Fix TF Lite import to use recommended 'tf' symbols instead of deep imports

PiperOrigin-RevId: 274190027

tensorflow/lite/examples/python/BUILD

@@ -10,6 +10,6 @@ py_binary(
     python_version = "PY3",
     srcs_version = "PY2AND3",
     deps = [
-        "//tensorflow/lite/python:lite",
+        "//tensorflow:tensorflow_py",
     ],
 )

tensorflow/lite/examples/python/label_image.py

@@ -23,7 +23,7 @@ import numpy as np
 
 from PIL import Image
 
-from tensorflow.lite.python.interpreter import Interpreter
+import tensorflow as tf # TF2
 
 
 def load_labels(filename):
@@ -58,7 +58,7 @@ if __name__ == '__main__':
       help='input standard deviation')
   args = parser.parse_args()
 
-  interpreter = Interpreter(model_path=args.model_file)
+  interpreter = tf.lite.Interpreter(model_path=args.model_file)
   interpreter.allocate_tensors()
 
   input_details = interpreter.get_input_details()

tensorflow/lite/g3doc/guide/python.md

@@ -78,16 +78,28 @@ For example, after you install the package above, copy and run the
 [`label_image.py`](
 https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/examples/python/)
 file. It will (probably) fail because you don't have the `tensorflow` library
-installed. To fix it, simply edit this line of the file:
+installed. To fix it, edit this line of the file:
 
 ```python
-from tensorflow.lite.python.interpreter import Interpreter
+import tensorflow as tf
 ```
 
 So it instead reads:
 
 ```python
-from tflite_runtime.interpreter import Interpreter
+import tflite_runtime.interpreter as tflite
+```
+
+And then change this line:
+
+```python
+interpreter = tf.lite.Interpreter(model_path=args.model_file)
+```
+
+So it reads:
+
+```python
+interpreter = tflite.Interpreter(model_path=args.model_file)
 ```
 
 Now run `label_image.py` again. That's it! You're now executing TensorFlow Lite