Update app.py

app.py

@@ -8,9 +8,10 @@ from nltk.corpus import stopwords
 import spacy
 from spacy import displacy
 from word2number import w2n
+import en_core_web_md
 nltk.download('punkt')
 nltk.download('stopwords')
-nlp = spacy.load('en_core_web_md')
+nlp = en_core_web_md.load()
 sentiment_model = pipeline("text-classification", model="AhmedTaha012/managersFeedback-V1.0.7")
 increase_decrease_model = pipeline("text-classification", model="AhmedTaha012/nextQuarter-status-V1.1.9")
 tokenizer = AutoTokenizer.from_pretrained("AhmedTaha012/finance-ner-v0.0.9-finetuned-ner")