Fix cloudevents import in Python code

code-samples/eventing/bookstore-sample-app/solution/ML-bad-word-filter/function/func.py

@@ -1,5 +1,5 @@
 import logging
-from cloudevents.http import CloudEvent
+from cloudevents.core.v1.event import CloudEvent
 from profanity_check import predict
 
 def new():

code-samples/eventing/bookstore-sample-app/solution/ML-bad-word-filter/tests/test_func.py

@@ -10,7 +10,7 @@
 import json
 import asyncio
 import pytest
-from cloudevents.http import CloudEvent
+from cloudevents.core.v1.event import CloudEvent
 from function import new
 
 

code-samples/eventing/bookstore-sample-app/solution/ML-sentiment-analysis/function/func.py

@@ -1,5 +1,5 @@
 import logging
-from cloudevents.http import CloudEvent
+from cloudevents.core.v1.event import CloudEvent
 from textblob import TextBlob
 import textblob
 

code-samples/eventing/bookstore-sample-app/solution/ML-sentiment-analysis/tests/test_func.py

@@ -10,7 +10,7 @@
 import json
 import asyncio
 import pytest
-from cloudevents.http import CloudEvent
+from cloudevents.core.v1.event import CloudEvent
 from function import new
 
 

docs/blog/articles/ai_functions_llama_stack.md

@@ -141,7 +141,7 @@ See the entire code:
 # Function
 import logging
 import os
-from cloudevents.http import CloudEvent
+from cloudevents.core.v1.event import CloudEvent
 from llama_stack_client import LlamaStackClient
 
 def new():

docs/versioned/bookstore/page-2/sentiment-analysis-service-for-bookstore-reviews.md

@@ -114,7 +114,7 @@ You can replace the generated code with the sentiment analysis logic. You can us
 
     ```python
     import logging
-    from cloudevents.http import CloudEvent
+    from cloudevents.core.v1.event import CloudEvent
     from textblob import TextBlob
 
     def new():

docs/versioned/bookstore/page-3/create-bad-word-filter-service.md

@@ -82,7 +82,7 @@ func create -l python bad-word-filter -t cloudevents
 
     ```python
     import logging
-    from cloudevents.http import CloudEvent
+    from cloudevents.core.v1.event import CloudEvent
     from profanity_check import predict
 
     def new():