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Study mode:
on
1
Intro and Demo
2
review of Streamlit, gpt index, embeddings
3
Code review and explanation
4
Debugging and line by line
5
review of code while the app is running
6
quick review of deploying online with streamlit
7
final code review
Description:
Explore the creation of a "Talk to Wikipedia" app using Streamlit, GPT-3, and OpenAI embeddings in Python. Learn how to leverage the power of GPT-index and the Wikipedia API to build an interactive web application that brings Wikipedia content to life. Dive into the code review and explanation, followed by a detailed debugging session using VS Code. Gain insights into running the app, deploying it online with Streamlit, and understand the integration of cutting-edge technologies like OpenAI's GPT-3 and embeddings. Perfect for developers looking to combine natural language processing with web development to create engaging, knowledge-rich applications.

Talk to Wikipedia App with Streamlit, GPT-3, OpenAI Embeddings in Python, VS Code

echohive
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