AI Summit - App + AI Innovation - Empower Citizens with AI Powered Applications on Azure

All code is written using Jupyter Notebooks, you will need to install the Jupyter Notebooks extension in VS Code

Included in this Repo

Example code from MS docs Quickstarts on how to use Azure Cognitive Services APIs.

• aoai code

  • image generation using DALL-E 3 Azure Open AI Model --- must have Azure Open AI and DALL-E model deployed
  • Document App allows for document summary and translation using gpt-4o (or other models). You upload a txt or PDF file, once content is read you can build a summary by choosing the language and clicking Summarize. Or you can translate the content to other languages by choosing a language and click Translate.
  • Graphrag is a Langchain test project that builds relationships within a document using gpt-4o and LangChain framework. It stores the data into a Neo4j Graph Database. Once in Database you use LangChain framework to perform RAG on the graph DB to gather information.

• Asynchronous API

  • Document Translator (both Async and Sync in notebook)
    • Synchronized API will read all documents in a container, within a storage account, translate them and save them to a different container.
    • Async will create a button, when clicked you can "Upload" a document, it will read document, translate and return the translated text to the output. It does not save a translated copy to anything. At this time (Jan 2025) it is only reading .txt files.
  • Text to Speech
  • Speech to Text

• Synchronous API

  • Text analysis Keywords
  • Text analysis Sentiment Analysis

Pre Reqs

In Azure you will need the following services

• Azure Open AI

• Azure AI Services | Azure AI services multi-service account Used for Text_Sentiment and Text_Keywords notebooks

• Azure AI Services | Speech Service Used for Speech_to_text and Text_to_Speech notebooks

• Azure AI Services | Translatator Used for Document_Translation notebook

Make sure to create your Pyton environment and .env files. env_example.env.txt is a sample .env file. Rename to .env and enter your Azure service information.

To create, activate and update python virtual environment

1. Open new Terminal
2. Execute the following in terminal: virtualenv venv
   • If virtualenv is not installed you may have to pip install it pip install virtualenv
3. Activate environment by executing the following:
   • In Windows: .\venv\Scripts\activate
   • In Linux or Mac:source venv/bin/activate
4. Install Required Packages:pip install -r requirements.txt

At this time all code examples are writen in Python using Jupyter notebooks.

The examples provided are for learning purposes only, and are NOT concidered "Production Ready", use examples at your own risk.