diff --git a/src/new_test_database.db b/src/new_test_database.db
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index 8361806..0000000
Binary files a/src/new_test_database.db and /dev/null differ
diff --git a/src/update_database.py b/src/update_database.py
deleted file mode 100644
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--- a/src/update_database.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import sqlite3
-import pandas as pd
-
-# Connect to your SQLite database
-db_path = 'new_test_database.db'  # Change this to your actual database path
-conn = sqlite3.connect(db_path)
-cursor = conn.cursor()
-
-# Drop existing tables if they exist
-cursor.execute("DROP TABLE IF EXISTS breed_requirements")
-cursor.execute("DROP TABLE IF EXISTS breeds")
-
-# Recreate 'breeds' table
-cursor.execute("""
-    CREATE TABLE breeds (
-        id INTEGER PRIMARY KEY,
-        target TEXT
-    )
-""")
-
-# Recreate 'breed_requirements' table
-cursor.execute("""
-    CREATE TABLE breed_requirements (
-        id INTEGER PRIMARY KEY,
-        breed_id INTEGER,
-        requirement_type TEXT,
-        requirement_value TEXT,
-        FOREIGN KEY (breed_id) REFERENCES breeds (id)
-    )
-""")
-
-# Read CSV data into a pandas DataFrame
-csv_path = 'updated_breeding_pairs.csv'  # Change this to your actual CSV file path
-df = pd.read_csv(csv_path, header=None, names=['base', 'mate', 'offspring'])
-
-# Function to insert new breeds and requirements into the database
-def insert_breed_and_requirements(base, mate, offspring):
-    # Insert breed into 'breeds' table
-    cursor.execute("INSERT INTO breeds (target) VALUES (?)", (offspring,))
-    conn.commit()
-
-    # Get the newly inserted breed_id
-    breed_id = cursor.lastrowid
-
-    # Insert requirements into 'breed_requirements' table
-    cursor.execute("INSERT INTO breed_requirements (breed_id, requirement_type, requirement_value) VALUES (?, 'base', ?)", (breed_id, base))
-    cursor.execute("INSERT INTO breed_requirements (breed_id, requirement_type, requirement_value) VALUES (?, 'mate', ?)", (breed_id, mate))
-    conn.commit()
-
-# Iterate through each row in the DataFrame and insert data into the database
-for index, row in df.iterrows():
-    insert_breed_and_requirements(row['base'], row['mate'], row['offspring'])
-
-# Close the database connection
-conn.close()