Oct 25, 2018 · Learn to how to make an API interface for your machine learning model in Python using Flask. Follow our step-by-step tutorial with code examples today!

Bases: ABC The base interface for a model provider. Model provider is responsible for looking up Models by name. Source code in src/agents/models/interface.py

Here are the main features of the SDK: Agent loop: Built-in agent loop that handles calling tools, sending results to the LLM, and looping until the LLM is done. Python-first: Use built-in …

Apr 12, 2024 · In this post, we will build a simple Python application using OpenAI’s GPT API and then create a REST endpoint for our application using the FastAPI framework in Python. LLM …

Apr 11, 2025 · Therefore, any Python AI framework that supports OpenAI-like models can be used with GitHub Models as well. 🎉 To prove it, I've made a new repository with examples from …

Agents Agents are the core building block in your apps. An agent is a large language model (LLM), configured with instructions and tools. Basic configuration The most common properties …

Mar 20, 2024 · In this article, we will look at how to make a RESTful API for a machine learning model using Flask, a popular web framework for Python. In this article, we’ll use a …

For this article, I wrote down how you can build your own API for a machine learning model that you create and the meaning of some of the most important concepts like REST. After reading …

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - zamelsky/comfyui

Jan 23, 2024 · In this tutorial we will create a simple chatbot web interface and deploy it using an open-source Python library called Taipy. Here we will use HuggingFace's API with google/flan …