Update app.py

app.py

@@ -5,6 +5,8 @@ import torch
 import nltk
 from nltk.corpus import wordnet
 import spacy
+import subprocess
+
 from gensim.models import KeyedVectors
 from gensim import downloader as api
 from nltk.tokenize import word_tokenize
@@ -12,10 +14,14 @@ from nltk.tokenize import word_tokenize
 # Download NLTK data (if not already downloaded)
 nltk.download('punkt')
 nltk.download('stopwords')
-nltk.download('wordnet')  # Download WordNet
 
-# Load spaCy model
-nlp = spacy.load("en_core_web_sm")
+
+# Ensure the spaCy model is installed
+try:
+    nlp = spacy.load("en_core_web_sm")
+except OSError:
+    subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"])
+    nlp = spacy.load("en_core_web_sm")
 
 # Load a smaller Word2Vec model from Gensim's pre-trained models
 word_vectors = api.load("glove-wiki-gigaword-50")