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https://github.com/believethehype/nostrdvm.git
synced 2025-10-10 20:12:40 +02:00
move examples from playground to modules
This commit is contained in:
166
main.py
166
main.py
@@ -1,21 +1,33 @@
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import json
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import os
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import signal
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import time
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from pathlib import Path
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import dotenv
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from nostr_sdk import PublicKey
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from bot.bot import Bot
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from playground import build_pdf_extractor, build_googletranslator, build_unstable_diffusion, build_sketcher, \
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build_dalle, \
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build_whisperx, build_libretranslator, build_external_dvm, build_media_converter, build_inactive_follows_finder, \
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build_image_converter, build_googletranscribe
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from interfaces.dvmtaskinterface import DVMTaskInterface
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import tasks.convert_media as convert_media
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import tasks.discovery_inactive_follows as discovery_inactive_follows
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import tasks.imagegeneration_openai_dalle as imagegeneration_openai_dalle
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import tasks.imagegeneration_sdxl as imagegeneration_sdxl
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import tasks.imagegeneration_sdxlimg2img as imagegeneration_sdxlimg2img
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import tasks.textextraction_pdf as textextraction_pdf
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import tasks.textextraction_google as textextraction_google
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import tasks.textextraction_whisperx as textextraction_whisperx
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import tasks.translation_google as translation_google
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import tasks.translation_libretranslate as translation_libretranslate
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from utils.admin_utils import AdminConfig
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from utils.backend_utils import keep_alive
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from utils.definitions import EventDefinitions
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from utils.dvmconfig import DVMConfig
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from utils.nip89_utils import NIP89Config, check_and_set_d_tag
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from utils.nostr_utils import check_and_set_private_key
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from utils.output_utils import PostProcessFunctionType
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def run_nostr_dvm_with_local_config():
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def playground():
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# We will run an optional bot that can communicate with the DVMs
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# Note this is very basic for now and still under development
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bot_config = DVMConfig()
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@@ -24,54 +36,108 @@ def run_nostr_dvm_with_local_config():
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bot_config.LNBITS_ADMIN_KEY = os.getenv("LNBITS_ADMIN_KEY") # The bot will forward zaps for us, use responsibly
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bot_config.LNBITS_URL = os.getenv("LNBITS_HOST")
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# Generate an optional Admin Config, in this case, whenever we give our DVMs this config, they will (re)broadcast
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# their NIP89 announcement
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# You can create individual admins configs and hand them over when initializing the dvm,
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# for example to whilelist users or add to their balance.
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# If you use this global config, options will be set for all dvms that use it.
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admin_config = AdminConfig()
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admin_config.REBROADCAST_NIP89 = False
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# Set rebroadcast to true once you have set your NIP89 descriptions and d tags. You only need to rebroadcast once you
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# want to update your NIP89 descriptions
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admin_config.UPDATE_PROFILE = False
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admin_config.LUD16 = ""
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# Spawn some DVMs in the playground and run them
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# You can add arbitrary DVMs there and instantiate them here
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# Spawn DVM1 Kind 5000: A local Text Extractor from PDFs
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pdfextractor = build_pdf_extractor("PDF Extractor", "pdf_extractor")
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pdfextractor = textextraction_pdf.build_example("PDF Extractor", "pdf_extractor", admin_config)
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# If we don't add it to the bot, the bot will not provide access to the DVM
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pdfextractor.run()
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# Spawn DVM2 Kind 5002 Local Text TranslationGoogle, calling the free Google API.
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translator = build_googletranslator("Google Translator", "google_translator")
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translator = translation_google.build_example("Google Translator", "google_translator", admin_config)
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bot_config.SUPPORTED_DVMS.append(translator) # We add translator to the bot
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translator.run()
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# Spawn DVM3 Kind 5002 Local Text TranslationLibre, calling the free LibreTranslateApi, as an alternative.
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# This will only run and appear on the bot if an endpoint is set in the .env
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if os.getenv("LIBRE_TRANSLATE_ENDPOINT") is not None and os.getenv("LIBRE_TRANSLATE_ENDPOINT") != "":
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libre_translator = build_libretranslator("Libre Translator", "libre_translator")
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libre_translator = translation_libretranslate.build_example("Libre Translator", "libre_translator", admin_config)
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bot_config.SUPPORTED_DVMS.append(libre_translator) # We add translator to the bot
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libre_translator.run()
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# Spawn DVM3 Kind 5100 Image Generation This one uses a specific backend called nova-server.
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# If you want to use it, see the instructions in backends/nova_server
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if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "":
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unstable_artist = build_unstable_diffusion("Unstable Diffusion", "unstable_diffusion")
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bot_config.SUPPORTED_DVMS.append(unstable_artist) # We add unstable Diffusion to the bot
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unstable_artist.run()
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stable_artist = imagegeneration_sdxl.build_example("Stable Diffusion XL", "stable_diffusion",
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admin_config, os.getenv("NOVA_SERVER"),
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"stabilityai/stable-diffusion-xl",
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"")
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bot_config.SUPPORTED_DVMS.append(stable_artist) # We add unstable Diffusion to the bot
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stable_artist.run()
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# Spawn DVM4, another Instance of text-to-image, as before but use a different privatekey, model and lora this time.
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if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "":
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sketcher = build_sketcher("Sketcher", "sketcher")
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# Let's not use one of the examples in this one, but generate our own variation of the dvm. We make a new DVM
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# called "Sketcher", with a predefined model and lora, so it will always make sketches of prompts
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def build_sketcher(name, identifier, admin_config):
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dvm_config = DVMConfig()
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dvm_config.PRIVATE_KEY = check_and_set_private_key(identifier)
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dvm_config.LNBITS_INVOICE_KEY = os.getenv("LNBITS_INVOICE_KEY")
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dvm_config.LNBITS_URL = os.getenv("LNBITS_HOST")
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nip90params = {
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"negative_prompt": {
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"required": False,
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"values": []
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},
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"ratio": {
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"required": False,
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"values": ["1:1", "4:3", "16:9", "3:4", "9:16", "10:16"]
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}
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}
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nip89info = {
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"name": name,
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"image": "https://image.nostr.build/229c14e440895da30de77b3ca145d66d4b04efb4027ba3c44ca147eecde891f1.jpg",
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"about": "I draw images based on a prompt in the style of paper sketches",
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"nip90Params": nip90params
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}
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# A module might have options it can be initialized with, here we set a default model, lora and the nova-server
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# address it should use. These parameters can be freely defined in the task component
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options = {'default_model': "mohawk", 'default_lora': "timburton", 'nova_server': os.getenv("NOVA_SERVER")}
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nip89config = NIP89Config()
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nip89config.DTAG = nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY,
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nip89info["image"])
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nip89config.CONTENT = json.dumps(nip89info)
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# We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89
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return imagegeneration_sdxl.ImageGenerationSDXL(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config, options=options)
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sketcher = build_sketcher("Sketcher", "sketcher", admin_config)
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bot_config.SUPPORTED_DVMS.append(sketcher) # We also add Sketcher to the bot
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sketcher.run()
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# Spawn DVM5, image-to-image, .
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if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "":
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imageconverter = build_image_converter("Image Converter Inkpunk", "image_converter_inkpunk")
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imageconverter = imagegeneration_sdxlimg2img.build_example("Image Converter Inkpunk",
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"image_converter_inkpunk", admin_config,
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os.getenv("NOVA_SERVER"),
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"inkpunk", 0.6)
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bot_config.SUPPORTED_DVMS.append(imageconverter) # We also add Sketcher to the bot
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imageconverter.run()
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# Spawn DVM5, Another script on nova-server calling WhisperX to transcribe media files
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if os.getenv("NOVA_SERVER") is not None and os.getenv("NOVA_SERVER") != "":
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whisperer = build_whisperx("Whisperer", "whisperx")
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whisperer = textextraction_whisperx.build_example("Whisperer", "whisperx", admin_config, os.getenv("NOVA_SERVER"))
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bot_config.SUPPORTED_DVMS.append(whisperer) # We also add Sketcher to the bot
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whisperer.run()
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transcriptor = build_googletranscribe("Transcriptor", "speech_recognition")
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transcriptor = textextraction_google.build_example("Transcriptor", "speech_recognition", admin_config)
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bot_config.SUPPORTED_DVMS.append(transcriptor) # We also add Sketcher to the bot
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transcriptor.run()
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@@ -79,56 +145,68 @@ def run_nostr_dvm_with_local_config():
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# per call. Make sure you have enough balance and the DVM's cost is set higher than what you pay yourself, except, you know,
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# you're being generous.
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if os.getenv("OPENAI_API_KEY") is not None and os.getenv("OPENAI_API_KEY") != "":
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dalle = build_dalle("Dall-E 3", "dalle3")
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dalle = imagegeneration_openai_dalle.build_example("Dall-E 3", "dalle3", admin_config)
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bot_config.SUPPORTED_DVMS.append(dalle)
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dalle.run()
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#Let's define a function so we can add external DVMs to our bot, we will instanciate it afterwards
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def build_external_dvm(name, pubkey, task, kind, fix_cost, per_unit_cost,
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external_post_process=PostProcessFunctionType.NONE):
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dvm_config = DVMConfig()
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dvm_config.PUBLIC_KEY = PublicKey.from_hex(pubkey).to_hex()
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dvm_config.FIX_COST = fix_cost
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dvm_config.PER_UNIT_COST = per_unit_cost
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dvm_config.EXTERNAL_POST_PROCESS_TYPE = external_post_process
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nip89info = {
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"name": name,
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}
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nip89config = NIP89Config()
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nip89config.KIND = kind
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nip89config.CONTENT = json.dumps(nip89info)
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interface = DVMTaskInterface(name=name, dvm_config=dvm_config, nip89config=nip89config, task=task)
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return interface
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# Spawn DVM7.. 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
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# their pubkey, a name, task, kind etc. (unencrypted)
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tasktiger_external = build_external_dvm(name="External DVM: TaskTiger",
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pubkey="d483935d6bfcef3645195c04c97bbb70aedb6e65665c5ea83e562ca3c7acb978",
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task="text-to-image",
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kind=EventDefinitions.KIND_NIP90_GENERATE_IMAGE,
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fix_cost=80, per_unit_cost=0)
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pubkey="d483935d6bfcef3645195c04c97bbb70aedb6e65665c5ea83e562ca3c7acb978",
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task="text-to-image",
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kind=EventDefinitions.KIND_NIP90_GENERATE_IMAGE,
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fix_cost=80, per_unit_cost=0)
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tasktiger_external.SUPPORTS_ENCRYPTION = False # if the dvm does not support encrypted events, just send a regular event and mark it with p tag. Other dvms might initial answer
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tasktiger_external.SUPPORTS_ENCRYPTION = False # if the dvm does not support encrypted events, just send a regular NIP90 event and mark it with p tag. Other dvms might answer initally
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bot_config.SUPPORTED_DVMS.append(tasktiger_external)
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# Don't run it, it's on someone else's machine, and we simply make the bot aware of it.
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# Spawn DVM8 A Media Grabber/Converter
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media_bringer = convert_media.build_example("Media Bringer", "media_converter", admin_config)
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bot_config.SUPPORTED_DVMS.append(media_bringer)
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media_bringer.run()
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# DVM: 8 Another external dvm for recommendations:
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# DVM: 9 Another external dvm for recommendations:
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ymhm_external = build_external_dvm(name="External DVM: You might have missed",
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pubkey="6b37d5dc88c1cbd32d75b713f6d4c2f7766276f51c9337af9d32c8d715cc1b93",
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task="content-discovery",
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kind=EventDefinitions.KIND_NIP90_CONTENT_DISCOVERY,
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fix_cost=0, per_unit_cost=0,
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external_post_process=PostProcessFunctionType.LIST_TO_EVENTS)
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# If we get back a list of people or events, we can post-process it to make it readable in social clients
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ymhm_external.SUPPORTS_ENCRYPTION = False # if the dvm does not support encrypted events, just send a regular event and mark it with p tag. Other dvms might initial answer
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ymhm_external.SUPPORTS_ENCRYPTION = False
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bot_config.SUPPORTED_DVMS.append(ymhm_external)
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# Spawn DVM9.. A Media Grabber/Converter
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media_bringer = build_media_converter("Media Bringer", "media_converter")
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bot_config.SUPPORTED_DVMS.append(media_bringer)
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media_bringer.run()
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# Spawn DVM10 Discover inactive followers
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discover_inactive = build_inactive_follows_finder("Bygones", "discovery_inactive_follows")
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# Spawn DVM10 Find inactive followers
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discover_inactive = discovery_inactive_follows.build_example("Bygones", "discovery_inactive_follows",
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admin_config)
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bot_config.SUPPORTED_DVMS.append(discover_inactive)
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discover_inactive.run()
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Bot(bot_config)
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# Keep the main function alive for libraries that require it, like openai
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try:
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while True:
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time.sleep(10)
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except KeyboardInterrupt:
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os.kill(os.getpid(), signal.SIGKILL)
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exit(1)
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keep_alive()
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if __name__ == '__main__':
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@@ -138,4 +216,4 @@ if __name__ == '__main__':
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dotenv.load_dotenv(env_path, verbose=True, override=True)
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else:
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raise FileNotFoundError(f'.env file not found at {env_path} ')
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run_nostr_dvm_with_local_config()
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playground()
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