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import spacy_streamlit
from pathlib import Path
import srsly
import importlib
import random
DEFAULT_MODEL = "en_core_web_sm"
DEFAULT_TEXT = "David Bowie moved to the US in 1974, initially staying in New York City before settling in Los Angeles."
DESCRIPTION = """**Explore trained [spaCy v3.1](https://nightly.spacy.io) pipelines**"""
def get_all_models():
with open("requirements.txt") as f:
content = f.readlines()
models = []
for line in content:
if "huggingface.co" in line:
models.append(line.split("/")[4])
return models
MODELS = get_all_models()
def get_default_text(nlp):
# Check if spaCy has built-in example texts for the language
try:
examples = importlib.import_module(f".lang.{nlp.lang}.examples", "spacy")
return examples.sentences[0]
except (ModuleNotFoundError, ImportError):
return ""
spacy_streamlit.visualize(
MODELS,
default_model=DEFAULT_MODEL,
visualizers=["parser", "ner", "similarity", "tokens"],
show_visualizer_select=True,
sidebar_description=DESCRIPTION,
get_default_text=get_default_text
)