AI Dictate API

This project provides a Flask-based API for various AI-powered functionalities, including text tokenization, quote generation, vector search, question answering, audio transcription, and more. The API leverages Azure OpenAI services for processing and generating responses.

API Endpoints

• /summarize (GET): Summarizes text scraped from a given URL.
• /tokenize (POST): Tokenizes the input text.
• /quote (POST): Generates a quote based on the input text.
• /vectorsearch (POST): Performs a vector search on the input text.
• /ask_question (POST): Answers a question based on the input text.
• /dictate (POST): Transcribes audio input to text.
• /rag (POST): Performs a retrieval-augmented generation search.
• /resume (GET): Retrieves a resume.

Environment Variables

To run this project, you need to set the following environment variables:

• AZURE_OPENAI_API_KEY: The API Key for Azure Open AI.
• API_BASE: The base URL for the Azure OpenAI API (e.g., https://YOUR_RESOURCE_NAME.openai.azure.com/).
• API_VERSION: The version of the Azure OpenAI API to use (e.g., 2023-05-15).
• DEPLOYMENT_NAME: The name of the deployment (e.g., ai-demos).

Setup and Installation

1. Clone the repository:

   git clone https://github.com/theonemule/llmworkshop.git
   cd llmworkshop

Building the Docker Container

To build and run the Docker container for this project, follow these steps:

2. Ensure Docker is installed on your machine. You can download and install Docker from here.

3. Build the Docker image using the following command:

   docker build -t ai-demos-api .

4. Run the Docker container using the following command:

   docker run -d -p 5000:5000 --name ai-demos-api-container \
       -e AZURE_OPENAI_API_KEY="YOUR_AZURE_OPENAI_KEY" \
       -e API_BASE="https://YOUR_RESOURCE_NAME.openai.azure.com/" \
       -e API_VERSION="2023-05-15" \
       -e DEPLOYMENT_NAME="ai-demos" \
       ai-demos-api

   This command will:

   • Run the container in detached mode (-d).
   • Map port 5000 of the container to port 5000 on your host machine (-p 5000:5000).
   • Name the container ai-demos-api-container.

5. Verify the container is running by listing all running containers:

   docker ps

   You should see ai-demos-api-container listed.

6. Access the API at http://localhost:5000.

Usage

Once the application is running, you can access the app and API using a browser at http://yourhost:5000.