Workflow

From Lab to Production Projects using Streamlit

Setup

To install the dependencies, you can simply follow this steps.

Clone the project repository:

git clone https://github.com/jzsmoreno/Workflow.git
cd Workflow

To create and activate the virtual environment, follow these steps:

Using conda

$ conda create -n streamlit python=3.7

# Activate the virtual environment:
$ conda activate streamlit

# To deactivate (when you're done):
(streamlit)$ conda deactivate

Using virtualenv

# In this case I'm supposing that your latest python3 version is 3.7
$ virtualenv streamlit --python=python3

# Activate the virtual environment:
$ source streamlit/bin/activate

# To deactivate (when you're done):
(streamlit)$ deactivate

To install the requirements using pip, once the virtual environment is active:

(streamlit)$ pip install -r requirements.txt

Running the script

Finally, if you want to run the main script:

$ streamlit run example/app.py

Other models

If you want to use another AI model, for example the forecasting model, run the following command line:

$ streamlit run forecasting/app.py