| import streamlit as st | |
| from datasets import load_dataset | |
| dataset_dict = load_dataset("HUPD/hupd",streaming=True, train_filing_start_date='2016-01-01',train_filing_end_date='2016-01-31',val_filing_start_date='2017-01-01',val_filing_end_date='2017-01-31') | |
| 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) | |