#API interface

An offline speech recognition tool that effectively converts audio or video into text using the fast-whisper model. It offers output in formats like JSON and SRT, making it a viable alternative to OpenAI and Baidu's APIs. Users can choose model sizes to match hardware capabilities and leverage CUDA acceleration with NVIDIA GPUs. This tool is easy to deploy on Windows, Linux, and Mac, with straightforward setup and detailed API documentation.

Deep Java Library (DJL) is a high-level, open-source Java framework that facilitates deep learning integration without requiring machine learning expertise. It supports Java developers to seamlessly incorporate deep learning into applications using familiar Java IDEs. DJL's engine-agnostic feature offers flexibility in computational engine choice, and its ergonomic APIs promote best practices in model training and inference. It also provides automatic hardware optimization and extensive documentation for enhanced development and deployment.

This adapter brings together multiple free AI services into a single interface, enabling experimental toolCall functionalities for models that do not inherently support them. Compatible with MacOS, Windows, and Linux, it integrates with notable models like Bing, Claude-2, and Gemini. Configuration options include proxy setups, server access via straightforward commands, and model management for improved interaction and functionality. Extensive authorization instructions are offered for diverse models, supporting smooth communication through standardized API endpoints.