rahulagowda004 / facial_emotion_detector

Facial_review_system

Workflows

1. Update config.yaml
2. Update params.yaml
3. Update the entity
4. Update the configuration manager in src config
5. Update the components
6. Update the pipeline
7. Update the main.py
8. Update the dvc.yaml
9. app.py

How to run?

STEPS:

Clone the repository

https://github.com/Rahulagowda004/Facial_review_system

STEP 01- Create a conda environment after opening the repository

python3 -m venv .venv

.venv\Scripts\activate

STEP 02- install the requirements

pip install -r requirements.txt

# Finally run the following command
python app.py

Now,

open up your local host and port

MLflow

• Documentation

• MLflow tutorial

cmd

• mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/Rahulagowda004/Facial_review_system.mlflow
MLFLOW_TRACKING_USERNAME=Rahulagowda004
MLFLOW_TRACKING_PASSWORD=d15121a9b37945a700eae5385a0ae54fa810a813
python script.py

Run this to export as env variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/Rahulagowda004/Facial_review_system.mlflow

export MLFLOW_TRACKING_USERNAME=Rahulagowda004

export MLFLOW_TRACKING_PASSWORD=d15121a9b37945a700eae5385a0ae54fa810a813