
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:
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-streamlitlist_streamlit_apps() - List running Streamlit apps.kill_streamlit_apps() - Kill running Streamlit apps.help() - Display help menu with list of available functions.pip install startlitfrom startlit import *
hello()Running hello() should give you a simple welcome message -
Hello there
Welcome to Startlit!
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
!lsOutput -
app.py requirements.txt
# just to check - app.py actually has streamlit code
!cat app.pyOutput -
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# 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)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 |
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
© Indraneel Chakraborty | 2024 ?LinkedIn | X/Twitter