Streamly is an AI Assistant that was designed to supercharge the development experience with the Streamlit framework. It acts as an AI-infused sidekick, offering on-the-fly assistance , code snippets ✂️, and a deep dive into Streamlit's rich api code. ?
Interactive Chat Interface : Engage in a lively chat with Streamly, asking anything from simple how-tos to complex Streamlit queries. The assistant is equipped to understand and respond with pertinent information, making the interaction both enriching and delightful.
Code Snippet Wizardry ?♂️: Streamly conjures up ready-to-use code snippets for common Streamlit scenarios. This magic is especially handy for beginners who are getting to grips with Streamlit and seasoned pros looking to expedite their code-writing spells.
Update Oracle : Always in the loop, Streamly taps into the latest happenings of the Streamlit universe. Whether it's a fresh release or a minor tweak, Streamly is your go-to source for the most recent and relevant Streamlit enlightenment.
A Personal Touch ?: Decked out with custom CSS and the potential for further personalization, Streamly's UI/UX shines, offering a user experience that's both engaging and aesthetically pleasing.
At the heart of Streamly lies a sophisticated AI engine ?, trained on a plethora of data, including the vast expanses of Streamlit's documentation, forums, and community contributions. This training enables the assistant to understand context, maintain conversational flow, and provide accurate, context-aware advice.
Streamly's backend is a creative use of session state management, providing Streamly with a memory, making for a consistent and coherent conversation for all your coding assistances ?.
With Streamlit's caching mechanisms under the hood for performance optimization, and a comprehensive error handling protocol , Streamly ensures a smooth sail through the sometimes choppy waters of coding challenges.
Streamly embraces the future with open arms, designed to be extensible and modular. The integration of LangChain adds for a fuller and seamless conversational experience, making it not just an assistant but a developer's companion ?.
In the vibrant world of Streamlit development, Streamly shines as a beacon of innovation and practicality. It's not just an AI assistant; it's a testament to the harmonious blend of human creativity and artificial intelligence, all wrapped up in a user-friendly package ?. Whether you're a novice coder or a seasoned developer, Streamly is here to light up your coding journey with a spark of AI brilliance .
To get Streamly up and running on your local machine, follow these steps:
Use secrets.toml an add your OpenAI API key or set your enviroment variable OPENAI_API_KEY to your API key.
git clone https://github.com/AdieLaine/Streamly.git
cd streamly
python3 -m venv venv
source venv/bin/activate # On Windows use venvScriptsactivate
pip install -r requirements.txt
To run Streamly, execute the following command:
streamlit run streamly.py
This will start the Streamlit server, and you should see output indicating the local URL where the app is being served, typically http://localhost:8501
.
After launching Streamly, you can interact with it in the following ways:
Chat Interface: Simply type your Streamlit-related queries into the chat interface and hit send. Streamly will respond with insights, code snippets, or guidance based on your questions.
Code Examples: Ask for code examples by typing queries such as "How do I create a sidebar in Streamlit?" and Streamly will provide you with the relevant code.
Latest Updates: To get the latest updates from Streamlit, type "What's new with Streamlit?" or similar questions.
Remember to check the sidebar for additional features and settings that you can customize according to your needs.
If you'd like to contribute to Streamly, please fork the repository and create a pull request with your features or fixes.
Streamly is released under the MIT License. See the LICENSE
file for more details.