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Streamlit for Data Science

You're reading from Streamlit for Data Science Create interactive data apps in Python

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781803248226

Length 300 pages

Edition 2nd Edition

Languages

Python

Tools

Streamlit

Concepts

Data Science

Author (1):

Tyler Richards

View More author details

Table of Contents (15) Chapters

Preface

1. An Introduction to Streamlit

2. Uploading, Downloading, and Manipulating Data FREE CHAPTER

3. Data Visualization

4. Machine Learning and AI with Streamlit

5. Deploying Streamlit with Streamlit Community Cloud

6. Beautifying Streamlit Apps

7. Exploring Streamlit Components

8. Deploying Streamlit Apps with Hugging Face and Heroku

9. Connecting to Databases

10. Improving Job Applications with Streamlit

11. The Data Project – Prototyping Projects in Streamlit

12. Streamlit Power Users

13. Other Books You May Enjoy

14. Index

Integrating external AI libraries – an OpenAI example

2023 has surely been the year of generative AI, with ChatGPT taking the world and developer community by storm. The availability of generative models behind services like ChatGPT has also exploded, with each of the largest technology companies coming out with their own versions (https://ai.meta.com/llama/ from Meta and https://bard.google.com/ from Google, for example). The most popular series of these generative models is OpenAI’s GPT (Generative Pre-trained Transformer). This section will show you how to use the OpenAI API to add generative AI to your Streamlit apps!

Authenticating with OpenAI

Our first step is to make an OpenAI account and get an API key. To do this, head over to https://platform.openai.com and create an account. Once you have created an account, go to the API keys section (https://platform.openai.com/account/api-keys) and press the button Create new secret key. Once you create the key...

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Authors (1)

Tyler Richards

Tyler Richards

Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022.

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