thanseefpp/Gemstone-Price-Prediction

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Gemstone Working Demo Streamlit

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Setup Environment

python3 -m venv env

Activate Environment

source env/bin/activate

1 - Installation

pip install -r requirements.txt

2 - To Start Training

Before running the pipeline make sure your pc is have at least 8GB Ram for faster execution

python3 run_pipeline.py

3 - To Run Application

streamlit run streamlit_app.py

4 - You can also use FASTAPI

Before Using the FastAPI

1 - You have to Install Docker on your machine 2 - before running any codes you have to make sure you created .env and done the setup

DATABASE_PORT=PORT_NUMBER
POSTGRES_PASSWORD=PASSWORD
POSTGRES_USER=USER_NAME
POSTGRES_DB=NAME_FOR_DB
POSTGRES_HOST=HOST_NAME
POSTGRES_HOSTNAME=HOST_ADDRESS

3 - Execute this command to start docker image for postgresql

docker-compose up -d

4 - Run the app.py File to get the api's

uvicorn app:app --reload

Clean Your Code

This will fix the indentation issues, whitespace and other basic formate

python3 clean_code.py

• For Pushing this code to your repo you have to install git lfs

git lfs install