
Symposium2023
Demonstrates Voice Recognition, Text to Speech, Language Translation, OAuth2, Image Generation, Face Detection and Voice Chatbot.
Stars: 51

Symposium2023 is a project aimed at enabling Delphi users to incorporate AI technology into their applications. It provides generalized interfaces to different AI models, making them easily accessible. The project showcases AI's versatility in tasks like language translation, human-like conversations, image generation, data analysis, and more. Users can experiment with different AI models, change providers easily, and avoid vendor lock-in. The project supports various AI features like vision support and function calling, utilizing providers like Google, Microsoft Azure, Amazon, OpenAI, and more. It includes example programs demonstrating tasks such as text-to-speech, language translation, face detection, weather querying, audio transcription, voice recognition, image generation, invoice processing, and API testing. The project also hints at potential future research areas like using embeddings for data search and integrating Python AI libraries with Delphi.
README:
Source code and Documentation for my ADUG Symposium Talk presented on the 28th of April 2023.
I have since added to and continue to enhance the code to further demonstrate capabilities of AI, adding things that wasn't available at the time.
The goal of this project is to enable delphi users to be able to use AI technology in their applications. There are many different types of AI and thousands of different models. This project is working on creating generalized interfaces to the different types of AI models and make them easily accessible.
Artificial intelligence (AI) is an interdisciplinary field that combines computer science, mathematics, and cognitive psychology to create intelligent systems capable of performing complex tasks. Its rapid advancements have led to a wide array of applications demonstrating AI's versatility.
Language translation is one such application, where AI-powered tools efficiently translate between languages, simplifying tasks like translating software programs for global audiences. AI also excels in human-like conversations, with interactive applications that understand and respond to human language naturally. Voice recognition and real-time speech-to-text allow conversion and seamless voice-based interactions, making AI-driven applications more accessible and user-friendly.
In creative and artistic domains, AI can generate images based on textual descriptions, showcasing its capacity to understand and produce visual content. AI's computer vision capabilities enable it to accurately recognize faces and other objects in photographs and documents, illustrating its potential in visual recognition tasks and diverse applications like security and automation.
AI's ability to analyze and process data, and generate comprehensive reports highlights its value in various domains. Furthermore, AI-powered tools can transcribe audio files into written text, making transcription tasks more efficient and accurate.
The example programs below is an attempt to demonstrate the capabilities available to Delphi programmers today. I have worked on creating generic API's so that different providers can be swapped in or out to:
- experiment
- follow the current leading AI model
- make it easy to change based on price
- avoid vendor lockin
- or for any other reason.
-
ChatGPTAction
- Simple Server app that can be added to a ChatGPT GPT action to allow your computer to write delphi code. See AI Generated Delphi for some example programs created with ChatGPTAction.
-
EmbeddingsDemo
- Simple demo showing how Embeddings work
-
Talk
- Program demonstrating calling various Text to Speech API's and the different voices available (FMX)
-
Translate
- translates between languages using the various cloud API's.
- Simplify translating Delphi programs when using Delphi's built-in multi language resource support.
- DelphiChatGPT
- FaceDetection
- Weather
-
TranscribeAudio
- Upload a audio file and have it translated via a cloud speech to text api.
- VoiceRecognition
-
Image generation
- generate an image using text that you provide using OpenAI's DALLE-2 and DALLE-3 API.
-
ProcessInvoice
- from a pdf invoice extract out the important details and format as a machine readable JSON string
-
TestAPIs
- A project to test out the different API's and the functionality of the API's
Feature | GPT-4o | Azure OpenAI Service | Groq | xAI's Grok | Anthropic's Claude | Google's Gemini |
---|---|---|---|---|---|---|
Vision Support | Yes | Yes | Yes | Yes | Yes | Yes |
Function Calling | Yes | Yes | Yes | Yes | Yes | No* |
*Feature not currently supported/implementated
Create an issue and I will respond to it.
- Google - Text to Speech, LLM, Translate
- Microsoft Azure - Text to Speech, GPT, Translate
- Amazon - Text to Speech, Translate
- Anthropic claude-3-opus, claude-3-sonnet and claude-3-haiku, supporting one of largest context windows currently available (200k tokens)
- X.AI grok-beta LLM
- Replicate access a wide range of models
- Huggingface access a wide range of models
- ElevenLabs Text to Speech and Voice Cloning
- OpenAI Text to Speech, Whisper Voice Recognition, DALLE-2, DALLE-3 Image Generation, GPT4 LLM
- AssemblyAI Voice Recognition
- DeepGram Voice Recognition
- Rev.AI Voice Recognition
- Conqui-ai Run a variaty of text to speech models locally from a docker container
- CodeProject-Ai Local Face Detection.
- Each of the cloud API's need to have been setup in their respective developer consoles.
- Run the TestAPIs project and select the Settings->API Keys... menu item. Add the api for the providers you want to use.
- If you're not using a particular provider you don't need a key for it.
- Please feel free to raise issues about any questions you have about the code. I know there is a lot to this project and lots to setup, so I would like to improve the documentation to make it easy for everyone to use all the parts of this project.
- Using Embeddings to search large datasets
- Using Python4Delphi to be able to call various Python AI libraries from Delphi.
-
whisper.cpp Voice Recognition
-
RDOpenAI Delphi implementation of ChatGPT - an event based component
-
ChatGPT OpenAI ChatGPT
-
DelphiOpenAI a Delphi Library for OpenAI
-
ChatGPTPluginForLazarus An OpenAI (ChatGPT) plug-in for Lazarus IDE.
-
ChatGPT a Firemonkey ChatGPT interface written in Delphi.
-
AI-Playground-DesktopClient A Firemonkey Language model playground to access languages models like StableLM, ChatGPT, and more.
-
AI-Code-Translator Use GPT to translate between programming languages
-
TOpenALPR Open Source Number Plate recognition
-
PgVector PgVector allows storing and querying of Vectors/Embeddings in an SQL database
-
CommonVoice Public dataset of recordings for Voice Recognition
- ICS 9.0 or from the GetIt package manager built into Delphi. - For Voice recognition
- landgraf-dev/aws-sdk-delphi AWS SDK
- DelphiMVCFramework for ChatGPTAction
- https://github.com/PKGeorgiev/Delphi-JsonToDelphiClass
- Fiddler
- XML Data Binder in Delphi
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for Symposium2023
Similar Open Source Tools

Symposium2023
Symposium2023 is a project aimed at enabling Delphi users to incorporate AI technology into their applications. It provides generalized interfaces to different AI models, making them easily accessible. The project showcases AI's versatility in tasks like language translation, human-like conversations, image generation, data analysis, and more. Users can experiment with different AI models, change providers easily, and avoid vendor lock-in. The project supports various AI features like vision support and function calling, utilizing providers like Google, Microsoft Azure, Amazon, OpenAI, and more. It includes example programs demonstrating tasks such as text-to-speech, language translation, face detection, weather querying, audio transcription, voice recognition, image generation, invoice processing, and API testing. The project also hints at potential future research areas like using embeddings for data search and integrating Python AI libraries with Delphi.

llama-github
Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

ChatGPT-Shortcut
ChatGPT Shortcut is an AI tool designed to maximize efficiency and productivity by providing a concise list of AI instructions. Users can easily find prompts suitable for various scenarios, boosting productivity and work efficiency. The tool offers one-click prompts, optimization for non-English languages, prompt saving and sharing, and a community voting system. It includes a browser extension compatible with Chrome, Edge, Firefox, and other Chromium-based browsers, as well as a Tampermonkey script for custom domain use. The tool is open-source, allowing users to modify the website's nomenclature, usage directives, and prompts for different languages.

coze-studio
Coze Studio is an all-in-one AI agent development tool that offers the most convenient AI agent development environment, from development to deployment. It provides core technologies for AI agent development, complete app templates, and build frameworks. Coze Studio aims to simplify creating, debugging, and deploying AI agents through visual design and build tools, enabling powerful AI app development and customized business logic. The tool is developed using Golang for the backend, React + TypeScript for the frontend, and follows microservices architecture based on domain-driven design principles.

CodeProject.AI-Server
CodeProject.AI Server is a standalone, self-hosted, fast, free, and open-source Artificial Intelligence microserver designed for any platform and language. It can be installed locally without the need for off-device or out-of-network data transfer, providing an easy-to-use solution for developers interested in AI programming. The server includes a HTTP REST API server, backend analysis services, and the source code, enabling users to perform various AI tasks locally without relying on external services or cloud computing. Current capabilities include object detection, face detection, scene recognition, sentiment analysis, and more, with ongoing feature expansions planned. The project aims to promote AI development, simplify AI implementation, focus on core use-cases, and leverage the expertise of the developer community.

data-formulator
Data Formulator is an AI-powered tool developed by Microsoft Research to help data analysts create rich visualizations iteratively. It combines user interface interactions with natural language inputs to simplify the process of describing chart designs while delegating data transformation to AI. Users can utilize features like blended UI and NL inputs, data threads for history navigation, and code inspection to create impressive visualizations. The tool supports local installation for customization and Codespaces for quick setup. Developers can build new data analysis tools on top of Data Formulator, and research papers are available for further reading.

aide
Aide is an Open Source AI-native code editor that combines the powerful features of VS Code with advanced AI capabilities. It provides a combined chat + edit flow, proactive agents for fixing errors, inline editing widget, intelligent code completion, and AST navigation. Aide is designed to be an intelligent coding companion, helping users write better code faster while maintaining control over the development process.

chat-with-your-data-solution-accelerator
Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

lsp-ai
LSP-AI is an open source language server designed to enhance software engineers' productivity by integrating AI-powered functionality into various text editors. It serves as a backend for completion with large language models and offers features like unified AI capabilities, simplified plugin development, enhanced collaboration, broad compatibility with editors supporting Language Server Protocol, flexible LLM backend support, and commitment to staying updated with the latest advancements in LLM-driven software development. The tool aims to centralize open-source development work, provide a collaborative platform for developers, and offer a future-ready solution for AI-powered assistants in text editors.

learn-modern-ai-python
This repository is part of the Certified Agentic & Robotic AI Engineer program, covering the first quarter of the course work. It focuses on Modern AI Python Programming, emphasizing static typing for robust and scalable AI development. The course includes modules on Python fundamentals, object-oriented programming, advanced Python concepts, AI-assisted Python programming, web application basics with Python, and the future of Python in AI. Upon completion, students will be able to write proficient Modern Python code, apply OOP principles, implement asynchronous programming, utilize AI-powered tools, develop basic web applications, and understand the future directions of Python in AI.

mindsdb
MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

kai
Kai is an AI-enabled tool that simplifies the process of modernizing application source code to a new platform. It uses Large Language Models (LLMs) guided by static code analysis, along with data from Konveyor. This data provides insights into how the organization solved similar problems in the past, helping streamline and automate the code modernization process. Kai assists developers by providing suggestions and solutions to common problems through Retrieval Augmented Generation (RAG), working with LLMs using Konveyor analysis reports about the codebase and generating solutions based on previously solved examples.

moon
Moon is a monitoring and alerting platform suitable for multiple domains, supporting various application scenarios such as cloud-native, Internet of Things (IoT), and Artificial Intelligence (AI). It simplifies operational work of cloud-native monitoring, boasts strong IoT and AI support capabilities, and meets diverse monitoring needs across industries. Capable of real-time data monitoring, intelligent alerts, and fault response for various fields.

awesome-generative-ai
Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

AppFlowy
AppFlowy.IO is an open-source alternative to Notion, providing users with control over their data and customizations. It aims to offer functionality, data security, and cross-platform native experience to individuals, as well as building blocks and collaboration infra services to enterprises and hackers. The tool is built with Flutter and Rust, supporting multiple platforms and emphasizing long-term maintainability. AppFlowy prioritizes data privacy, reliable native experience, and community-driven extensibility, aiming to democratize the creation of complex workplace management tools.

supervisely
Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.
For similar tasks

human
AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation

MiniAI-Face-Recognition-LivenessDetection-WindowsSDK
This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection and recognition with 3D passive face liveness detection (face anti-spoofing). Key Features: Face detection: The SDK utilizes advanced computer vision techniques to detect faces in images or video frames, enabling a wide range of applications. Face recognition: It can recognize known faces by comparing them with a pre-defined database of individuals. Age estimation: It can estimate the age of detected faces. Gender detection: It can determine the gender of detected faces. Liveness detection: It can detect whether a face is from a live person or a static image.

face-api
FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.

MiKaPo
MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

DeepSparkHub
DeepSparkHub is a repository that curates hundreds of application algorithms and models covering various fields in AI and general computing. It supports mainstream intelligent computing scenarios in markets such as smart cities, digital individuals, healthcare, education, communication, energy, and more. The repository provides a wide range of models for tasks such as computer vision, face detection, face recognition, instance segmentation, image generation, knowledge distillation, network pruning, object detection, 3D object detection, OCR, pose estimation, self-supervised learning, semantic segmentation, super resolution, tracking, traffic forecast, GNN, HPC, methodology, multimodal, NLP, recommendation, reinforcement learning, speech recognition, speech synthesis, and 3D reconstruction.

FaceAiSharp
FaceAiSharp is a .NET library designed for face-related computer vision tasks. It offers functionalities such as face detection, face recognition, facial landmarks detection, and eye state detection. The library utilizes pretrained ONNX models for accurate and efficient results, enabling users to integrate these capabilities into their .NET applications easily. With a focus on simplicity and performance, FaceAiSharp provides a local processing solution without relying on cloud services, supporting image-based face processing using ImageSharp. It is cross-platform compatible, supporting Windows, Linux, Android, and more.

Symposium2023
Symposium2023 is a project aimed at enabling Delphi users to incorporate AI technology into their applications. It provides generalized interfaces to different AI models, making them easily accessible. The project showcases AI's versatility in tasks like language translation, human-like conversations, image generation, data analysis, and more. Users can experiment with different AI models, change providers easily, and avoid vendor lock-in. The project supports various AI features like vision support and function calling, utilizing providers like Google, Microsoft Azure, Amazon, OpenAI, and more. It includes example programs demonstrating tasks such as text-to-speech, language translation, face detection, weather querying, audio transcription, voice recognition, image generation, invoice processing, and API testing. The project also hints at potential future research areas like using embeddings for data search and integrating Python AI libraries with Delphi.

FaceAISDK_Android
FaceAI SDK is an on-device offline face detection, recognition, liveness detection, anti-spoofing, and 1:N/M:N face search SDK. It enables quick integration to achieve on-device face recognition, face search, and other functions. The SDK performs all functions offline on the device without the need for internet connection, ensuring privacy and security. It supports various actions for liveness detection, custom camera management, and clear imaging even in challenging lighting conditions.
For similar jobs

sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.