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Upload 9 files
Browse files- .env +3 -0
- .gitattributes +0 -1
- .vscode/launch.json +20 -0
- README.md +8 -4
- app.py +65 -0
- requirements.txt +6 -0
- subs/access_backend.py +43 -0
- toml/config.prod.toml +125 -0
- toml/credentials.prod.toml +3 -0
.env
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PYTHONPATH=.
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HOST=https://dax-backend.arthought.com
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# financebackend:8000
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.gitattributes
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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.vscode/launch.json
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"module": "streamlit",
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"args": [
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"run",
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"app.py"
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],
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"console": "integratedTerminal",
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"justMyCode": true
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}
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]
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}
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README.md
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---
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title:
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emoji:
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colorFrom: pink
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colorTo:
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sdk: streamlit
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sdk_version: 1.
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Finance Dashboard
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emoji: 🦀
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colorFrom: pink
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colorTo: gray
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sdk: streamlit
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sdk_version: 1.17.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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duplicated_from: rstallman/finance-dashboard
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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The code is derived from https://github.com/hfwittmann/financial-timeseries-dashboard/tree/kedro-based
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app.py
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from datetime import date
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import json
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import plotly
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from re import sub
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from plotly import graph_objects as go
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import streamlit as st
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st.set_page_config(layout="wide")
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from subs.access_backend import get_tickerlist
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from subs.access_backend import get_plot
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tickerTable = get_tickerlist().set_index("Ticker")
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PrimeStandardSector = "Prime Standard Sector"
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sectors = tickerTable[PrimeStandardSector].unique()
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sectors.sort()
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sector = st.selectbox(
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label="Select a Sector. Remark: This sets the default for the selected stocks",
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options=sectors,
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)
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default_index = tickerTable[PrimeStandardSector] == sector
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default = tickerTable[default_index]
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selections = st.multiselect(
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label="Dax Constituents",
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options=list(tickerTable.index),
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format_func=lambda x: tickerTable.at[x, "Company"],
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default=list(default.index),
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)
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for selection in selections:
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try:
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fig_scatter = get_plot(selection, "scatter")
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fig_returns = get_plot(selection, "returns")
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fig_histogram = get_plot(selection, "histogram")
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st.header(tickerTable.at[selection, "Company"])
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c1, _, c2, _, c3 = st.columns((10, 1, 10, 1, 10))
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c1.plotly_chart(fig_scatter, use_container_width=True)
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c2.plotly_chart(fig_returns, use_container_width=True)
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c3.plotly_chart(fig_histogram, use_container_width=True)
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except Exception as e:
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st.header(tickerTable.at[selection, "Company"])
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st.markdown(
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f"Data for {tickerTable.at[selection, 'Company']} not available",
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unsafe_allow_html=False,
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)
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# print(selection)
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# print(e)
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if __name__ == "__main__":
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print(tickerTable)
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print(tickerTable.index[:3])
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print(sectors)
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print(tickerTable["Prime Standard Sector"] == sector)
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print(default)
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requirements.txt
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environs==9.5.0
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lxml==4.9.2
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pandas-datareader==0.10.0
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pandas==1.5.3
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plotly==5.13.1
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altair<5
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subs/access_backend.py
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# from subs.orderdict import orderByValue
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import requests
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import json
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import streamlit as st
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import pandas as pd
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from environs import Env
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env = Env()
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env.read_env()
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# @st.cache
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def get_tickerlist():
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response = requests.get(f"{env('HOST')}/Tickerlist_provider?datatype=tickerlist")
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response_json = response.json()
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companyTicker = pd.read_json(response_json["myData"])
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return companyTicker
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# @st.cache
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def get_plot(selection: str, plottype: str):
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assert plottype in ["scatter", "returns", "histogram"]
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response = requests.get(
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f"{env('HOST')}/Stockticker_provider?plottype={plottype}&selection={selection}"
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)
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blub = response.json()
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fig = json.loads(blub["plot"])
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return fig
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if __name__ == "__main__":
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print(get_tickerlist())
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print(get_plot("ADS.DE", "scatter"))
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toml/config.prod.toml
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# Below are all the sections and options you can have in ~/.streamlit/config.toml.
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[global]
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# By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required, but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem.
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# If you'd like to turn off this warning, set this to True.
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# Default: false
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disableWatchdogWarning = false
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# Configure the ability to share apps to the cloud.
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# Should be set to one of these values: - "off" : turn off sharing. - "s3" : share to S3, based on the settings under the [s3] section of this config file.
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# Default: "off"
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sharingMode = "off"
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# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
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# Default: true
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showWarningOnDirectExecution = true
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# Level of logging: 'error', 'warning', 'info', or 'debug'.
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# Default: 'info'
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logLevel = "debug"
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[client]
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# Whether to enable st.cache.
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# Default: true
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caching = true
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# If false, makes your Streamlit script not draw to a Streamlit app.
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# Default: true
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displayEnabled = true
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[runner]
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# Allows you to type a variable or string by itself in a single line of Python code to write it to the app.
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# Default: true
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magicEnabled = true
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# Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution.
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# Default: false
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installTracer = false
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# Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing.
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# Default: true
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fixMatplotlib = true
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[server]
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# List of folders that should not be watched for changes. Relative paths will be taken as relative to the current working directory.
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# Example: ['/home/user1/env', 'relative/path/to/folder']
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# Default: []
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folderWatchBlacklist = ['']
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# If false, will attempt to open a browser window on start.
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# Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) server.liveSave is set.
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headless = true
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# Immediately share the app in such a way that enables live monitoring, and post-run analysis.
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# Default: false
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liveSave = false
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# Automatically rerun script when the file is modified on disk.
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# Default: false
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runOnSave = false
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# The port where the server will listen for client and browser connections.
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# Default: 8501
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port = 8501
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# Enables support for Cross-Origin Request Sharing, for added security.
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# Default: true
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enableCORS = false
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[browser]
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# Internet address of the server server that the browser should connect to. Can be IP address or DNS name.
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# Default: 'env("HOST")'
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serverAddress = "0.0.0.0"
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# Whether to send usage statistics to Streamlit.
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# Default: true
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gatherUsageStats = true
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# Port that the browser should use to connect to the server when in liveSave mode.
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# Default: whatever value is set in server.port.
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serverPort = 8501
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[s3]
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# Name of the AWS S3 bucket to save apps.
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# Default: (unset)
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#bucket =
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# URL root for external view of Streamlit apps.
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# Default: (unset)
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#url =
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# Access key to write to the S3 bucket.
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# Leave unset if you want to use an AWS profile.
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# Default: (unset)
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#accessKeyId =
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# Secret access key to write to the S3 bucket.
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# Leave unset if you want to use an AWS profile.
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# Default: (unset)
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#secretAccessKey =
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# The "subdirectory" within the S3 bucket where to save apps.
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# S3 calls paths "keys" which is why the keyPrefix is like a subdirectory. Use "" to mean the root directory.
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# Default: ""
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keyPrefix = ""
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# AWS region where the bucket is located, e.g. "us-west-2".
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# Default: (unset)
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#region =
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# AWS credentials profile to use.
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# Leave unset to use your default profile.
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# Default: (unset)
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#profile =
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toml/credentials.prod.toml
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[general]
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email=""
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