Apply suggestions from code review

Co-authored-by: Sabine <sabine.nyholm@neptune.ai>

README.md

@@ -1,3 +1,3 @@
-# Neptune - Tensorboard integration
+# Neptune-TensorBoard integration
 
 See [the official docs](https://docs.neptune.ai/integrations/tensorboard/).

src/neptune_tensorboard/integration/__init__.py

@@ -57,8 +57,8 @@ def check_tf_version():
         except AttributeError:
             # user facing
             message = (
-                f"Unrecognized tensorflow version: {version}. Please make sure "
-                "that the tensorflow version is >={MIN_TF_VERSION}"
+                f"Unrecognized TensorFlow version: {version}. Please make sure "
+                "that the TensorFlow version is >={MIN_TF_VERSION}"
             )
             raise Exception(message)
 
@@ -117,7 +117,7 @@ def check_tensorboardx_version():
 
 # user facing
 FRAMEWORK_NOT_FOUND_WARNING_MSG = (
-    "neptune-tensorboard: Tensorflow or PyTorch or tensorboardX was not found, ",
+    "neptune-tensorboard: TensorFlow or PyTorch or tensorboardX was not found, ",
     "please ensure that it is available.",
 )
 

src/neptune_tensorboard/sync/sync_impl.py

@@ -10,7 +10,7 @@
     import tbparse
 except ModuleNotFoundError:
     # user facing
-    raise ModuleNotFoundError("neptune-tensorboard: require `tbparse` for exporting logs (pip install tbparse)")
+    raise ModuleNotFoundError("neptune-tensorboard: tbparse is required for exporting logs. Install it with: pip install tbparse")
 
 
 def compute_md5_hash(path):
@@ -71,7 +71,7 @@ def _export_to_neptune_run(self, path):
 
         if self._experiment_exists(hash_run_id, self._project):
             # user facing
-            click.echo(f"{path} was already synced")
+            click.echo(f"{path} was already synchronized")
             return
 
         with neptune.init_run(custom_run_id=hash_run_id, project=self._project, api_token=self._api_token) as run: