mirror of
https://github.com/believethehype/nostrdvm.git
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146 lines
5.1 KiB
Python
146 lines
5.1 KiB
Python
import json
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import os
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from multiprocessing.pool import ThreadPool
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from nostr_sdk import Kind
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from nostr_dvm.backends.discover.utils import check_server_status, send_request_to_server
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from nostr_dvm.interfaces.dvmtaskinterface import DVMTaskInterface, process_venv
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from nostr_dvm.utils.admin_utils import AdminConfig
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from nostr_dvm.utils.definitions import EventDefinitions
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from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config
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from nostr_dvm.utils.nip88_utils import NIP88Config
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from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
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"""
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This File contains a Module to extract a prompt from an image from an url.
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Accepted Inputs: link to image (url)
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Outputs: An textual description of the image
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"""
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class ImageInterrogator(DVMTaskInterface):
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KIND: Kind = EventDefinitions.KIND_NIP90_EXTRACT_TEXT
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TASK: str = "image-to-text"
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FIX_COST: float = 80
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async def init_dvm(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, nip88config: NIP88Config = None,
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admin_config: AdminConfig = None, options=None):
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dvm_config.SCRIPT = os.path.abspath(__file__)
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async def is_input_supported(self, tags, client=None, dvm_config=None):
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hasurl = False
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for tag in tags:
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if tag.as_vec()[0] == 'i':
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input_value = tag.as_vec()[1]
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input_type = tag.as_vec()[2]
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if input_type == "url":
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hasurl = True
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if not hasurl:
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return False
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return True
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async def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
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request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")}
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request_form["trainerFilePath"] = r'modules\image_interrogator\image_interrogator.trainer'
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url = ""
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method = "prompt"
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mode = "best"
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for tag in event.tags().to_vec():
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if tag.as_vec()[0] == 'i':
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input_type = tag.as_vec()[2]
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if input_type == "url":
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url = tag.as_vec()[1]
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elif tag.as_vec()[0] == 'param':
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print("Param: " + tag.as_vec()[1] + ": " + tag.as_vec()[2])
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if tag.as_vec()[1] == "method":
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method = tag.as_vec()[2]
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elif tag.as_vec()[1] == "mode":
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mode = tag.as_vec()[2]
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io_input_image = {
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"id": "input_image",
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"type": "input",
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"src": "url:Image",
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"uri": url
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}
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io_output = {
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"id": "output",
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"type": "output",
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"src": "request:text"
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}
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request_form['data'] = json.dumps([io_input_image, io_output])
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options = {
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"kind": method,
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"mode": mode
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}
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request_form['options'] = json.dumps(options)
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return request_form
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async def process(self, request_form):
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try:
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# Call the process route of NOVA-Server with our request form.
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response = send_request_to_server(request_form, self.options['server'])
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if bool(json.loads(response)['success']):
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print("Job " + request_form['jobID'] + " sent to server")
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pool = ThreadPool(processes=1)
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thread = pool.apply_async(check_server_status, (request_form['jobID'], self.options['server']))
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print("Wait for results of server...")
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result = thread.get()
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return result
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except Exception as e:
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raise Exception(e)
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# We build an example here that we can call by either calling this file directly from the main directory,
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# or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the
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# playground or elsewhere
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def build_example(name, identifier, admin_config, server_address):
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dvm_config = build_default_config(identifier)
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dvm_config.USE_OWN_VENV = False
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admin_config.LUD16 = dvm_config.LN_ADDRESS
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nip89info = {
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"name": name,
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"picture": "https://image.nostr.build/229c14e440895da30de77b3ca145d66d4b04efb4027ba3c44ca147eecde891f1.jpg",
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"about": "I analyse Images an return a prompt or a prompt analysis",
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"supportsEncryption": True,
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"acceptsNutZaps": dvm_config.ENABLE_NUTZAP,
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"nip90Params": {
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"method": {
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"required": False,
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"values": ["prompt", "analysis"]
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},
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"mode": {
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"required": False,
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"values": ["best", "classic", "fast", "negative"]
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}
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}
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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 server
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options = {'server': server_address}
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nip89config = NIP89Config()
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nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"])
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nip89config.CONTENT = json.dumps(nip89info)
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return ImageInterrogator(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config, options=options)
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if __name__ == '__main__':
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process_venv(ImageInterrogator)
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