_follows",
admin_config)
bot_config.SUPPORTED_DVMS.append(inactive)
inactive.run()
if platform == "darwin":
# Test with MLX for OSX M1/M2/M3 chips
mlx = imagegeneration_sd21_mlx.build_example("SD with MLX", "mlx_sd", admin_config)
bot_config.SUPPORTED_DVMS.append(mlx)
mlx.run()
if os.getenv("HUGGINGFACE_EMAIL") is not None and os.getenv("HUGGINGFACE_EMAIL") != "":
hugginchat = textgeneration_huggingchat.build_example("Huggingchat", "huggingchat", admin_config)
bot_config.SUPPORTED_DVMS.append(hugginchat)
hugginchat.run()
hugginchatsum = summarization_huggingchat.build_example("Huggingchat Summarizer", "huggingchatsum",
admin_config)
bot_config.SUPPORTED_DVMS.append(hugginchatsum)
hugginchatsum.run()
# Run the bot
Bot(bot_config)
# Keep the main function alive for libraries that require it, like openai
keep_alive()
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()