import streamlit as st import pandas as pd from st_aggrid import AgGrid from st_aggrid.grid_options_builder import GridOptionsBuilder from st_aggrid.shared import JsCode from download import download_button from st_aggrid import GridUpdateMode, DataReturnMode # Page config is set once with icon title and display style. Wide mode since we want screen real estate for wide CSV files st.set_page_config(page_icon="๐Ÿ“", page_title="๐Ÿ“CSV Data Analyzer๐Ÿ“Š", layout="wide") # Style def _max_width_(): max_width_str = f"max-width: 1800px;" st.markdown( f""" """, unsafe_allow_html=True, ) # Title Bar with Images and Icons col1, col2, col3 = st.columns([1,6,1]) with col1: st.image("https://cdnb.artstation.com/p/assets/images/images/054/910/875/large/aaron-wacker-cyberpunk-computer-brain-design.jpg?1665656558",width=80,) with col2: st.title("๐Ÿ“ CSV Data Analyzer ๐Ÿ“Š") with col3: st.image("https://cdna.artstation.com/p/assets/images/images/054/910/878/large/aaron-wacker-cyberpunk-computer-devices-iot.jpg?1665656564",width=80,) # Upload c29, c30, c31 = st.columns([1, 6, 1]) with c30: uploaded_file = st.file_uploader("", key="1", help="To activate 'wide mode', go to the menu > Settings > turn on 'wide mode'",) if uploaded_file is not None: file_container = st.expander("Check your uploaded .csv") shows = pd.read_csv(uploaded_file) uploaded_file.seek(0) file_container.write(shows) else: st.info(f"""โฌ†๏ธUpload a ๐Ÿ“.CSV file. Examples: [Chatbot](https://huggingface.co/datasets/awacke1/Carddata.csv) [Mindfulness](https://huggingface.co/datasets/awacke1/MindfulStory.csv) [Wikipedia](https://huggingface.co/datasets/awacke1/WikipediaSearch)""") st.stop() # DisplayGrid gb = GridOptionsBuilder.from_dataframe(shows) gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True) gb.configure_selection(selection_mode="multiple", use_checkbox=True) gb.configure_side_bar() gridOptions = gb.build() st.success(f"""๐Ÿ’ก Tip! Hold shift key when selecting rows to select multiple rows at once.""") response = AgGrid( shows, gridOptions=gridOptions, enable_enterprise_modules=True, update_mode=GridUpdateMode.MODEL_CHANGED, data_return_mode=DataReturnMode.FILTERED_AND_SORTED, fit_columns_on_grid_load=False, ) # Filters df = pd.DataFrame(response["selected_rows"]) st.subheader("Filtered data will appear below ๐Ÿ“Š ") st.text("") st.table(df) st.text("") # Download c29, c30, c31 = st.columns([1, 1, 2]) with c29: CSVButton = download_button(df,"Dataset.csv","Download CSV file",) with c30: CSVButton = download_button(df,"Dataset.txt","Download TXT file",)