Update app.py

app.py

@@ -2,21 +2,6 @@ import streamlit as st
 from datasets import load_dataset
 import pandas as pd
 
-#dataset = load_dataset("HUPD/hupd",'sample',split='train', streaming=True)
-#for example in dataset:
-  #print(example)
-  #break
-
-#df = pd.DataFrame.from_dict(dataset_dict["train"])
-
-# Create a DataFrame object from list
-#df = pd.DataFrame(df,columns =['patent_number','decision', 'abstract', 'claims','filing_date'])
-#st.dataframe(df)
-
-
-#from datasets import load_dataset
-#dataset = load_dataset('oscar-corpus/OSCAR-2201', 'en', split='train', streaming=True)
-
 from datasets import load_dataset
 dataset_dict = load_dataset('HUPD/hupd',
     name='sample',
@@ -28,6 +13,8 @@ dataset_dict = load_dataset('HUPD/hupd',
     val_filing_end_date='2017-01-31',
 )
 
+from google.colab import data_table
+data_table.enable_dataframe_formatter()
 df = pd.DataFrame.from_dict(dataset_dict["train"])
 df = pd.DataFrame(df,columns =['patent_number','decision', 'abstract', 'claims','filing_date'])
 #st.dataframe(df)