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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.
Syllabus
Intro and Demo
review of Streamlit, gpt index, embeddings
Code review and explanation
Debugging and line by line
review of code while the app is running
quick review of deploying online with streamlit
final code review
Taught by
echohive