Create nlp.py

mcp/nlp.py

@@ -0,0 +1,14 @@
+# mcp/nlp.py
+
+import spacy
+
+try:
+    nlp = spacy.load("en_core_sci_sm")
+except Exception:
+    nlp = spacy.load("en_core_web_sm")  # Fallback to general English
+
+def extract_keywords(text: str):
+    """Extract biomedical entities and drugs from text."""
+    doc = nlp(text)
+    keywords = list(set(ent.text for ent in doc.ents if len(ent.text) > 2))
+    return keywords