diff --git a/README.md b/README.md
index fbd93279..2d58d754 100644
--- a/README.md
+++ b/README.md
@@ -10,8 +10,14 @@ $ pip install -e .
 
 ```python
 import unboxapi
-client = unboxapi.UnboxClient()
+client = unboxapi.UnboxClient(email='you@domain.com', password='your_password')
 
-# Package as a bento service and upload to Firebase Storage
-client.add(function=predict_function, model=any_model)
+# Package a model as a bento service and upload to Firebase
+client.add_model(function=predict_function, model=any_model)
+
+# Upload a dataset to Firebase
+client.add_dataset(file_path='path/to/dataset.csv', name='dataset_name')
+
+# Upload a pandas data frame to Firebase
+client.add_dataframe(df='dataframe_object', name='dataset_name')
 ```
diff --git a/unboxapi/__init__.py b/unboxapi/__init__.py
index fdc79387..3529739f 100644
--- a/unboxapi/__init__.py
+++ b/unboxapi/__init__.py
@@ -1,4 +1,10 @@
-import bentoml, getpass, os, pandas as pd, tarfile, tempfile, uuid
+import bentoml
+import getpass
+import os
+import pandas as pd
+import tarfile
+import tempfile
+import uuid
 
 from bentoml.saved_bundle.bundler import _write_bento_content_to_dir
 from bentoml.utils.tempdir import TempDirectory
@@ -15,7 +21,6 @@ def __init__(self, email: str = None, password: str = None):
         self.flask_api = FlaskAPI()
         self.firebase_api = FirebaseAPI(email=email, password=password)
 
-
     def add_model(self, function, model):
         bento_service = create_template_model('sklearn', 'text')
         bento_service.pack('model', model)
@@ -31,10 +36,9 @@ def add_model(self, function, model):
                 with tarfile.open(tarfile_path, mode='w:gz') as tar:
                     tar.add(temp_dir, arcname=bento_service.name)
 
-                    user_id = self.firebase_api.user['localId']
-                    remote_path = f'users/{user_id}/models/{model_id}'
-                    self.firebase_api.upload(remote_path, tarfile_path)
-
+                user_id = self.firebase_api.user['localId']
+                remote_path = f'users/{user_id}/models/{model_id}'
+                self.firebase_api.upload(remote_path, tarfile_path)
 
     def add_dataset(self, file_path: str, name: str):
         # For now, let's upload straight to Firebase Storage from here
@@ -51,7 +55,6 @@ def add_dataset(self, file_path: str, name: str):
                                                           id_token)
         return response.json()
 
-
     def add_dataframe(self, df: pd.DataFrame, name: str):
         with tempfile.TemporaryDirectory() as tmp_dir:
             dataset_file_path = os.path.join(tmp_dir, str(uuid.uuid1()))