diff --git a/setup.py b/setup.py
index e69de29..b31ce24 100644
--- a/setup.py
+++ b/setup.py
@@ -0,0 +1,18 @@
+from setuptools import setup
+
+setup(
+    author='Ryan Hamilton',
+    author_email='ryan.hamilton@ec.gc.ca',
+    name='ee_data_eng',
+    version='0.1.0',
+    package_dir={'': 'src'},
+    install_requires=[
+        'click',
+        'geopandas',
+        'pandas'
+    ],
+    entry_points='''
+        [console_scripts]
+        ee_data_eng=ee_data_eng:cli
+    '''
+)
\ No newline at end of file
diff --git a/src/ee_data_eng.py b/src/ee_data_eng.py
index e69de29..e5512b4 100644
--- a/src/ee_data_eng.py
+++ b/src/ee_data_eng.py
@@ -0,0 +1,51 @@
+import click
+
+import geopandas as gpd
+import pandas as pd
+
+from pathlib import Path
+
+"""
+v0.1.0
+- Add click command line interface
+- Args, training_data, validation_data
+- take both spatial file and combine them into one dataframe and save it to a file
+- class_int 
+"""
+
+
+@click.command()
+@click.argument('training_data', type=click.Path(exists=False))
+@click.argument('validation_data', type=click.Path(exists=False))
+@click.option('--label_col', default="class_name", help='Column that contains the class labels')
+@click.option('--output', default="processed/combined.shp", help='Output file path')
+def cli(training_data, validation_data, label_col, output):
+    click.echo(f'Loading training data from {training_data}')
+    gdf_train = gpd.read_file(training_data)
+    gdf_train['split'] = 'train'
+    click.echo(gdf_train.head())
+    
+    click.echo(f'Loading validation data from {validation_data}')
+    gdf_val = gpd.read_file(validation_data)
+    gdf_val['split'] = 'test'
+    click.echo(gdf_val.head())
+    
+    click.echo('Combining training and validation data')
+    gdf = pd.concat([gdf_train, gdf_val])
+
+    # to create lookup table need key, value
+    # key is the class_name
+    # value is the class_int
+    key = gdf[label_col].unique().tolist()
+    value = list(range(1, len(key)+1))
+    lookup = pd.DataFrame({'class_name': key, 'class_int': value})
+    click.echo(lookup)
+    gdf = gdf.merge(lookup, on='class_name')
+    
+    gdf = gdf[[label_col, 'class_int', 'split', 'geometry']]
+
+    output = Path(output)
+    if not output.parent.exists():
+        output.parent.mkdir(exist_ok=True)
+    
+    gdf.to_file(output, driver='ESRI Shapefile')