diff --git a/README.md b/README.md
index af18a81..f937e1e 100644
--- a/README.md
+++ b/README.md
@@ -56,3 +56,9 @@ python daemon.py
 ```
 and go to http://127.0.0.1:8000 to configure devicehive connection.
 Video stream is available on http://127.0.0.1:8000/events/
+
+### Tested Tensorflow version
+1. Tensorflow=1.4.0
+2. Tensorflow=1.9.0
+3. Tensorflow=1.12.0 (GPU version, cuda100=1.0, cudatoolkit=9.0)
+
diff --git a/eval.py b/eval.py
index d66179b..4695355 100644
--- a/eval.py
+++ b/eval.py
@@ -18,6 +18,7 @@
 import cv2
 import pafy
 import tensorflow as tf
+import os
 
 from models import yolo
 from log_config import LOGGING
@@ -38,8 +39,12 @@ def evaluate(_):
     if is_url(video):
         videoPafy = pafy.new(video)
         video = videoPafy.getbest(preftype="mp4").url
-
-    cam = cv2.VideoCapture(video)
+        cam = cv2.VideoCapture(video)
+    elif os.path.isfile(video):
+        cam = cv2.VideoCapture(video)
+    else:
+        cam = cv2.VideoCapture(0)
+		
     if not cam.isOpened():
         raise IOError('Can\'t open "{}"'.format(FLAGS.video))
 
@@ -120,7 +125,7 @@ def evaluate(_):
 
 
 if __name__ == '__main__':
-    tf.flags.DEFINE_string('video', 0, 'Path to the video file.')
+    tf.flags.DEFINE_string('video', '0', 'Path to the video file.')
     tf.flags.DEFINE_string('model_name', 'Yolo2Model', 'Model name to use.')
 
     tf.app.run(main=evaluate)
diff --git a/models/yolo.py b/models/yolo.py
index 673f8f8..a5affba 100644
--- a/models/yolo.py
+++ b/models/yolo.py
@@ -14,6 +14,7 @@
 
 
 import tensorflow as tf
+from tensorflow import keras
 
 from models.base import BaseModel
 from utils import yolo, general
@@ -98,9 +99,21 @@ def init(self):
         self._raw_inp = raw_inp
         self._raw_out = raw_out
         self._eval_inp = eval_inp
+        self._eval_out = eval_out
 
         self._sess.run(tf.global_variables_initializer())
 
+    def save(self):
+        export_path = './2'
+        print('Exporting trained model to', export_path)
+        #builder = tf.saved_model.builder.SavedModelBuilder(export_path)
+        tf.saved_model.simple_save(
+            self._sess,
+            export_path,
+            inputs={'input_image': self._eval_inp},
+            outputs={'output': self._eval_out})
+
+        
     def close(self):
         self._sess.close()
 
diff --git a/save.py b/save.py
new file mode 100644
index 0000000..6e7a39f
--- /dev/null
+++ b/save.py
@@ -0,0 +1,39 @@
+# Copyright (C) 2017 DataArt
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import tensorflow as tf
+
+from models import yolo
+from log_config import LOGGING
+from utils.general import format_predictions, find_class_by_name, is_url
+
+
+
+
+def save(_):
+    
+
+    model_cls = find_class_by_name('Yolo2Model', [yolo])
+    model = model_cls(input_shape=(640, 480, 3))
+    model.init()
+
+    model.save()
+    model.close()
+
+
+if __name__ == '__main__':
+    
+
+    tf.app.run(main=save)