mirror of
https://github.com/believethehype/nostrdvm.git
synced 2025-11-18 21:31:41 +01:00
145 lines
5.5 KiB
Python
145 lines
5.5 KiB
Python
import json
|
|
import os
|
|
import time
|
|
from multiprocessing.pool import ThreadPool
|
|
from pathlib import Path
|
|
|
|
from backends.nova_server import check_nova_server_status, send_request_to_nova_server, send_file_to_nova_server
|
|
from interfaces.dvmtaskinterface import DVMTaskInterface
|
|
from utils.admin_utils import AdminConfig
|
|
from utils.dvmconfig import DVMConfig
|
|
from utils.mediasource_utils import organize_input_data
|
|
from utils.nip89_utils import NIP89Config
|
|
from utils.definitions import EventDefinitions
|
|
|
|
"""
|
|
This File contains a Module to transform Text input on NOVA-Server and receive results back.
|
|
|
|
Accepted Inputs: Prompt (text)
|
|
Outputs: An url to an Image
|
|
Params: -model # models: juggernaut, dynavision, colossusProject, newreality, unstable
|
|
-lora # loras (weights on top of models) voxel,
|
|
"""
|
|
|
|
|
|
class SpeechToTextWhisperX(DVMTaskInterface):
|
|
KIND: int = EventDefinitions.KIND_NIP90_EXTRACT_TEXT
|
|
TASK: str = "speech-to-text"
|
|
FIX_COST: float = 10
|
|
PER_UNIT_COST: float = 0.1
|
|
|
|
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):
|
|
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":
|
|
return False
|
|
|
|
elif tag.as_vec()[0] == 'output':
|
|
output = tag.as_vec()[1]
|
|
if (output == "" or not (output == "text/plain")):
|
|
print("Output format not supported, skipping..")
|
|
return False
|
|
|
|
return True
|
|
|
|
def create_request_form_from_nostr_event(self, event, client=None, dvm_config=None):
|
|
request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", ""),
|
|
"trainerFilePath": 'modules\\whisperx\\whisperx_transcript.trainer'}
|
|
|
|
if self.options.get("default_model"):
|
|
model = self.options['default_model']
|
|
else:
|
|
model = "base"
|
|
if self.options.get("alignment"):
|
|
alignment = self.options['alignment']
|
|
else:
|
|
alignment = "raw"
|
|
|
|
url = ""
|
|
input_type = "url"
|
|
start_time = 0
|
|
end_time = 0
|
|
|
|
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] == "alignment":
|
|
alignment = tag.as_vec()[2]
|
|
elif tag.as_vec()[1] == "model":
|
|
model = tag.as_vec()[2]
|
|
elif tag.as_vec()[1] == "range": #hui
|
|
try:
|
|
t = time.strptime(tag.as_vec()[2], "%H:%M:%S")
|
|
seconds = t.tm_hour * 60 * 60 + t.tm_min * 60 + t.tm_sec
|
|
start_time = float(seconds)
|
|
except:
|
|
try:
|
|
t = time.strptime(tag.as_vec()[2], "%M:%S")
|
|
seconds = t.tm_min * 60 + t.tm_sec
|
|
start_time = float(seconds)
|
|
except:
|
|
start_time = tag.as_vec()[2]
|
|
try:
|
|
t = time.strptime(tag.as_vec()[3], "%H:%M:%S")
|
|
seconds = t.tm_hour * 60 * 60 + t.tm_min * 60 + t.tm_sec
|
|
end_time = float(seconds)
|
|
except:
|
|
try:
|
|
t = time.strptime(tag.as_vec()[3], "%M:%S")
|
|
seconds = t.tm_min * 60 + t.tm_sec
|
|
end_time = float(seconds)
|
|
except:
|
|
end_time = float(tag.as_vec()[3])
|
|
|
|
filepath = organize_input_data(url, input_type, start_time, end_time, dvm_config, client)
|
|
pathonserver = send_file_to_nova_server(filepath, self.options['nova_server'])
|
|
|
|
io_input = {
|
|
"id": "audio",
|
|
"type": "input",
|
|
"src": "file:stream",
|
|
"uri": pathonserver
|
|
}
|
|
|
|
io_output = {
|
|
"id": "transcript",
|
|
"type": "output",
|
|
"src": "request:annotation:free"
|
|
}
|
|
|
|
request_form['data'] = json.dumps([io_input, io_output])
|
|
|
|
options = {
|
|
"model": model,
|
|
"alignment_mode": alignment,
|
|
}
|
|
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_nova_server(request_form, self.options['nova_server'])
|
|
if bool(json.loads(response)['success']):
|
|
print("Job " + request_form['jobID'] + " sent to NOVA-server")
|
|
|
|
pool = ThreadPool(processes=1)
|
|
thread = pool.apply_async(check_nova_server_status, (request_form['jobID'], self.options['nova_server']))
|
|
print("Wait for results of NOVA-Server...")
|
|
result = thread.get()
|
|
return result
|
|
|
|
except Exception as e:
|
|
raise Exception(e)
|