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5fe5d9b
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  1. README.txt +13 -0
  2. app.py +83 -0
  3. download.py +139 -0
  4. requirements.txt +3 -0
README.txt ADDED
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+ ---
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+ title: 🧠CSV Dataset Analyzer📈Streamlit
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+ emoji: 📈🧠
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+ colorFrom: yellow
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+ colorTo: purple
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+ sdk: streamlit
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+ sdk_version: 1.10.0
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import streamlit as st
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+ import pandas as pd
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+ import traceback
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+ import sys
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+
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+ from st_aggrid import AgGrid
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+ from st_aggrid.grid_options_builder import GridOptionsBuilder
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+ from st_aggrid.shared import JsCode
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+ from download import download_button
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+ from st_aggrid import GridUpdateMode, DataReturnMode
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+
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+ # Page config is set once with icon title and display style. Wide mode since we want screen real estate for wide CSV files
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+ st.set_page_config(page_icon="📝", page_title="📝CSV Data Analyzer📊", layout="wide")
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+
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+ # Style
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+ def _max_width_():
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+ max_width_str = f"max-width: 1800px;"
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+ st.markdown(
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+ f"""
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+ <style>
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+ .reportview-container .main .block-container{{
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+ {max_width_str}
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+ }}
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+ </style>
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+ """,
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+ unsafe_allow_html=True,
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+ )
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+
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+ # Title Bar with Images and Icons
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+ col1, col2, col3 = st.columns([1,6,1])
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+ with col1:
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+ st.image("https://cdnb.artstation.com/p/assets/images/images/054/910/875/large/aaron-wacker-cyberpunk-computer-brain-design.jpg?1665656558",width=128,)
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+ with col2:
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+ st.title("📝 CSV Data Analyzer 📊")
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+ with col3:
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+ st.image("https://cdna.artstation.com/p/assets/images/images/054/910/878/large/aaron-wacker-cyberpunk-computer-devices-iot.jpg?1665656564",width=128,)
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+
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+ # Upload
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+ c29, c30, c31 = st.columns([1, 6, 1])
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+ with c30:
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+ uploaded_file = st.file_uploader("", key="1", help="To activate 'wide mode', go to the menu > Settings > turn on 'wide mode'",)
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+ if uploaded_file is not None:
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+ file_container = st.expander("Check your uploaded .csv")
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+ #try:
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+ shows = pd.read_csv(uploaded_file)
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+ #except:
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+ # print(sys.exc_info()[2])
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+
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+ uploaded_file.seek(0)
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+ file_container.write(shows)
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+ else:
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+ 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)""")
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+ st.stop()
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+
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+ # DisplayGrid
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+ gb = GridOptionsBuilder.from_dataframe(shows)
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+ gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True)
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+ gb.configure_selection(selection_mode="multiple", use_checkbox=True)
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+ gb.configure_side_bar()
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+ gridOptions = gb.build()
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+ st.success(f"""💡 Tip! Hold shift key when selecting rows to select multiple rows at once.""")
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+ response = AgGrid(
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+ shows,
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+ gridOptions=gridOptions,
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+ enable_enterprise_modules=True,
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+ update_mode=GridUpdateMode.MODEL_CHANGED,
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+ data_return_mode=DataReturnMode.FILTERED_AND_SORTED,
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+ fit_columns_on_grid_load=False,
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+ )
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+
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+ # Filters
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+ df = pd.DataFrame(response["selected_rows"])
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+ st.subheader("Filtered data will appear below 📊 ")
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+ st.text("")
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+ st.table(df)
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+ st.text("")
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+
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+ # Download
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+ c29, c30, c31 = st.columns([1, 1, 2])
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+ with c29:
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+ CSVButton = download_button(df,"Dataset.csv","Download CSV file",)
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+ with c30:
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+ CSVButton = download_button(df,"Dataset.txt","Download TXT file",)
download.py ADDED
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+ import streamlit as st
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+ import pickle
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+ import pandas as pd
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+ import json
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+ import base64
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+ import uuid
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+ import re
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+
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+ import importlib.util
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+
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+
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+ def import_from_file(module_name: str, filepath: str):
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+ """
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+ Imports a module from file.
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+ Args:
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+ module_name (str): Assigned to the module's __name__ parameter (does not
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+ influence how the module is named outside of this function)
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+ filepath (str): Path to the .py file
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+ Returns:
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+ The module
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+ """
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+ spec = importlib.util.spec_from_file_location(module_name, filepath)
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+ module = importlib.util.module_from_spec(spec)
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+ spec.loader.exec_module(module)
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+ return module
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+
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+
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+ def notebook_header(text):
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+ """
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+ Insert section header into a jinja file, formatted as notebook cell.
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+ Leave 2 blank lines before the header.
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+ """
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+ return f"""# # {text}
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+ """
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+
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+
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+ def code_header(text):
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+ """
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+ Insert section header into a jinja file, formatted as Python comment.
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+ Leave 2 blank lines before the header.
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+ """
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+ seperator_len = (75 - len(text)) / 2
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+ seperator_len_left = math.floor(seperator_len)
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+ seperator_len_right = math.ceil(seperator_len)
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+ return f"# {'-' * seperator_len_left} {text} {'-' * seperator_len_right}"
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+
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+
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+ def to_notebook(code):
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+ """Converts Python code to Jupyter notebook format."""
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+ notebook = jupytext.reads(code, fmt="py")
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+ return jupytext.writes(notebook, fmt="ipynb")
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+
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+
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+ def open_link(url, new_tab=True):
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+ """Dirty hack to open a new web page with a streamlit button."""
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+ # From: https://discuss.streamlit.io/t/how-to-link-a-button-to-a-webpage/1661/3
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+ if new_tab:
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+ js = f"window.open('{url}')" # New tab or window
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+ else:
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+ js = f"window.location.href = '{url}'" # Current tab
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+ html = '<img src onerror="{}">'.format(js)
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+ div = Div(text=html)
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+ st.bokeh_chart(div)
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+
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+
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+ def download_button(object_to_download, download_filename, button_text):
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+ """
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+ Generates a link to download the given object_to_download.
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+ From: https://discuss.streamlit.io/t/a-download-button-with-custom-css/4220
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+ Params:
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+ ------
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+ object_to_download: The object to be downloaded.
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+ download_filename (str): filename and extension of file. e.g. mydata.csv,
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+ some_txt_output.txt download_link_text (str): Text to display for download
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+ link.
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+ button_text (str): Text to display on download button (e.g. 'click here to download file')
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+ pickle_it (bool): If True, pickle file.
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+ Returns:
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+ -------
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+ (str): the anchor tag to download object_to_download
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+ Examples:
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+ --------
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+ download_link(your_df, 'YOUR_DF.csv', 'Click to download data!')
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+ download_link(your_str, 'YOUR_STRING.txt', 'Click to download text!')
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+ """
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+
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+ # if:
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+ if isinstance(object_to_download, bytes):
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+ pass
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+
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+ elif isinstance(object_to_download, pd.DataFrame):
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+ object_to_download = object_to_download.to_csv(index=False)
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+ # Try JSON encode for everything else
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+ else:
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+ object_to_download = json.dumps(object_to_download)
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+
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+ try:
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+ # some strings <-> bytes conversions necessary here
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+ b64 = base64.b64encode(object_to_download.encode()).decode()
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+ except AttributeError as e:
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+ b64 = base64.b64encode(object_to_download).decode()
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+
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+ button_uuid = str(uuid.uuid4()).replace("-", "")
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+ button_id = re.sub("\d+", "", button_uuid)
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+
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+ custom_css = f"""
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+ <style>
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+ #{button_id} {{
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+ display: inline-flex;
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+ align-items: center;
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+ justify-content: center;
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+ background-color: rgb(255, 255, 255);
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+ color: rgb(38, 39, 48);
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+ padding: .25rem .75rem;
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+ position: relative;
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+ text-decoration: none;
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+ border-radius: 4px;
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+ border-width: 1px;
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+ border-style: solid;
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+ border-color: rgb(230, 234, 241);
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+ border-image: initial;
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+ }}
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+ #{button_id}:hover {{
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+ border-color: rgb(246, 51, 102);
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+ color: rgb(246, 51, 102);
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+ }}
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+ #{button_id}:active {{
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+ box-shadow: none;
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+ background-color: rgb(246, 51, 102);
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+ color: white;
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+ }}
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+ </style> """
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+
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+ dl_link = (
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+ custom_css
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+ + f'<a download="{download_filename}" id="{button_id}" href="data:file/txt;base64,{b64}">{button_text}</a><br><br>'
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+ )
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+
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+ st.markdown(dl_link, unsafe_allow_html=True)
requirements.txt ADDED
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+ streamlit
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+ streamlit-aggrid==0.2.2-2
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+ click==8