Style

examples/openai-server/README.md

@@ -1,3 +1,19 @@
+<!--
+Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
+
+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.
+-->
+
 Goal: Make a text-generation server that is compatible with the [OpenAI API Reference](https://platform.openai.com/docs/api-reference/introduction) so it can plug-in readily with applications that use the interface.
 
 ## Install requirements
@@ -98,7 +114,7 @@ completion = openai.Completion.create(
     model=model,
     prompt="def fib():",
     stream=stream,
-    max_tokenss=32)
+    max_tokens=32)
 
 print("Completion results:")
 if stream:

examples/openai-server/client.py

@@ -1,5 +1,20 @@
+# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
+#
+# 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 openai
 
+
 # Modify OpenAI's API values to use the DeepSparse API server.
 openai.api_key = "EMPTY"
 openai.api_base = "http://localhost:8000/v1"
@@ -13,10 +28,8 @@
 # Completion API
 stream = True
 completion = openai.Completion.create(
-    model=model,
-    prompt="def fib():",
-    stream=stream,
-    max_tokenss=32)
+    model=model, prompt="def fib():", stream=stream, max_tokens=32
+)
 
 print("Completion results:")
 if stream: