| |
|
|
| import spacy |
| import subprocess |
|
|
| def load_model(): |
| try: |
| return spacy.load("en_core_sci_sm") |
| except OSError: |
| try: |
| subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"], check=True) |
| return spacy.load("en_core_web_sm") |
| except Exception as e: |
| raise RuntimeError("Failed to download spaCy model. Details: " + str(e)) |
|
|
| nlp = load_model() |
|
|
| def extract_keywords(text: str): |
| """Extract biomedical or general entities from text.""" |
| doc = nlp(text) |
| return list(set(ent.text for ent in doc.ents if len(ent.text.strip()) > 2)) |
|
|
