OADS: Generate games and programs using OpenAI agents. Built on top of Microsoft Autogen.

Enable Web Search capabilities for OpenAI GPT model using function calling

Transform natural language into SQL queries using Azure OpenAI. Visualize database results with interactive charts and explore data effortlessly.

Sample application to demonstrate Azure OpenAI in Python

In this repository, you will discover how Streamlit, can work seamlessly with Azure OpenAI Service's Embedding and GPT 3.5 models. These tools make it possible to create a user-friendly web application that enables users to ask questions in natural language about a PDF file they have uploaded.

The Intelligent "ASKDOC" project combines the power of Langchain, Azure, OpenAI models, and Python to deliver an intelligent question-answering system, that scans your PDF documents and answer queries based on its contents. It can be queried using Human Natural Language.

This code repo demonstrates how to use the word embedding model from Azure OpenAI Service to perform a semantic search on a grocery store dataset. This enhanced/completed version used Streamlit to build a web user experience to semantic search and display the most relevant items

Share knowledge and code recipies (Python/R/...?) with colleagues and students. Help others get started quickly.

One bot was powered gpt4 and able to voice interaction, also image

Generate program code, enhance and debug run-logs using Azure OpenAI API

A knowledge base constructed based on Langchain+RAG+LLM

A mock Azure OpenAI API for seamless testing and development, supporting both streaming and non-streaming responses. Easily emulate OpenAI completions with token-based streaming in a local or Dockerized environment.

Converting English to MySQL queries using a custom GPT using a Flask API

BANK PROFIT NAVIGATOR : Extraction of crucial financial metrics from financial reports.

The Customer Service Agent with AutoGen uses Azure OpenAI GPT models and fuzzy matching to handle customer queries, featuring a General Agent for common issues and a Senior Agent for escalations, with CSV-based knowledge bases and group chat simulation.

AI-powered customer service system with a FastAPI backend and Streamlit frontend. It uses Azure OpenAI agents and CSV-based knowledge bases to handle queries, escalating complex issues seamlessly between general and senior agents.