Jaqpotpy Torch Inference

Jaqpotpy Torch Inference is a web server designed to run pretrained PyTorch models and return inference results. This server provides a simple API to perform predictions using your pretrained models.

Features

• Load and run pretrained PyTorch models.
• Expose a RESTful API for inference requests.

Installation

Step 1: Clone the Repository

git clone https://github.com/ntua-unit-of-control-and-informatics/jaqpotpy-torch-inference.git
cd jaqpotpy-torch-inference

Step 2: Create a Virtual Environment and Activate It

python3 -m venv venv
source venv/bin/activate

Step 3: Install the Required Packages

pip install -r requirements.txt

Usage

Start the Server

python main.py