Update app.py

app.py

@@ -1,11 +1,6 @@
 import streamlit as st
 from PIL import Image
 from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer
-from streamlit_extras.app_logo import add_logo
-
-def logo():
-	add_logo("vocali_logo.jpeg", height=300)
-	
 
 def get_result_text_es_pt (list_entity, text, lang):
     result_words = []
@@ -103,7 +98,6 @@ def get_result_text_ca (list_entity, text):
 
 if __name__ == "__main__":
 
-    logo()
     st.title('Sanivert Punctuation And Capitalization Restoration')
     model_es = AutoModelForTokenClassification.from_pretrained("VOCALINLP/spanish_capitalization_punctuation_restoration_sanivert")
     tokenizer_es = AutoTokenizer.from_pretrained("VOCALINLP/spanish_capitalization_punctuation_restoration_sanivert")
@@ -116,7 +110,9 @@ if __name__ == "__main__":
     model_pt = AutoModelForTokenClassification.from_pretrained("VOCALINLP/portuguese_capitalization_punctuation_restoration_sanivert")
     tokenizer_pt = AutoTokenizer.from_pretrained("VOCALINLP/portuguese_capitalization_punctuation_restoration_sanivert")
     pipe_pt = pipeline("token-classification", model=model_ca, tokenizer=tokenizer_ca)
-	
+
+    st.sidebar.image("vocali_logo.jpg")
+    
     input_text = st.selectbox(
       label = "Choose an language",
       options = ["Spanish", "Portuguese", "Catalan"]