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fetch-ml-app's Introduction

Receipts Prediction App

This application predicts the number of scanned receipts for each month in 2022 using a trained LSTM model based on 2021 data.

Prerequisites:

  • Docker installed on your machine. If you don't have Docker, you can download and install it from Docker's official website.

Setup and Run:

1. Clone the repository:

git clone https://github.com/hyeniii/fetch-ML-app
cd fetch-ML-apps

2. Build the Docker Image:

Inside the project directory, run the following command to build the Docker image:

docker build -t receipts-prediction-app .

3. Run the Docker Container:

After building the image, if running the Docker container for the first time use:

docker run -i -p 8501:8501 -e TRAIN=y receipts-prediction-app

if you trained once and only want to deploy the web, set env. variable TRAIN=n

4. Access the App:

Once the container is running, you can access the Streamlit app by opening your browser and navigating to:

http://localhost:8501

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