Real-Time Interactive Sentiment Analysis in Python

How to visualize sentiment using a procedural smiley face in Python with OpenCV and Tkinter The post Real-Time Interactive Sentiment Analysis in Python appeared first on Towards Data Science.

May 8, 2025 - 02:51

Real-Time Interactive Sentiment Analysis in Python

You know what the best part of being an engineer is? You can just build stuff. It’s like a superpower. One rainy afternoon I had this random idea of creating a sentiment visualization of a text input with a smiley face that changes it’s expression base on how positive the text is. The more positive the text, the happier the smiley looks. There are some interesting concepts to learn here, so let me guide you through how this project works!

Prerequisites

To follow along, you need the following packages:

customtkinter
Opencv-python
torch
transformers

Using uv, you can add the dependencies with the following command:

uv add customtkinter opencv-Python torch transformers

NOTE: When using uv with torch you need to specify the index for the package. E.g if you want to use cuda, you need the following in your pyproject.toml:
[[tool.uv.index]]
name = "pytorch-cu118"
url = "https://download.pytorch.org/whl/cu118"
explicit = true

[tool.uv.sources]
torch = [{ index = "pytorch-cu118" }]
torchvision = [{ index = "pytorch-cu118" }]

UI Layout Skeleton

For these types of projects I always like to start with a quick layout of the UI components. In this case the layout will be quite simple, there’s a textbox with a single line at the top that fills the width and below it the canvas filling the rest of the available space. This will be where we draw the smiley face Read More