diff --git a/src/new_test_database.db b/src/new_test_database.db
new file mode 100644
index 0000000..8361806
Binary files /dev/null and b/src/new_test_database.db differ
diff --git a/src/update_database.py b/src/update_database.py
new file mode 100644
index 0000000..54272c6
--- /dev/null
+++ b/src/update_database.py
@@ -0,0 +1,55 @@
+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()
diff --git a/src/updated_breeding_pairs.csv b/src/updated_breeding_pairs.csv
index cdc69ef..32d431b 100644
--- a/src/updated_breeding_pairs.csv
+++ b/src/updated_breeding_pairs.csv
@@ -1,4 +1,3 @@
-#1,#2,Offspring
 beast,dragon,Almiraj
 Saccer,dragon,Antbear
 beast,PutrePup,Arrowdog