fix: noun chunks

app.py

@@ -63,7 +63,7 @@ def token(text, attributes, model):
 def random_vectors(text, model):
     nlp = spacy.load(model + "_md")
     doc = nlp(text)
-    n_chunks = [chunk for chunk in doc.noun_chunks]
+    n_chunks = [chunk for chunk in doc.noun_chunks if doc.noun_chunks]
     words = [tok for tok in doc if not tok.is_stop and tok.pos_ not in [
         'PUNCT', "PROPN"]]
     str_list = n_chunks + words