Update app.py

app.py

@@ -6,6 +6,7 @@ import os
 
 model = AutoModelForSequenceClassification.from_pretrained("Reem333/Citaion-Classifier")
 tokenizer = AutoTokenizer.from_pretrained("allenai/longformer-base-4096")
+
 def extract_text_from_pdf(file_path):
     text = ''
     with fitz.open(file_path) as pdf_document:
@@ -50,7 +51,7 @@ with st.sidebar:
     st.markdown("## About")
     st.markdown('''
     This is a tool to classify paper citations into different levels based on their number of citations.
-    Powered by Fine-Tuned [Longformer model](https://huggingface.co/Reem333/LongFormer-Paper-Citaion-Classifier) with custom data.
+    Powered by Fine-Tuned [Longformer model](https://huggingface.co/Reem333/Citaion-Classifier) with custom data.
     ''')
     st.markdown("### Class Levels:")
     st.markdown("- Level 1: Highly cited papers")
@@ -129,4 +130,4 @@ elif option == "PDF":
                                         unsafe_allow_html=True
                                     )
                                 else:
-                                    st.text(label)
+                                    st.text(label)