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…
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…
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…
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…
AI Project: Controlling Stable Diffusion with ControlNet (Sketch-to-Image)
Standard Stable Diffusion is amazing, but it’s chaotic. You type “cat,” and you get a cat, but maybe not the cat pose you wanted. Hugging…
AI Project: Efficient Fine-Tuning with LoRA and PEFT (Train LLMs on Consumer Hardware)
In Fine-Tuning (Part 3: Evaluation & Sharing), we fine-tuned a small BERT model. But if you try to fine-tune a modern LLM (like Llama 3…
AI Project: Train on Your Own Data (Loading Local Files with datasets)
So far, we’ve used load_dataset to pull pre-made datasets (like “imdb“) from the Hugging Face Hub. But the real power is training an AI on…
AI Project: Build a Simple RAG Chatbot (Hugging Face & FAISS)
This is the most important AI project of the “2026 Vision.” Building a Python RAG Chatbot is a practical example of how RAG (Retrieval-Augmented Generation)…
AI Project: Intro to Graph Neural Networks (GNNs) with PyG & Hugging Face
We’ve used AI to understand text, images, and audio. But what about relationships? For this, we need Graph Neural Networks (GNNs). A GNN is a…
AI Project: Manual Text Generation with Hugging Face (GPT-2)
In our previous Hugging Face with gpt-2 project, we used the text-generation pipeline. This is great, but it hides all the powerful options. In this…
