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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](https://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 | |
) |