Update pages/about.py

pages/about.py

@@ -2,43 +2,44 @@ import streamlit as st
 import os
 
 def read_markdown(path, folder="./About/"):
-	with open(os.path.join(folder, path)) as f:
-		return f.read()
+    with open(os.path.join(folder, path)) as f:
+        return f.read()
 
 def load_page():
 
-	st.markdown(""" # T5 for Sentence Split in English """)
-	st.markdown(""" ### Sentence Split is task of dividing complex sentence in two simple sentences """)
+    st.markdown(""" # T5 for Sentence Split in English """)
+    st.markdown(""" ### Sentence Split is task of dividing complex sentence in two simple sentences """)
 
-	st.markdown(""" ## Goal """)
-	st.markdown(""" To make best sentence split model available till now """)
-	
-	st.markdown(""" ## How to use the Model """)
-	st.markdown(""" 
+    st.markdown(""" ## Goal """)
+    st.markdown(""" To make best sentence split model available till now """)
+    
+    st.markdown(""" ## How to use the Model """)
+    st.markdown(""" 
   
-	```python
-	from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-	tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-wikisplit")
-	model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-wikisplit")
+    ```python
+    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+    tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-wikisplit")
+    model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-wikisplit")
 
-	complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
-	sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
+    complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
+    sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
 
-	answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
-	gene_sentence = tokenizer.decode(answer[0], skip_special_tokens=True)
-	gene_sentence
+    answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
+    gene_sentence = tokenizer.decode(answer[0], skip_special_tokens=True)
+    gene_sentence
 
-	\"""
-	Output:
-	This comedy drama is produced by Tidy. She co-founded Tidy in 2008 with her husband David Peet, who is managing director.
-	\"""
-	
-	``` """)
-	st.markdown(read_markdown("datasets.md"))
-	st.markdown(read_markdown("applications.md"))
-	st.markdown(read_markdown("baseline.md"))
-	st.markdown(read_markdown("results.md"))
-	st.markdown(read_markdown("accomplishments.md"))
-	st.markdown(read_markdown("gitrepo.md"))
-	st.markdown(read_markdown("contributors.md"))
-	st.markdown(read_markdown("credits.md"))
+    \"""
+    Output:
+    This comedy drama is produced by Tidy. She co-founded Tidy in 2008 with her husband David Peet, who is managing director.
+    \"""
+    
+    ``` """)
+    
+    st.markdown(read_markdown("datasets.md"))
+    st.markdown(read_markdown("applications.md"))
+    #st.markdown(read_markdown("baseline.md"))
+    st.markdown(read_markdown("results.md"))
+    st.markdown(read_markdown("accomplishments.md"))
+    st.markdown(read_markdown("gitrepo.md"))
+    st.markdown(read_markdown("contributors.md"))
+    st.markdown(read_markdown("credits.md"))