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import base64 | |
from typing import List, Tuple | |
import streamlit as st | |
from pandas.core.frame import DataFrame | |
from PIL import Image | |
from .configs import ColumnNames, SupportedFiles | |
def get_col_indices(cols: List) -> Tuple[int, int]: | |
"""Ugly but works""" | |
cols = [i.lower() for i in cols] | |
try: | |
label_index = cols.index(ColumnNames.LABEL.value) | |
except: | |
label_index = 0 | |
try: | |
text_index = cols.index(ColumnNames.TEXT.value) | |
except: | |
text_index = 0 | |
return text_index, label_index | |
def get_logo(path: str) -> Image: | |
return Image.open(path) | |
def read_file(uploaded_file) -> DataFrame: | |
file_type = uploaded_file.name.split(".")[-1] | |
read_fn = SupportedFiles[file_type].value[0] | |
df = read_fn(uploaded_file) | |
df = df.dropna() | |
return df | |
def convert_df(df: DataFrame) -> bytes: | |
# IMPORTANT: Cache the conversion to prevent computation on every rerun | |
return df.to_csv(index=False, sep=";").encode("utf-8") | |
def download_button(dataframe: DataFrame, name: str) -> None: | |
csv = dataframe.to_csv(index=False) | |
# some strings <-> bytes conversions necessary here | |
b64 = base64.b64encode(csv.encode()).decode() | |
href = f'<a href="data:file/csv;base64,{b64}" download="{name}.csv">Download</a>' | |
st.write(href, unsafe_allow_html=True) | |