Update app.py

app.py

@@ -1,5 +1,3 @@
-# app.py
-
 import re
 import nltk
 import spacy
@@ -7,13 +5,20 @@ import fitz  # PyMuPDF
 from transformers import pipeline
 import textwrap
 import gradio as gr
+import spacy
+
+
 
 # Download NLTK punkt if not already done
 nltk.download('punkt')
 
 # Load spaCy model
-nlp = spacy.load("en_core_web_sm")
-
+try:
+    nlp = spacy.load("en_core_web_sm")
+except Exception as e:
+    spacy.cli.download("en_core_web_sm")
+    nlp = spacy.load("en_core_web_sm")
+    
 # Initialize the BigBird-Pegasus summarization pipeline for PubMed texts
 summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-pubmed")