Update app.py

app.py

@@ -1,14 +1,9 @@
 import streamlit as st
 import re
-import spacy
-
-# Load the spaCy English model
-nlp = spacy.load("en_core_web_sm")
 
 def extract_entities(text):
-    # Using spaCy for Named Entity Recognition (NER) to extract names
-    doc = nlp(text)
-    names = [ent.text for ent in doc.ents if ent.label_ == "PERSON"]
+    # Using regex to find names
+    names = re.findall(r'\b[A-Z][a-z]+ [A-Z][a-z]+\b', text)
 
     # Using regex to find Pakistani phone numbers
     phone_numbers = re.findall(r'\+\d{2,3}\d{9,12}\b', text)