awacke1 commited on
Commit
eba54ac
·
1 Parent(s): e3c3257

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -27
app.py CHANGED
@@ -8,7 +8,7 @@ from st_aggrid.shared import JsCode
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  ###################################
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- from functionforDownloadButtons import download_button
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  ###################################
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@@ -28,37 +28,12 @@ def _max_width_():
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  st.set_page_config(page_icon="✂️", page_title="CSV Wrangler")
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- # st.image("https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/285/balloon_1f388.png", width=100)
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  st.image(
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  "https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/285/scissors_2702-fe0f.png",
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  width=100,
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  )
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- st.title("CSV Wrangler")
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-
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- # st.caption(
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- # "PRD : TBC | Streamlit Ag-Grid from Pablo Fonseca: https://pypi.org/project/streamlit-aggrid/"
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- # )
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-
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-
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- # ModelType = st.radio(
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- # "Choose your model",
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- # ["Flair", "DistilBERT (Default)"],
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- # help="At present, you can choose between 2 models (Flair or DistilBERT) to embed your text. More to come!",
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- # )
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-
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- # with st.expander("ToDo's", expanded=False):
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- # st.markdown(
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- # """
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- # - Add pandas.json_normalize() - https://streamlit.slack.com/archives/D02CQ5Z5GHG/p1633102204005500
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- # - **Remove 200 MB limit and test with larger CSVs**. Currently, the content is embedded in base64 format, so we may end up with a large HTML file for the browser to render
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- # - **Add an encoding selector** (to cater for a wider array of encoding types)
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- # - **Expand accepted file types** (currently only .csv can be imported. Could expand to .xlsx, .txt & more)
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- # - Add the ability to convert to pivot → filter → export wrangled output (Pablo is due to change AgGrid to allow export of pivoted/grouped data)
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- # """
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- # )
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- #
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- # st.text("")
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  c29, c30, c31 = st.columns([1, 6, 1])
 
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  ###################################
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+ from download import download_button
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  ###################################
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  st.set_page_config(page_icon="✂️", page_title="CSV Wrangler")
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  st.image(
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  "https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/285/scissors_2702-fe0f.png",
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  width=100,
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  )
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+ st.title("CSV Dataset Analyzer")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  c29, c30, c31 = st.columns([1, 6, 1])