In this tutorial we will continue with the previous data science project with a Streamlit ML App for the Github Issue Classification. We will be using SQLModel to store our results.
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⏲️===TimeStamps===⏲️
0:01 Introduction & Demo
02:25 Setting Up
05:40 Loading the ML Models
07:55 Plot Predictions Fxn
08:35 Receiving Input with St.Forms
10:20 Layouts
12:20 Embedding Machine Learning Models
14:10 Prediction & Probabilities
17:30 Streamlit Metric
25:33 SqlModel For Storage
27:00 Creating SQLModel Class
28:50 How to Add Data with SQLModel
36:15 Reading Data From SqlModel with Select
37:40 Recap & Outro
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