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Python package that simplifies creating Streamlit applications by offering features like initiating projects with starter app templates and functions for managing running apps. 😎

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StartLit ⭐

PyPI - Version GitHub License PyPI - Downloads example workflow

Welcome to StartLit!

StartLit is your gateway to building Streamlit apps with ease. It brings a simple, streamlined way to start your Streamlit projects. Here's what's included in the latest release:

Features:

  • Package Installation: Now you can easily install StartLit from PYPI using pip install startlit.

Install the package from PYPI

pip install startlit

Import the package

from startlit import *
hello()

Running hello() should give you a simple welcome message -

Hello there πŸ‘‹ 
Welcome to Startlit! πŸš€

Download a very simple starter app

starter()

Output -

πŸ“₯ Starter app downloaded!πŸ“₯
πŸ‘€ Look for 'app.py' and 'requirements.txt' file in your working directory πŸ‘€
πŸ’‘ Visit https://startlit-starter.streamlit.app/ for a quick look to the starter app

If you look up in your local/working directory, you should find the 2 files present as mentioned above.


# just to check - files have been downloaded
!ls

Output -

app.py	requirements.txt

# just to check - app.py actually has streamlit code
!cat app.py

Output -

import streamlit as st

# Display a title
st.title('Hello, World! πŸŒŽπŸš€')

# Add a description with an inline comment
st.write("This is my first app in Streamlit! πŸ“")  # Comment: Don't forget to smile

Other functions

# get a list of available ftrs
help()

# Download a starter app template
starter()

# Download a multipage app template
multipage()

# Download a fragment app template
fragments()

# Download a dummy chatbot app template
chat()

# List all active apps
list_streamlit_apps()

# Kill a specific app by app_id
kill_streamlit_apps(app_id)

Snowflake Demo Apps

Usage

app_keyword = "chat_app"
destination_directory = "./folder"
snowflake_demo_app(app_keyword, destination_directory)

Output

Cloning from https://github.com/Snowflake-Labs/snowflake-demo-streamlit.git πŸ“¦
Using the main branch 🌿
Target directory created: ./folder πŸ› οΈ
Fetched folder: Chat app using Snowflake Cortex πŸ“
Fetched LICENSE file πŸ“œ
Fetched README.md file πŸ“–
Demo app files fetched successfully to /content/folder πŸŽ‰πŸŽŠ
Please make sure to read the README.md πŸ“– and LICENSE πŸ“œ files for important information.

The following table lists the app keywords (used in the above example) and their corresponding folder names in the repository:

Keyword Folder Description
chat_app Chat app using Snowflake Cortex
email_generator LLM Email Generator
ci_demo Continuous Integration - Summit Demo
customer_engagement Customer Engagement App
rag Retrieval Augmented Generation (RAG)
external_access_chat_app External Access: Chat app using 3rd party LLM
github_insights Github Popularity Insights
h3_mapping H3 Mapping and Timeseries Visualization
sql_optimizer SQL Query Optimizer App using Snowflake Cortex
inventory_tracker Inventory Tracker
usage_monitoring Streamlit in Snowflake Usage Monitoring
metrics_app Key Metrics App
retention_analytics User Retention Analytics App
language_insights Language Usage Insights
data_io Writing and reading data back to Snowflake

Feedback and Contribution:

Excited to hear your feedback and suggestions for improvements.

Collaborations and Contributions are welcome 🀝 Feel free to open issues or submit pull requests.

Enjoy your streamlit journey with StartLit and happy coding! πŸš€πŸŽ‰

Check package download stats at https://pypistats.org/packages/startlit


Β© Indraneel Chakraborty | 2024 πŸ§‘β€πŸ’»LinkedIn | X/Twitter

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Python package that simplifies creating Streamlit applications by offering features like initiating projects with starter app templates and functions for managing running apps. 😎

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