ChiPy Algorithm SIG (LIVE at Prefect in Avondale, then Brewery A: Thu, Mar 02 2023 at 06:30 PM at Prefect
ChiPy __main__ Meeting February 2022: Thu, Feb 09 2023 at 06:30 PM at Kitchen 17
(20 Minutes)
By: Joshua Herman
Experience Level: Intermediate
Slides Link
This will be a tutorial based talk with a demo at the end on how to use conversational language models to make an interactive chatbot. The models that we will use are Blenderbot from Facebook Research and distilbert from google research / huggingface. We will also use Transformers from Huggingface which is an easy to use packaging and API for the above systems and also go over using speech recognition and text to speech to make interaction more fluid. At the end there will be an interactive demo.
(40 Minutes)
By: Jeff Glass
Experience Level: Novice
Slides Link
PyScript is a framework that allows users to create rich Python applications in the browser using HTML and the power of Pyodide, WASM, and modern web technologies. With Python running entirely within the browser-window, users can easily deploy Python scripts and applications with simple static hosting. In PyScript, Python can interoperate with existing JavaScript frameworks to leverage the vast world of existing web UI and visualization tech. And conversely, existing key Python libraries like numpy, pandas, open-cv, and more can be run - and their results beautifully displayed - in a zero-install environment for end users.
Following this talk, attendees will be able to use PyScript in integrate Python directly in a webpage, integrate Python and JavaScript togther in the browser, and understand the fundamental challenges of running Python in a browser context.
ChiPy January 2023 __main__ Meeting: Thu, Jan 12 2023 at 06:30 PM at Tegus (by AlphaSense)
(5 Minutes)
By: Heather White
Experience Level: Novice
An overview of property-based testing with hypothesis.
(15 Minutes)
By: Alex Kowalczuk
Experience Level: Intermediate
Slides Link
Learn how we built cross-application search at Tegus by integrating Tegus content into recently-acquired BamSEC's document search system, using AWS SQS, Elasticsearch, and Python.
 
                  