startlit 0.0.5

Get started with a streamlit app template code in style

StartLit ⭐

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.

• 🤗 hello() - Just a welcome text.
• 📥 starter() - A very simple starter app template. Quick-peek: https://startlit-starter.streamlit.app/
• 📃 multipage() - An app template for building multipage Streamlit apps. Quick-peek: https://startlit-multipage.streamlit.app/
• 📚 fragments() - An app that allows you to run independent components in the streamlit app. Quick-peek: https://startlit-fragments.streamlit.app/
• 💬 chat()- A dummy chatbot app. Quick-peek: https://startlit-chat.streamlit.app/
• ❄️ snowflake_demo_app("app_keyword","destination_directory") - Download demos for streamlit apps on snowflake. Quick-peek: https://github.com/Snowflake-Labs/snowflake-demo-streamlit
• 📜 list_streamlit_apps() - List running Streamlit apps.
• 🔪 kill_streamlit_apps() - Kill running Streamlit apps.
• 💡 help() - Display help menu with list of available functions.
• 🐙 Need more help? Post an issue at https://github.com/ineelhere/startlit/issues

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 👋 
Welcome to Startlit! 🚀

Download a very simple starter app

starter()

Output -

📥 Starter app downloaded!📥
👀 Look for 'app.py' and 'requirements.txt' file in your working directory 👀
💡 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! 🌎🚀')

# Add a description with an inline comment
st.write("This is my first app in Streamlit! 📝")  # 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 📦
Using the main branch 🌿
Target directory created: ./folder 🛠️
Fetched folder: Chat app using Snowflake Cortex 📁
Fetched LICENSE file 📜
Fetched README.md file 📖
Demo app files fetched successfully to /content/folder 🎉🎊
Please make sure to read the README.md 📖 and LICENSE 📜 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! 🚀🎉

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

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