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README.md

@@ -182,13 +182,13 @@ provisioned in the cloud.  Once the job is submitted, you can navigate to a
 provided job URL to view a variety of on-device performance metrics.
 ```python
 pose_detector_profile_job = hub.submit_profile_job(
-        model=pose_detector_target_model,
-        device=device,
-        )       
+    model=pose_detector_target_model,
+    device=device,
+)
 pose_landmark_detector_profile_job = hub.submit_profile_job(
-        model=pose_landmark_detector_target_model,
-        device=device,
-        )       
+    model=pose_landmark_detector_target_model,
+    device=device,
+)
 
 ```
 
@@ -199,17 +199,17 @@ on sample input data on the same cloud hosted device.
 ```python
 pose_detector_input_data = pose_detector_model.sample_inputs()
 pose_detector_inference_job = hub.submit_inference_job(
-        model=pose_detector_target_model,
-        device=device,
-        inputs=pose_detector_input_data,
-    )
+    model=pose_detector_target_model,
+    device=device,
+    inputs=pose_detector_input_data,
+)
 pose_detector_inference_job.download_output_data()
 pose_landmark_detector_input_data = pose_landmark_detector_model.sample_inputs()
 pose_landmark_detector_inference_job = hub.submit_inference_job(
-        model=pose_landmark_detector_target_model,
-        device=device,
-        inputs=pose_landmark_detector_input_data,
-    )
+    model=pose_landmark_detector_target_model,
+    device=device,
+    inputs=pose_landmark_detector_input_data,
+)
 pose_landmark_detector_inference_job.download_output_data()
 
 ```