diff --git a/csv_metadata_quality/__init__.py b/csv_metadata_quality/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/csv_metadata_quality/__main__.py b/csv_metadata_quality/__main__.py
new file mode 100644
index 0000000..2e23872
--- /dev/null
+++ b/csv_metadata_quality/__main__.py
@@ -0,0 +1,4 @@
+from csv_metadata_quality import app
+
+if __name__ == '__main__':
+        app.run()
diff --git a/csv_metadata_quality/app.py b/csv_metadata_quality/app.py
new file mode 100644
index 0000000..223121d
--- /dev/null
+++ b/csv_metadata_quality/app.py
@@ -0,0 +1,17 @@
+import csv_metadata_quality.fix as fix
+import pandas as pd
+
+def run():
+    # Read all fields as strings so dates don't get converted from 1998 to 1998.0
+    #df = pd.read_csv('/home/aorth/Downloads/2019-07-26-Bioversity-Migration.csv', dtype=str)
+    #df = pd.read_csv('/tmp/quality.csv', dtype=str)
+    df = pd.read_csv('/tmp/omg.csv', dtype=str)
+
+    # Fix whitespace in all columns
+    for column in df.columns.values.tolist():
+        print(f'DEBUG: {column}')
+
+        df[column] = df[column].apply(fix.whitespace)
+
+    # Write
+    df.to_csv('/tmp/omg.fixed.csv', index=False)
diff --git a/fix.py b/csv_metadata_quality/fix.py
similarity index 63%
rename from fix.py
rename to csv_metadata_quality/fix.py
index c3bfe78..7a449da 100755
--- a/fix.py
+++ b/csv_metadata_quality/fix.py
@@ -1,14 +1,16 @@
-#!/usr/bin/env python3
-
 import pandas as pd
+import re
 
-def fix_whitespace(field):
+def alan():
+    print('Alan')
+
+
+def whitespace(field):
     """Fix whitespace issues.
 
     Return string with leading, trailing, and consecutive whitespace trimmed.
     """
 
-    import re
 
     # Skip fields with missing values
     if pd.isna(field):
@@ -38,17 +40,3 @@ def fix_whitespace(field):
 
     return new_field
 
-
-# Read all fields as strings so dates don't get converted from 1998 to 1998.0
-#df = pd.read_csv('/home/aorth/Downloads/2019-07-26-Bioversity-Migration.csv', dtype=str)
-#df = pd.read_csv('/tmp/quality.csv', dtype=str)
-df = pd.read_csv('/tmp/omg.csv', dtype=str)
-
-# Fix whitespace in all columns
-for column in df.columns.values.tolist():
-    print(f'DEBUG: {column}')
-
-    df[column] = df[column].apply(fix_whitespace)
-
-# Write
-df.to_csv('/tmp/omg.fixed.csv', index=False)