🚩 STREAMLIT

🔵 Definition :

Streamlit is a free and open-source framework to rapidly build and share beautiful machine learning and data science web apps. It is a Python-based library specifically designed for machine learning engineers. Data scientists or machine learning engineers are not web developers and they're not interested in spending weeks learning to use these frameworks to build web apps. Instead, they want a tool that is easier to learn and to use, as long as it can display data and collect needed parameters for modeling. Streamlit allows you to create a stunning-looking application with only a few lines of code.

🔵 Reference :

https://streamlit.io

🚀 project [test-streamlit-helloworld]

Begin :

❯ python -m venv venv

❯ source ./venv/bin/activate

❯ pip install streamlit

Code :

❯ vim streamlit_app.py

	import streamlit as st
	print("hello")
	st.write("Hello world, ... update")

Run :

❯ streamlit run ./streamlit_app.py  --server.port 8888

Result :

Tampilan pada browser | http://localhost:8888

🪧 Notes :

❯ pip list

	Package                   Version
	------------------------- -----------
	altair                    5.2.0
	attrs                     23.2.0
	blinker                   1.7.0
	cachetools                5.3.3
	certifi                   2024.2.2
	charset-normalizer        3.3.2
	click                     8.1.7
	gitdb                     4.0.11
	GitPython                 3.1.42
	idna                      3.6
	importlib-metadata        7.0.1
	Jinja2                    3.1.3
	jsonschema                4.21.1
	jsonschema-specifications 2023.12.1
	markdown-it-py            3.0.0
	MarkupSafe                2.1.5
	mdurl                     0.1.2
	numpy                     1.26.4
	packaging                 23.2
	pandas                    2.2.1
	pillow                    10.2.0
	pip                       22.0.4
	protobuf                  4.25.3
	pyarrow                   15.0.0
	pydeck                    0.8.1b0
	Pygments                  2.17.2
	python-dateutil           2.9.0.post0
	pytz                      2024.1
	referencing               0.33.0
	requests                  2.31.0
	rich                      13.7.1
	rpds-py                   0.18.0
	setuptools                58.1.0
	six                       1.16.0
	smmap                     5.0.1
	streamlit                 1.31.1
	tenacity                  8.2.3
	toml                      0.10.2
	toolz                     0.12.1
	tornado                   6.4
	typing_extensions         4.10.0
	tzdata                    2024.1
	tzlocal                   5.2
	urllib3                   2.2.1
	validators                0.22.0
	zipp                      3.17.0
	WARNING: You are using pip version 22.0.4; however, version 24.0 is available.
	You should consider upgrading via the '/Users/.../test-streamlit-helloworld/venv/bin/python -m pip install --upgrade pip' command.