Upload app.py

app.py

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+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="📝", page_title="📝CSV Data Analyzer📊", layout="wide")
+
+# Style
+def _max_width_():
+    max_width_str = f"max-width: 1800px;"
+    st.markdown(
+        f"""
+    <style>
+    .reportview-container .main .block-container{{
+        {max_width_str}
+    }}
+    </style>    
+    """,
+        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("📝 CSV Data Analyzer 📊")
+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"""⬆️Upload a 📝.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"""💡 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 📊 ")
+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",)