diff --git a/.env.sample b/.env.sample
new file mode 100644
index 0000000..a249941
--- /dev/null
+++ b/.env.sample
@@ -0,0 +1,3 @@
+DB_NAME=jacket
+DB_USERNAME=root
+DB_PASSWORD=pukar11
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..172a802
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+venv/
+env/
+.env
diff --git a/app.py b/app.py
index 71e21ea..0868656 100644
--- a/app.py
+++ b/app.py
@@ -22,6 +22,13 @@
 from sklearn.preprocessing import LabelBinarizer
 from keras.models import load_model
 from keras import backend as K
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+DB_NAME = os.getenv("DB_NAME")
+DB_USERNAME = os.getenv("DB_USERNAME")
+DB_PASSWORD = os.getenv("DB_PASSWORD")
 
 
 # In[2]: Load Model
@@ -78,10 +85,12 @@ def rate(p):
 
 app = Flask(__name__)
 
-conn = MySQLdb.connect(host= "localhost",
-                  user="root",
-                  passwd="pukar11",
-                  db="rating")
+conn = MySQLdb.connect(
+                  host="localhost",
+                  user=DB_USERNAME,
+                  passwd=DB_USERNAME,
+                  db=DB_NAME
+                )
 c = conn.cursor()
 
 
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..512334b
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,13 @@
+numpy
+pandas
+tqdm
+tensorflow
+sklearn
+scikit-learn
+matplotlib
+keras
+nltk
+flask
+SQLAlchemy
+Flask-MySQL
+mysqlclient