mirror of
https://github.com/believethehype/nostrdvm.git
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142 lines
5.9 KiB
Python
142 lines
5.9 KiB
Python
import json
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import os
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import re
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from nostr_sdk import Tag, Kind
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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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from nostr_dvm.utils.nostr_utils import get_referenced_event_by_id, get_events_by_ids, get_event_by_id
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"""
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This File contains a Module to generate Text, based on a prompt using the Unleashed.chat API.
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Accepted Inputs: Prompt (text)
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Outputs: Generated text
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"""
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class SummarizationDuckDuck(DVMTaskInterface):
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KIND: Kind = EventDefinitions.KIND_NIP90_SUMMARIZE_TEXT
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TASK: str = "text-to-text"
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FIX_COST: float = 10
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dependencies = [("nostr-dvm", "nostr-dvm"),
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("duck_chat", "-U https://github.com/mrgick/duckduckgo-chat-ai/archive/master.zip")]
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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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for tag in tags:
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if tag.as_vec()[0] == 'i':
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print(tag.as_vec())
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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 != "event" and input_type != "job" and input_type != "text":
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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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prompt = ""
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collect_events = []
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nostr_mode = True
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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 == "text":
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prompt += tag.as_vec()[1] + "\n"
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elif input_type == "event":
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collect_events.append(tag.as_vec()[1])
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# evt = get_event_by_id(tag.as_vec()[1], client=client, config=dvm_config)
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# prompt += evt.content() + "\n"
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elif input_type == "job":
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evt = await get_referenced_event_by_id(event_id=tag.as_vec()[1], client=client,
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kinds=[EventDefinitions.KIND_NIP90_RESULT_EXTRACT_TEXT,
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EventDefinitions.KIND_NIP90_RESULT_SUMMARIZE_TEXT,
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EventDefinitions.KIND_NIP90_RESULT_TRANSLATE_TEXT,
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EventDefinitions.KIND_NIP90_RESULT_CONTENT_DISCOVERY],
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dvm_config=dvm_config)
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if evt is None:
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print("Event not found")
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raise Exception
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if evt.kind() == EventDefinitions.KIND_NIP90_RESULT_CONTENT_DISCOVERY:
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result_list = json.loads(evt.content())
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prompt = ""
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for tag in result_list:
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e_tag = Tag.parse(tag)
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evt = await get_event_by_id(e_tag.as_vec()[1], client=client, config=dvm_config)
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prompt += evt.content() + "\n"
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else:
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prompt = evt.content()
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evts = await get_events_by_ids(collect_events, client=client, config=dvm_config)
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if evts is not None:
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for evt in evts:
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prompt += evt.content() + "\n"
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clean_prompt = re.sub(r'^https?:\/\/.*[\r\n]*', '', prompt, flags=re.MULTILINE)
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options = {
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"input": clean_prompt[:4000],
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"nostr": nostr_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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from duck_chat import DuckChat
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from duck_chat import ModelType
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options = self.set_options(request_form)
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try:
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async with DuckChat(model=ModelType.GPT4o) as chat:
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query = "Summarize the following notes by different authors: " + options["input"]
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result = await chat.ask_question(query)
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print(result)
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return result
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except Exception as e:
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print("Error in Module: " + str(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):
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dvm_config = build_default_config(identifier)
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dvm_config.SEND_FEEDBACK_EVENTS = True
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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/28da676a19841dcfa7dcf7124be6816842d14b84f6046462d2a3f1268fe58d03.png",
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"about": "I summarize Text",
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"supportsEncryption": True,
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"acceptsNutZaps": dvm_config.ENABLE_NUTZAP,
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"nip90Params": {}
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}
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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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admin_config2 = AdminConfig()
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admin_config2.REBROADCAST_NIP89 = False
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return SummarizationDuckDuck(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config2)
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if __name__ == '__main__':
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process_venv(SummarizationDuckDuck)
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