py27 strikes again (Azure#20136)

Author: kristapratico

sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_extract_summary_async.py

@@ -45,7 +45,7 @@ async def sample_extractive_summarization_async():
         "Services, I have been working with a team of amazing scientists and engineers to turn this quest into a "
         "reality. In my role, I enjoy a unique perspective in viewing the relationship among three attributes of "
         "human cognition: monolingual text (X), audio or visual sensory signals, (Y) and multilingual (Z). At the "
-        "intersection of all three, there's magic—what we call XYZ-code as illustrated in Figure 1—a joint "
+        "intersection of all three, there's magic-what we call XYZ-code as illustrated in Figure 1-a joint "
         "representation to create more powerful AI that can speak, hear, see, and understand humans better. "
         "We believe XYZ-code will enable us to fulfill our long-term vision: cross-domain transfer learning, "
         "spanning modalities and languages. The goal is to have pretrained models that can jointly learn "

sdk/textanalytics/azure-ai-textanalytics/samples/sample_extract_summary.py

@@ -46,7 +46,7 @@ def sample_extractive_summarization():
         "Services, I have been working with a team of amazing scientists and engineers to turn this quest into a "
         "reality. In my role, I enjoy a unique perspective in viewing the relationship among three attributes of "
         "human cognition: monolingual text (X), audio or visual sensory signals, (Y) and multilingual (Z). At the "
-        "intersection of all three, there's magic—what we call XYZ-code as illustrated in Figure 1—a joint "
+        "intersection of all three, there's magic-what we call XYZ-code as illustrated in Figure 1-a joint "
         "representation to create more powerful AI that can speak, hear, see, and understand humans better. "
         "We believe XYZ-code will enable us to fulfill our long-term vision: cross-domain transfer learning, "
         "spanning modalities and languages. The goal is to have pretrained models that can jointly learn "