How to Host Your AI App for Free: Deploying Gradio to Hugging Face Spaces
We built a Gradio app to demo our AI models. But it only ran on your local computer (localhost) so How do you show it…
How to Fix: TypeError: object of type ‘int’ has no len()
The len() function returns the length (number of items) of a container (like a list, string, or dictionary). If you try to use it on…
Big Data in Polars: How to Scan and Process Multiple Files at Once
In the real world, data is rarely in one big CSV. It’s usually split, and this is where you might want to use Polars to…
AI Project: Chat with Images (Visual QA with LLaVA)
We’ve done Image Captioning (getting a simple description). But what if you want to have a conversation about an image? That’s where Hugging Face LLaVA…
How to Fix: TypeError: ‘dict’ object is not callable
Beginners often encounter the TypeError dict not callable message when coding, which usually happens when confusing the syntax for functions and data structures. It means:…
Big Data in Polars: Reading and Writing Partitioned Parquet Files
When you have 1TB of data, you don’t save it in one giant file. You split it up. Polars Partitioned Parquet is handling large datasets…
AI Project: Text-to-Music Generation (Meta MusicGen)
We have generated images, video, and speech. The final frontier of generative media is Music. let’s explore Text to Music Python and see how text…
How to Fix: ValueError: too many values to unpack (expected 2)
This is the opposite of the not enough values to unpack error we covered earlier. In this post, we’ll look at the “ValueError too many…
Processing Data Larger Than RAM: The Polars Streaming Engine (sink_parquet)
In Pandas, if your dataset is bigger than your RAM (e.g., a 30GB file on a 16GB laptop), you get a MemoryError. The Polars Streaming…
AI Project: Text-to-Video Generation (Hugging Face diffusers)
We’ve generated text, audio, and images. The final frontier is Video. Now, Hugging Face Text to Video technology is opening up exciting new possibilities for…
