Best AI tools for< Create Virtual Hugs >

AI Hug Video Generator is an AI-powered tool that allows users to create heartwarming video hugs using artificial intelligence technology. Users can upload photos of individuals and generate lifelike animations of virtual embraces, bridging distances and bringing cherished memories to life. The platform offers versatile customization options and a free trial for users to experience the magic of AI-generated hugs. With advanced algorithms and high-quality output, AI Hug Video Generator revolutionizes the way people express affection in the digital world.

AI Hug Video Generator is a free AI video studio application that allows users to create heartwarming hug videos using advanced AI video technology. Users can generate touching videos by uploading just two photos of people they want to see hugging. The application offers customizable hug scenarios, realistic AI-powered hug animations, and various AI hugging styles and backgrounds. It is perfect for all relationships and occasions, providing a unique way to bring loved ones together through virtual hugs.

Gemsouls is an artificial intelligence platform that powers virtual characters and their connections to the real world. It allows users to create, customize, and interact with virtual characters, and to share them with others. Gemsouls is on a mission to bring gem-like virtual humans to life, and to create a new way for fans to enjoy their favorite characters, for creators to bring fictional beings to life, and for people to stay connected to the people they love.

Versy.ai is a text-to-space generative AI solution that allows users to create virtual experiences from a text prompt. It is designed to be cost-effective, customizable, data-driven, and scalable. Versy.ai can be used to create a variety of interactive experiences, including product configurations, events, escape rooms, leaderboards, treasure hunts, and more.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

RingCentral Events is a comprehensive platform for organizing hybrid and virtual events. It allows users to host engaging events with AI-powered features, personalized branding, and immersive experiences. The platform offers tools for event management, engagement tracking, and content creation, making it a valuable solution for businesses of all sizes.

BotGPT is a 24/7 custom AI chatbot assistant for websites. It offers a data-driven ChatGPT that allows users to create virtual assistants from their own data. Users can easily upload files or crawl their website to start asking questions and deploy a custom chatbot on their website within minutes. The platform provides a simple and efficient way to enhance customer engagement through AI-powered chatbots.

DreamStaging.AI is an AI-powered virtual staging and interior design solution that allows users to create professional-looking interior designs for their real estate listings and design projects in minutes. With DreamStaging.AI, users can upload a photo of an empty room and get dozens of professionally designed and furnished interior variations in minutes, across various styles and room types. DreamStaging.AI can save users a lot of time by automating the process of creating virtual staging designs, allowing them to focus on other aspects of their business.

Sphere is an AI-powered application that allows users to capture virtual tours in minutes using their smartphones. The app eliminates the need for expensive cameras or contractors by leveraging AI technology to create immersive and photorealistic 3D tours. Users can simply scan a space with their phone and let the AI do the rest. Sphere is designed to provide a seamless and efficient way to create engaging virtual tours for various purposes, such as real estate listings, travel destinations, event venues, and more. With Sphere, users can easily create stunning visual experiences without the hassle of traditional photography methods.

Flipped.Chat is an AI-powered dating adventure platform that allows users to engage in virtual conversations with virtual girlfriends and boyfriends. The platform offers a unique and interactive experience where users can explore different messages, create their own conversations, and personalize their virtual relationships. With features like Flipped Pro, users can access premium content and enhance their virtual dating experience. Flipped.Chat caters to users of all genders and preferences, offering a mix of realistic and anime-style virtual characters for an immersive chat experience.

RoomDeco is an AI-powered interior design tool that allows users to redesign interiors in seconds. It offers a wide range of features, including the ability to generate countless styles and options, set specific colors and materials, and download the RoomDeco extension to right-click any image on the web and send it to RoomDeco AI to change the style. RoomDeco is perfect for home owners and buyers, real estate agents, contractors, interior designers, and virtual stagers.

Spyne is an AI photography and editing tool designed specifically for car dealerships and marketplaces. It offers a range of features such as creating virtual 360 spins, showcasing cars from every angle, and generating AI video car brochures. Spyne helps drive profitability and streamline sales for dealerships by providing smart solutions. It also offers automated quality control and curation for user-generated car visuals on marketplaces. With a focus on automotive retail, Spyne aims to transform the way car photography and merchandising are done in the industry.

SynthLife is a virtual influencer creator powered by AI technology, offering users an all-in-one solution for creating, growing, and monetizing virtual influencers. With features like building a unique face, social media integrations, auto-generating content, and various subscription plans, SynthLife simplifies the process of managing and growing AI influencers. Users can create up to five faces, repurpose content from other channels, and even bring their own AI face into the platform. The platform also provides tools for scheduling content, integrating with social media platforms, and generating images and videos for TikTok and YouTube.

Scade.pro is an AI tool that enables users to turn AI into revenue and new projects without coding. It simplifies AI with a no-code platform, providing access to top AI tools, connectors, and triggers for seamless AI integration. With a unified API, users can build and scale AI apps and features faster, leveraging over 1,500 AI models. The platform offers templates for virtual fitting rooms, prompt generators, summarizers, video face swaps, and more, making it easy to create AI-driven solutions. Scade.pro is backed by a subscription model that includes access to top AI tools, GPU, and cloud servers at an affordable price, eliminating the need for multiple subscriptions.

Charisma is a storytelling platform powered by artificial intelligence. It allows users to create virtual characters with voices, emotions, memories, and goals. These characters can be used in web, app, gaming, VR, and other interactive formats. Charisma's no-code story engine powers multi-character conversations for award-winning entertainment, marketing, and learning and training experiences.

Styldod is a comprehensive platform that provides a wide range of real estate-related services, including virtual staging, photo editing, 360° tours, floor plans, and website creation. With Styldod, real estate agents and brokers can quickly and easily enhance their listing photos, remove clutter, and virtually stage rooms to make their properties more appealing to potential buyers. Styldod also offers a variety of free tools, such as AI image enhancement and object removal, to help agents create high-quality marketing materials. Whether you're a seasoned real estate professional or just starting out, Styldod has the tools and services you need to succeed.

Remote Face is an AI tool designed to create a virtual avatar for video conferences, ensuring complete privacy. Users can generate their avatar from a single selfie and enjoy a variety of virtual backgrounds. The tool is compatible with Windows and macOS platforms, offering features like CPU with AVX support and GPU with Metal support. Remote Face aims to enhance video conferencing experiences by providing a unique and personalized avatar for users.

Twinning is an AI application that allows users to create a virtual clone of themselves for their followers to interact with on social media platforms. Users can record an audio of themselves speaking, and the AI twin is generated within minutes. The application offers different pricing tiers based on the number of followers an influencer has, with features like professional voice cloning, audio messaging, and analytics. Twinning provides a unique way for influencers to engage with their audience and potentially monetize their AI twin's interactions.

Kubee is a platform that allows users to create digital avatars and interact with each other. It uses AI to generate realistic avatars and animate them in real-time. Kubee also allows users to create and share their own virtual worlds, and to mint NFTs of their avatars and creations. The platform is designed to be a social space where users can connect with each other and express themselves creatively.

Revivoto is a Vancouver-based company that specializes in smart real estate photo editing services, including virtual staging, 360° virtual staging, item removal image enhancement, and day-to-dusk transformation. Revivoto's services are designed for professionals looking to elevate real estate listings and give them a competitive edge in the crowded market. With a focus on high-quality photo edits, fast turnaround times, and affordable pricing, Revivoto aims to make professional photo editing accessible to everyone in the real estate industry.

Virtual_Avatar_ChatBot is a free AI Chatbot with visual movement that runs on your local computer with minimal GPU requirement. It supports various features like Oogbabooga, betacharacter.ai, and Locall LLM. The tool requires Windows 7 or above, Python, C++ Compiler, Git, and other dependencies. Users can contribute to the open-source project by reporting bugs, creating pull requests, or suggesting new features. The goal is to enhance Voicevox functionality, support local LLM inference, and give the waifu access to the internet. The project references various tools like desktop-waifu, CharacterAI, Whisper, PYVTS, COQUI-AI, VOICEVOX, and VOICEVOX API.

BotSharp is an open-source machine learning framework for building AI bot platforms. It provides a comprehensive set of tools and components for developing and deploying intelligent virtual assistants. BotSharp is designed to be modular and extensible, allowing developers to easily integrate it with their existing systems and applications. With BotSharp, you can quickly and easily create AI-powered chatbots, virtual assistants, and other conversational AI applications.

FlowGen is a tool built for AutoGen, a great agent framework from Microsoft and a lot of contributors. It provides intuitive visual tools that streamline the construction and oversight of complex agent-based workflows, simplifying the process for creators and developers. Users can create Autoflows, chat with agents, and share flow templates. The tool is fully dockerized and supports deployment on Railway.app. Contributions to the project are welcome, and the platform uses semantic-release for versioning and releases.

OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.

LangGraph Expense tracker is a small project that explores the possibilities of LangGraph. It allows users to send pictures of invoices, which are then structured and categorized into expenses and stored in a database. The project includes functionalities for invoice extraction, database setup, and API configuration. It consists of various modules for categorizing expenses, creating database tables, and running the API. The database schema includes tables for categories, payment methods, and expenses, each with specific columns to track transaction details. The API documentation is available for reference, and the project utilizes LangChain for processing expense data.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

Duix is a silicon-based digital human SDK for intelligent interaction, providing users with instant virtual human interaction experience on devices like Android and iOS. The SDK offers intuitive effect display and supports user customization through open documentation. It is fully open-source, allowing developers to understand its workings, optimize, and innovate further.

AirCast is a Home Assistant Community Add-on that provides AirPlay capabilities for Chromecast players. It bridges the compatibility gap between Apple's AirPlay and Google's Chromecast by creating virtual AirPlay devices for Chromecast players on the network. The add-on is based on the AirConnect project and allows users to stream audio from Apple devices to Chromecast players.

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

Deaddit is a project showcasing an AI-filled internet platform similar to Reddit. All content, including subdeaddits, posts, and comments, is generated by AI algorithms. Users can interact with AI-generated content and explore a simulated social media experience. The project provides a demonstration of how AI can be used to create online content and simulate user interactions in a virtual community.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=