Revert the code

app.py

@@ -1,10 +1,7 @@
 from transformers import AutoTokenizer
 from transformers import AutoModelForSequenceClassification
-import spacy
 import gradio as gr
 
-spacy.cli.download("en_core_web_lg")
-nlp = spacy.load("en_core_web_lg")
 model_name = "biodatlab/score-claim-identification"
 tokenizer_name = "allenai/scibert_scivocab_uncased"
 
@@ -19,7 +16,7 @@ def inference(abstract: str):
     if abstract.strip() == "":
         return "Please provide an abstract as an input."
     claims = []
-    sents = [sent.text for sent in nlp(abstract).sents]  # abstract to sentences
+    sents = abstract.split(". ")  # abstract to sentences
     inputs = tokenizer(
         sents,
         return_tensors="pt",