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README.txt

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+---
+title: 🧠CSV Dataset Analyzer📈Streamlit
+emoji: 📈🧠
+colorFrom: yellow
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.10.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+import pandas as pd
+import traceback
+import sys
+
+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=128,)
+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=128,)
+    
+# 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")
+        #try:
+        shows = pd.read_csv(uploaded_file)
+        #except:
+        #    print(sys.exc_info()[2])
+            
+        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",)

download.py

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+import streamlit as st
+import pickle
+import pandas as pd
+import json
+import base64
+import uuid
+import re
+
+import importlib.util
+
+
+def import_from_file(module_name: str, filepath: str):
+    """
+    Imports a module from file.
+    Args:
+        module_name (str): Assigned to the module's __name__ parameter (does not
+            influence how the module is named outside of this function)
+        filepath (str): Path to the .py file
+    Returns:
+        The module
+    """
+    spec = importlib.util.spec_from_file_location(module_name, filepath)
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def notebook_header(text):
+    """
+    Insert section header into a jinja file, formatted as notebook cell.
+    Leave 2 blank lines before the header.
+    """
+    return f"""# # {text}
+"""
+
+
+def code_header(text):
+    """
+    Insert section header into a jinja file, formatted as Python comment.
+    Leave 2 blank lines before the header.
+    """
+    seperator_len = (75 - len(text)) / 2
+    seperator_len_left = math.floor(seperator_len)
+    seperator_len_right = math.ceil(seperator_len)
+    return f"# {'-' * seperator_len_left} {text} {'-' * seperator_len_right}"
+
+
+def to_notebook(code):
+    """Converts Python code to Jupyter notebook format."""
+    notebook = jupytext.reads(code, fmt="py")
+    return jupytext.writes(notebook, fmt="ipynb")
+
+
+def open_link(url, new_tab=True):
+    """Dirty hack to open a new web page with a streamlit button."""
+    # From: https://discuss.streamlit.io/t/how-to-link-a-button-to-a-webpage/1661/3
+    if new_tab:
+        js = f"window.open('{url}')"  # New tab or window
+    else:
+        js = f"window.location.href = '{url}'"  # Current tab
+    html = '<img src onerror="{}">'.format(js)
+    div = Div(text=html)
+    st.bokeh_chart(div)
+
+
+def download_button(object_to_download, download_filename, button_text):
+    """
+    Generates a link to download the given object_to_download.
+    From: https://discuss.streamlit.io/t/a-download-button-with-custom-css/4220
+    Params:
+    ------
+    object_to_download:  The object to be downloaded.
+    download_filename (str): filename and extension of file. e.g. mydata.csv,
+    some_txt_output.txt download_link_text (str): Text to display for download
+    link.
+    button_text (str): Text to display on download button (e.g. 'click here to download file')
+    pickle_it (bool): If True, pickle file.
+    Returns:
+    -------
+    (str): the anchor tag to download object_to_download
+    Examples:
+    --------
+    download_link(your_df, 'YOUR_DF.csv', 'Click to download data!')
+    download_link(your_str, 'YOUR_STRING.txt', 'Click to download text!')
+    """
+
+    # if:
+    if isinstance(object_to_download, bytes):
+        pass
+
+    elif isinstance(object_to_download, pd.DataFrame):
+        object_to_download = object_to_download.to_csv(index=False)
+    # Try JSON encode for everything else
+    else:
+        object_to_download = json.dumps(object_to_download)
+
+    try:
+        # some strings <-> bytes conversions necessary here
+        b64 = base64.b64encode(object_to_download.encode()).decode()
+    except AttributeError as e:
+        b64 = base64.b64encode(object_to_download).decode()
+
+    button_uuid = str(uuid.uuid4()).replace("-", "")
+    button_id = re.sub("\d+", "", button_uuid)
+
+    custom_css = f""" 
+        <style>
+            #{button_id} {{
+                display: inline-flex;
+                align-items: center;
+                justify-content: center;
+                background-color: rgb(255, 255, 255);
+                color: rgb(38, 39, 48);
+                padding: .25rem .75rem;
+                position: relative;
+                text-decoration: none;
+                border-radius: 4px;
+                border-width: 1px;
+                border-style: solid;
+                border-color: rgb(230, 234, 241);
+                border-image: initial;
+            }} 
+            #{button_id}:hover {{
+                border-color: rgb(246, 51, 102);
+                color: rgb(246, 51, 102);
+            }}
+            #{button_id}:active {{
+                box-shadow: none;
+                background-color: rgb(246, 51, 102);
+                color: white;
+                }}
+        </style> """
+
+    dl_link = (
+        custom_css
+        + f'<a download="{download_filename}" id="{button_id}" href="data:file/txt;base64,{b64}">{button_text}</a><br><br>'
+    )
+
+    st.markdown(dl_link, unsafe_allow_html=True)

requirements.txt

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+streamlit
+streamlit-aggrid==0.2.2-2
+click==8