Update app.py

app.py

@@ -4,13 +4,20 @@ import spacy
 import matplotlib.pyplot as plt
 from transformers import pipeline
 import random
+import subprocess
+
+# Ensure 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 NLP models
 nltk.download("vader_lexicon")
 from nltk.sentiment import SentimentIntensityAnalyzer
 sia = SentimentIntensityAnalyzer()
 
-nlp = spacy.load("en_core_web_sm")
 emotion_pipeline = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
 
 # Sample texts