import json import os from multiprocessing.pool import ThreadPool from pathlib import Path import dotenv from backends.nserver.utils import check_server_status, send_request_to_server from interfaces.dvmtaskinterface import DVMTaskInterface from utils.admin_utils import AdminConfig from utils.backend_utils import keep_alive from utils.dvmconfig import DVMConfig from utils.nip89_utils import NIP89Config, check_and_set_d_tag from utils.definitions import EventDefinitions from utils.nostr_utils import check_and_set_private_key from utils.zap_utils import check_and_set_ln_bits_keys from nostr_sdk import Keys """ This File contains a Module to extract a prompt from an image from an url. Accepted Inputs: link to image (url) Outputs: An textual description of the image """ class ImageInterrogator(DVMTaskInterface): KIND: int = EventDefinitions.KIND_NIP90_EXTRACT_TEXT TASK: str = "image-to-text" FIX_COST: float = 80 def __init__(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, admin_config: AdminConfig = None, options=None): super().__init__(name, dvm_config, nip89config, admin_config, options) def is_input_supported(self, tags): hasurl = False for tag in tags: if tag.as_vec()[0] == 'i': input_value = tag.as_vec()[1] input_type = tag.as_vec()[2] if input_type == "url": hasurl = True if not hasurl: return False return True def create_request_from_nostr_event(self, event, client=None, dvm_config=None): request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")} request_form["trainerFilePath"] = r'modules\image_interrogator\image_interrogator.trainer' url = "" method = "prompt" mode = "best" for tag in event.tags(): if tag.as_vec()[0] == 'i': input_type = tag.as_vec()[2] if input_type == "url": url = tag.as_vec()[1] elif tag.as_vec()[0] == 'param': print("Param: " + tag.as_vec()[1] + ": " + tag.as_vec()[2]) if tag.as_vec()[1] == "method": method = tag.as_vec()[2] elif tag.as_vec()[1] == "mode": mode = tag.as_vec()[2] io_input_image = { "id": "input_image", "type": "input", "src": "url:Image", "uri": url } io_output = { "id": "output", "type": "output", "src": "request:text" } request_form['data'] = json.dumps([io_input_image, io_output]) options = { "kind": method, "mode": mode } request_form['options'] = json.dumps(options) return request_form def process(self, request_form): try: # Call the process route of NOVA-Server with our request form. response = send_request_to_server(request_form, self.options['server']) if bool(json.loads(response)['success']): print("Job " + request_form['jobID'] + " sent to server") pool = ThreadPool(processes=1) thread = pool.apply_async(check_server_status, (request_form['jobID'], self.options['server'])) print("Wait for results of server...") result = thread.get() return result except Exception as e: raise Exception(e) # We build an example here that we can call by either calling this file directly from the main directory, # or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the # playground or elsewhere def build_example(name, identifier, admin_config, server_address): dvm_config = DVMConfig() dvm_config.PRIVATE_KEY = check_and_set_private_key(identifier) npub = Keys.from_sk_str(dvm_config.PRIVATE_KEY).public_key().to_bech32() invoice_key, admin_key, wallet_id, user_id, lnaddress = check_and_set_ln_bits_keys(identifier, npub) dvm_config.LNBITS_INVOICE_KEY = invoice_key dvm_config.LNBITS_ADMIN_KEY = admin_key # The dvm might pay failed jobs back dvm_config.LNBITS_URL = os.getenv("LNBITS_HOST") admin_config.LUD16 = lnaddress nip90params = { "method": { "required": False, "values": ["prompt", "analysis"] }, "mode": { "required": False, "values": ["best", "classic", "fast", "negative"] } } nip89info = { "name": name, "image": "https://image.nostr.build/229c14e440895da30de77b3ca145d66d4b04efb4027ba3c44ca147eecde891f1.jpg", "about": "I analyse Images an return a prompt or a prompt analysis", "encryptionSupported": True, "cashuAccepted": True, "nip90Params": nip90params } # A module might have options it can be initialized with, here we set a default model, lora and the server options = {'server': server_address} nip89config = NIP89Config() nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"]) nip89config.CONTENT = json.dumps(nip89info) # We add an optional AdminConfig for this one, and tell the dvm to rebroadcast its NIP89 return ImageInterrogator(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config, options=options) 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} ') admin_config = AdminConfig() admin_config.REBROADCAST_NIP89 = False admin_config.UPDATE_PROFILE = False dvm = build_example("Image Interrogator", "imageinterrogator", admin_config, os.getenv("N_SERVER")) dvm.run() keep_alive()