def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
amrlib.setup_spacy_extension()
# Load/cache spacy
global SPACY_NLP
if SPACY_NLP is None:
SPACY_NLP = spacy.load('en_core_web_sm')
self.nlp = SPACY_NLP
# Load model in amrlib (amrlib will cache this itself)
global T5V2_LOADED
if T5V2_LOADED is None:
print('Loading', self.model_dir)
amrlib.load_stog_model(model_dir=self.model_dir)
T5V2_LOADED = True
self.stog = amrlib.stog_model
def testStoG(self):
stog = amrlib.load_stog_model()
graphs = stog.parse_sents(['This is a test of the system.'])
self.assertEqual(len(graphs), 1)
#!/usr/bin/python3
import setup_run_dir # run script 2 levels up
# Basic parse / generate example code
import amrlib
print('Example parsing')
stog = amrlib.load_stog_model()
graphs = stog.parse_sents(
['This is a test of the system.', 'This is a second sentence.'])
for graph in graphs:
print(graph)
print()
print('Generation Example - loading model')
gtos = amrlib.load_gtos_model()
sents, _ = gtos.generate(graphs)
for sent in sents:
print(sent)
