#API

This project demonstrates the development of an API package with multi-provider requests, featuring key functionalities such as timeouts, load balancing, and flow control. It is designed for developers interested in effective integration of diverse API capabilities. The repository includes up-to-date information and detailed installation guides. Users can set up the API using Docker or Python, with support for local inference and web UI. Community feedback and contributions are encouraged to further improve functionality and compatibility.

Discover Clarity AI, an open-source solution for enhancing images with capabilities to upscale resolutions up to 13k, sharpen images, and format outputs to jpg, png, and webp. It facilitates multi-step and pattern upscaling, with seamless integration into platforms like ComfyUI and A1111 webUI. Comprehensive tutorials guide users in employing API nodes, Cog predictions, and techniques for anime upscaling. Clarity AI is regularly updated with features like pattern upscaling and speed optimizations, delivering adaptable solutions for superior image enhancement.

MLflow offers a versatile platform for machine learning, featuring APIs that integrate smoothly with libraries like TensorFlow and PyTorch. It provides capabilities such as experiment tracking with an interactive interface, reproducible code packaging, and deployment support on platforms like Docker and Spark. The model registry aids in managing the complete lifecycle of models collaboratively.

A Python application leveraging TikTok's API for creating .mp3 audio with specified voices, supporting languages like English, Spanish, and Japanese. Requires Python 3.8+ and necessary packages installed. Enables text-to-speech via file or text input, with session-based functionality. Allows unlimited Latin character input and a 200-character limit for supported non-Latin voices. Not intended for content farm use.

Discover the Swift implementation of the OpenAI public API designed for AI integration in natural language processing, code generation, and image creation. The project offers features such as streaming completions, chat applications, and image production, emphasizing secure API access and backend support. It serves as a resource for developers seeking to utilize AI technology effectively, complete with installation and usage guidance.

An unofficial Rust library for accessing OpenAI features such as chat, audio, embeddings, and real-time API types asynchronously. The library offers support for Microsoft's Azure OpenAI and uses exponential backoff for reliable request retries. It includes an ergonomic builder pattern for seamless API interaction and supports image generation with customizable sizes.

Talkify is a JavaScript library offering text-to-speech features, integrating multilingual TTS voices for website interaction. It allows API key acquisition for hosted voices and provides text highlighting, UI control, and playback customization. Capabilities include MP3 download and controlling playback aspects for enhanced accessibility. It offers 1000 free monthly requests, robust for web forms and selected text. SSML support is available for smoother voice synthesis.

Mirascope is a library designed to seamlessly unify the use of large language models (LLMs) by offering a single interface compatible with providers like OpenAI and Azure AI. This tool simplifies tasks such as text generation and structured information extraction while supporting complex AI applications. Integrated with leading providers, Mirascope enhances development efficiency and reliability. Developers can quickly install and configure the library for their preferred provider setup and begin working with LLMs efficiently. Comprehensive documentation and tutorials are available for fast onboarding. Licensed under the MIT License and utilizing semantic versioning, Mirascope is a dependable solution for advanced LLM capabilities.

This API offers fast streaming output, supports complex dialogues and AI integrations like video and art generation, and ensures easy setup with ChatGPT compatibility. It provides tools for web search and image analysis, without complex configurations, making it a compatible, flexible choice across various platforms such as Docker, Render, and Vercel for users seeking advanced AI solutions.

The Go Clean Architecture project provides a practical framework for executing banking tasks such as account management and transfers using clean architecture principles. It supports easy setup with Docker for development and testing, enhancing application maintainability and scalability. This project is ideal for developers looking to adopt a structured approach to banking solutions.

CombineSchedulers improves the testability and versatility of Apple's Combine framework by converting asynchronous publishers into synchronous ones, simplifying debugging and testing. The library includes AnyScheduler for flexible scheduling, TestScheduler for precise control over execution timing, ImmediateScheduler for eliminating thread hops, and UIScheduler for immediate main thread execution. Compatible with iOS 13.2 and above, it's easily installed via Swift Package Manager. Learn more about its applications and benefits through detailed episodes by Point-Free.

The web application provides an intuitive interface for engaging with OpenAI models like Davinci, DALL·E, and Whisper. Easily generate AI images, transcribe audio, and highlight code syntax through a chat-like interface. With Express-based server support, it facilitates API requests without frameworks. Ideal for exploring the capabilities of OpenAI's API, requiring Node.js and an API Key for setup. Contributions are welcomed to improve functionality and resolve issues. Visit http://localhost:3001 post-installation for an interactive experience.

UnlimitedGPT is a robust Python library that serves as an alternative to the OpenAI paid API for ChatGPT. It offers a range of features such as proxy support, session and user data management, and Cloudflare anti-bot bypass. Compatible with multiple operating systems including Windows, Linux, macOS, and headless servers like Google Colab, UnlimitedGPT is a flexible tool for streamlining ChatGPT automation and customization, making it suitable for developers aiming to enhance their AI interactions.

TFLearn provides a flexible deep learning library based on TensorFlow, featuring an intuitive high-level API to accelerate experimentation. It offers diverse neural network models, configurable layers, and efficient functions for training. Fully compatible with TensorFlow, TFLearn supports both CPU and GPU configurations. The library enhances transparency with comprehensive graph visualizations and accommodates contemporary models like LSTM and generative networks. The latest version is aligned with TensorFlow v2.0+, ensuring up-to-date deep learning methodologies.

AI Chatbot Framework offers a Python-driven approach to developing conversational interfaces, allowing for easy integration into platforms such as Messenger and Slack. The framework supports straightforward deployment through Docker and Heroku, inviting contributions from both novices and seasoned developers, all while enhancing interaction capabilities.

RAG Search API by thinkany.ai offers an effective solution for sophisticated data search, leveraging OpenAI's GPT-3.5-turbo and text-embedding-ada-002 models with a Zilliz database. The setup involves setting environment variables, installing dependencies, and launching the FastAPI server. It supports complex query processing, including reranking and filtering features to refine search results according to adjustable parameters. This API is well-suited for developers seeking to enhance search efficiency.

Explore PyChatGPT, a Python module for automated ChatGPT API interactions. It features smart conversation management, automatic logins, and efficient token handling, making it ideal for developers. The tool supports proxy use and regular token updates. Test it via the web demo on Hugging Face and integrate it easily with Gradio. Enhance your Python projects with this adaptive library that responds well to OpenAI API updates, and stay informed about forthcoming features like multi-user support and enhanced error handling. An excellent choice for those seeking a comprehensive chat automation solution.

ChatLLM enhances Large Language Models with an integrated knowledge base, improving response quality. It integrates with OpenAI ecosystems, offering applications like ChatOCR and ChatPDF for diverse document interactions. Supporting models such as THUDM/chatglm-6b and embedding models like nghuyong/ernie-3.0-base-zh, ChatLLM meets various user needs. It features easy API deployment using FastAPI and Flask. Future updates include structured data integration and expanded model support.

This comprehensive guide examines TensorFlow 2, focusing on its user-friendly API and resemblance to NumPy. It covers efficient computation strategies, symbolic and iterative methods, and control flow operations such as conditionals and loops. The guide also addresses debugging when using broadcasting and using overloaded operators for clearer code. In addition, it discusses prototyping with Python operations and advanced visualization. The emphasis is on numerical stability to aid the development of robust AI models, with updates tracking the latest TensorFlow API releases.

Iceburg CRM is a flexible CRM building solution utilizing Laravel, with AI features that allow quick prototyping of custom CRMs. This project includes metadata-driven module creation, various import/export formats, and API support, catering to diverse business requirements. It offers 25 input types, numerous themes, and role-based permissions to users. The AI Assist feature aids in the automatic generation of CRM elements. Supporting up to 6-way relationships between modules, it ensures data integrity across all interactions. The frontend is built with Vue 3 and the backend with Laravel 10, facilitating a smooth user experience.

This project is developed on the One API platform and features a revamped user interface and an enhanced user dashboard. It supports functionalities like Azure Speech for TTS, provides detailed logging, and allows for dynamic updates of models. The solution offers proxy configuration, custom speed testing of models, and enables specific billing and customization of completion rates. It supports numerous vendors, such as OpenAI, Azure, and Anthropic, ensuring a comprehensive integration of AI capabilities, with a focus on compliance with legal and usage regulations.

The project provides an extensive collection of UI nodes to enhance the usability of the latest comfyui, featuring API support, video generation integration, and a JS-SDK for frontend use. It supports workflow-to-app transformation and real-time design features such as ScreenShareNode and dynamic prompts. Recent updates include capabilities for video generation via fal.ai, the introduction of SimulateDevDesignDiscussions, and new nodes for image-to-text, LLM enhancements, speech recognition, 3D processing, and style adjustments. This integration supports effective node management and promotes efficient application and workflow development.

Discover a comprehensive backend authentication solution employing JWT, Spring Security, and MySQL JPA tailored for efficient API protection. Features include support for traditional email or username registration, JWT token creation, multiple device management, and time-sensitive email confirmation. Admin-level security, password recovery tools, and JWT renewal for prolonged access are incorporated. Swagger documentation facilitates easy API usage, while robust exception handling and JSR-303 validation streamline operations. Suitable for developers aiming to implement secure authentication with Spring technologies.

The Flux project by Black Forest Labs enables cutting-edge image transformation through its latent rectified flow transformers. It supports both text-to-image and image-to-image features. The project highlights aspects like easy local setup and API connectivity, collaborating with platforms like Replicate, FAL, Mystic, and Together for broader access. Users can try models like 'FLUX.1 [pro]' and 'FLUX1.1 [pro]' via API, and obtain others such as 'FLUX.1 [schnell]' on HuggingFace. Demonstrations using Streamlit and Gradio offer interactive experiences, while integration with the diffusers library ensures efficient utilization of resources. Detailed API documentation is available on docs.bfl.ml.

Enables integration of OpenAI's ChatGPT into Python apps, bypassing the need for an API key and cost. By simulating web requests through reverse-engineering, it provides complimentary access to ChatGPT services. The project features both synchronous and asynchronous Python support, with detailed setup guides and examples for use. Ideal for developers aiming to add ChatGPT functionality without incurring additional subscription fees. Contributions and enhancements are welcome in this open-source Python project.

LiteLLM provides integration with various large language model APIs such as OpenAI, Azure, and Huggingface, using a standardized format. It delivers consistent outputs and includes features for retries and fallbacks. The platform offers budget and rate limit management, spending tracking, and provider translation support for tasks like completion, embedding, and image generation. LiteLLM features streaming, asynchronous operations, and robust logging, suitable for enterprise settings. The proxy server enhances load balancing and authorization management for efficient, secure deployments.

Reader transforms URLs into LLM-compatible inputs and offers an advanced web search function for updated knowledge access. It includes features like adaptive crawling and image reading, supported by a stable, free API.

Dataherald enables insights from relational data via natural language queries, offering direct access without analysts. It supports API setups for plain English queries, SaaS integrations, and ChatGPT plug-in development. Components include a core engine, authenticated API, admin interface, and Slack integration. Easy Docker deployment is supported. Contributions are welcome for feature and infrastructure enhancements.

This lightweight and dependency-free JavaScript library facilitates interaction with Claude AI's unofficial API, enabling the initiation of conversations, file uploads, and chat management. It supports all Claude models and employs a versatile isomorphic design alongside modern async/await syntax and comprehensive test coverage. Although recent API restrictions have posed challenges, the project maintains updates with new features including proxy configuration and improved conversation handling. The solution is installable via npm for both CLI and API, offering functions for initiating and managing dialogues, and supporting file uploads. Community contributions are encouraged to enhance its capabilities.

The tool facilitates real-time text streaming via LLMs from any input interface. It allows prompt replacement with instant outputs using simple shortcuts and offers setting customization through a configuration file. While defaulting to local usage, it also supports API integration via shell scripts. Features like clipboard context and trigger systems enhance text processing flexibility, ensuring adaptable usage across different platforms with customizable shortcuts.

Access a wide range of pretrained transformer models suitable for various applications in text, vision, and audio, with easy integration using JAX, PyTorch, and TensorFlow. The Transformers library by Hugging Face offers tools for deploying and refining these models, promoting collaboration among developers and researchers. Benefit from reduced computational demands, flexible model configurations, and the ability to transition seamlessly across different frameworks. Applicable to tasks such as sentiment analysis, object detection, and speech recognition, these models support the development of contemporary AI solutions.

Discover a thorough compilation of unofficial resources, tools, and applications for ChatGPT. This directory features browser extensions, desktop apps, chatbots, reverse proxies, and development tools, aiding various platform integrations. Ideal for developers seeking to expand ChatGPT functionalities or incorporate it into current systems.

ChatGPT-weBot integrates ChatGPT with Stable Diffusion AI for improved WeChat communication by offering context-aware interaction, gpt-3.5-turbo API compatibility, and multithreading. It adheres to official WeChat guidelines to avoid bans, supports keyword triggers, and allows bot customization. History control features such as rollback and reset make it versatile for personal or group chats, while conserving tokens for efficiency.

This RPC code generation tool uses Go interfaces for defining services, resulting in easy server/client code creation. It includes production-ready templates and supports JSON tags and metadata, ensuring structured outputs and a smooth process. Learn via tutorials and explore usage by companies like Grafana Labs.

Ollama4j is a Java library that simplifies integration with the Ollama server, enabling efficient model management. It supports easy installation via local setups or Docker and offers dependency management through Maven and GitHub. Explore comprehensive API specifications and continuously updated development features that ensure reliability and efficiency. Developers use Ollama4j across various applications, from data generation to Minecraft modifications. Contribute to this open-source project to expand and improve its multifaceted applications.

LangChain4j offers a unified API for hassle-free integration of large language models (LLMs) into Java, avoiding the complexity of various proprietary APIs. With tools and examples, it supports over 15 popular LLMs and embedding stores for interchangeable use without code changes. Inspired by other projects and actively evolving since 2023, it stays up-to-date with new techniques, making it ideal for building advanced Java LLM applications.

One-2-3-45 presents a novel approach in utilizing 2D diffusion models for 3D AI content generation with a forward-only paradigm that minimizes optimization time. It allows efficient creation of 3D models, as showcased by updates such as rendering scripts and APIs for inference. Accepted at NeurIPS 2023 and integrated with Hugging Face Spaces, the project offers revolutionary methods for 3D modeling with easy setup options. Interactive demos and model training using the Objaverse-LVIS dataset enhance user engagement.

Gpt-cli provides a terminal interface to engage with multiple chat Large Language Models, such as ChatGPT and Claude. It supports providers like OpenAI, Anthropic, Google Gemini, and Cohere, allowing for tailored model settings. Features include API usage tracking, keyboard shortcuts, and multi-line input. Configuration is simplified via a YAML file, catering to developers needing versatile access to AI models effortlessly.

Utilize a free API key to access GPT-4 with support for various models like GPT-3.5-turbo and Claude. This TypeScript project allows for smooth integration and deployment using options like Docker. Regular updates are provided, along with a Discord community for support. It's designed for developers aiming to incorporate advanced AI technologies into applications cost-effectively, following legal practices. Find comprehensive setup guidance for both local and cloud deployment.

Utilize Firecrawl to convert web content into structured data formats efficiently, enhancing AI tools without requiring a sitemap. Offering compatibility with frameworks like Langchain and Llama Index, Firecrawl delivers consistent and customizable data extraction capabilities. Stay engaged through our GitHub, Twitter, LinkedIn, or Discord channels for the latest updates, and refer to our comprehensive documentation for seamless integration across different platforms.

Explore a solution that automates Reddit TTS video creation through three integrated programs, balancing speed and quality. Manual review ensures content suitability and optimal thumbnails. Efficient YouTube API integration enhances engagement using familiar TTS voices and music. Ideal for leveraging the Reddit TTS trend.

MTrans offers a lightweight, open-source solution for online translation and TTS services, supporting multiple languages such as Chinese, English, Japanese, Korean, and more. Developers can easily send HTTP requests to obtain and process translation results from providers like Baidu, Youdao, and Google. MTrans is ideal for secondary development and seamless integration into applications requiring diverse language support.

Offers a unified API for open-source large language models based on OpenAI's standards, featuring real-time streaming responses, text embedding, and support for tools such as langchain and vLLM. Allows easy substitution of ChatGPT with open models through simple environment changes, supporting various applications. Compatible with custom-trained LoRA models and optimized for rapid processing with vLLM's acceleration. Integrates with popular models like MiniCPM-Llama3 and GLM-4V for seamless project compatibility.

Explore a platform designed for rich multimedia deliverables with advanced modes for storytelling, image production, and cinematic creation. Enhance character interactions by uploading additional documents and influence visuals with source images. Share and download creations and apps on the community site, enhancing collaborative and creative experiences.

Explore the API for seamless interaction with the GPT-J model, supporting text generation and zero-shot classification. Integration is easy with Python and Bash, and no authentication is required for endpoints. Comprehensive documentation helps utilize features like multilingual classification and token control. The API server or Streamlit app can be deployed on various infrastructures such as TPU VMs, ensuring adaptability and growth. Access resources and community support for effective project development with advanced language model functionalities.

This project provides an API that simulates Llama.cpp, facilitating the integration of Code Llama with the Continue Visual Studio Code extension. It uniquely allows local implementation of Code Llama across platforms like Windows and Linux without API keys or registration. The setup includes downloading the necessary models, installing relevant extensions, and following guided configuration steps, making it straightforward for developers using Meta's codellama.

OllamaSharp enhances .NET interaction with the Ollama API, supporting all endpoints such as model listings, chats, and embeddings. It integrates with Microsoft.Extensions.AI and Microsoft Semantic Kernel, facilitating use with various AI providers including ChatGPT and Claude. Developers gain from its easy setup, model selection, interactive chat building, and real-time streaming with progress updates. The tool supports vision models and function calling, making it a multifaceted asset for AI development. Community contributions ensure its continuous enhancement for local and remote instances.

Utilize a non-official GPT-4 API via Selenium to simulate interactions on chat.openai.com, enabling features like GPT-4, DALL-E 3, and browsing, mainly for ChatGPT Plus users. Compatible with Langchain by extending the LLM class, this package provides a flexible alternative for developers awaiting OpenAI's official API. Note: This method infringes on OpenAI's terms, so discretion is recommended. Python installation requires dependencies like undetected-chromedriver and markdownify.

This project offers stable and flexible OpenAI API interfaces, accommodating multiple OpenAI models like batch, assistant, fine-tuning, and GPT-4. It simplifies access without requiring an OpenAI account or USD bank card. The API seamlessly integrates with various major models, including Google Gemini and Claude, providing unrestricted usage. Payment options include WeChat and public payment methods. Developers gain extensive support for OpenAI's full model suite and features such as DALL-E-3, Whisper, and TTS. Designed for ease of use, it integrates API_KEY for secure, reliable access, catering to enterprises and developers alike.

Utilize OpenAI agents for generating innovative games and programs with the foundation of Microsoft Autogen. The project aims to optimize performance through token usage reduction and enhanced configuration customization. It recommends transitioning from GPT-3.5 to the more capable GPT-4 for complex tasks. The setup involves OpenAI or Azure API keys and Anaconda for environment management, supporting Open Source LLMs with precise configuration. The project emphasizes cost-awareness and acknowledges potential breaking changes.