Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / 4 months ago

Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / 4 months ago

Have a look at https://anvil.works. - Source: Hacker News / 5 months ago

The problem with low-code platform is that you are always restricted and can't go beyond what they offer. And someday, you will run across a problem that you can never solve with that platform. But there is a better way to do it. In my experience Anvil is the fastest way to develop a web apps. It is a framework that lets you do everything including Frontend, Backend and Database using just Python. I started using... - Source: Hacker News / 8 months ago

> The closest thing I've found in the modern age is https://anvil.works - basically works like Delphi/VB, but web based, and in Python You haven't used Lazarus (https://www.lazarus-ide.org/)? - Source: Hacker News / 9 months ago

Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 7 days ago

HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 1 month ago

The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago

Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 2 months ago

At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago