Jivani FastAPI Backend

A FastAPI backend service that uses a fine-tuned T5 model for natural language command interpretation.

Setup

1. Create a virtual environment:

python -m venv .venv
.venv\Scripts\activate

2. Install dependencies:

pip install fastapi transformers torch uvicorn

Running the Application

Start the FastAPI server:

python -m uvicorn main:app --reload

The server will be available at http://127.0.0.1:8000

API Endpoints

GET /

Health check endpoint that returns application name.

POST /interpret-command

Interprets natural language commands and returns structured event data.

Request Body:

• command: string (natural language command)

Example Request:

{
    "command": "Plan an event titled John's birthday party and details Organize a small get-together at home priority High and date 2025-05-10 under Social category"
}

Example Response:

{
    "action": "create_event",
    "title": "John's birthday party",
    "description": "Organize a small get-together at home",
    "priority": "High",
    "date": "2025-05-10",
    "classification": "Social"
}

Model Information

The application uses a fine-tuned T5 model located in the ./t5 directory for natural language processing.