Update participant_management.py

Fix the issue introduced by merging

Author: rogers140

dialogflow/participant_management.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 
-# Copyright 2021 Google LLC
+# Copyright 2023 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -68,60 +68,59 @@ def analyze_content_text(project_id, conversation_id, participant_id, text):
         participant=participant_path, text_input=text_input
     )
     print("AnalyzeContent Response:")
-    print(f"Reply Text: {response.reply_text}")
-    print(f"Response: {response.human_agent_suggestion_results}")
-    # assert response.human_agent_suggestion_results=="test"
+    print("Reply Text: {}".format(response.reply_text))
+
     for suggestion_result in response.human_agent_suggestion_results:
         if suggestion_result.error is not None:
-            print(f"Error: {suggestion_result.error.message}")
+            print("Error: {}".format(suggestion_result.error.message))
         if suggestion_result.suggest_articles_response:
             for answer in suggestion_result.suggest_articles_response.article_answers:
-                print(f"Article Suggestion Answer: {answer.title}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Article Suggestion Answer: {}".format(answer.title))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_faq_answers_response:
             for answer in suggestion_result.suggest_faq_answers_response.faq_answers:
-                print(f"Faq Answer: {answer.answer}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Faq Answer: {}".format(answer.answer))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_smart_replies_response:
             for (
                 answer
             ) in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
-                print(f"Smart Reply: {answer.reply}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Smart Reply: {}".format(answer.reply))
+                print("Answer Record: {}".format(answer.answer_record))
 
     for suggestion_result in response.end_user_suggestion_results:
         if suggestion_result.error:
             print("Error: {}".format(suggestion_result.error.message))
         if suggestion_result.suggest_articles_response:
             for answer in suggestion_result.suggest_articles_response.article_answers:
-                print(f"Article Suggestion Answer: {answer.title}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Article Suggestion Answer: {}".format(answer.title))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_faq_answers_response:
             for answer in suggestion_result.suggest_faq_answers_response.faq_answers:
-                print(f"Faq Answer: {answer.answer}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Faq Answer: {}".format(answer.answer))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_smart_replies_response:
             for (
                 answer
             ) in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
-                print(f"Smart Reply: {answer.reply}")
-                print(f"Answer Record: {answer.answer_record}")
+                print("Smart Reply: {}".format(answer.reply))
+                print("Answer Record: {}".format(answer.answer_record))
 
     return response
 
 
 # [END dialogflow_analyze_content_text]
 
-
-# [START dialogflow_analyze_content_audio_stream]
-def analyze_content_audio_stream(conversation_id, participant_id, audio_file_path):
+# [START dialogflow_analyze_content_audio]
+def analyze_content_audio(
+    conversation_id, participant_id, audio_file_path
+):
     """Analyze audio content for END_USER with audio files.
 
     Args:
         conversation_id: Id of the conversation.
         participant_id: Id of the participant.
-        audio_file_path: audio file in wav/mp3 format contains utterances of END_USER.
-    """
+        audio_file_path: audio file in wav/mp3 format contains utterances of END_USER."""
 
     # Initialize client that will be used to send requests across threads. This
     # client only needs to be created once, and can be reused for multiple requests.
@@ -141,6 +140,7 @@ def analyze_content_audio_stream(conversation_id, participant_id, audio_file_pat
     # Generates requests based on the audio files. Will by default use the first channel as
     # END_USER, and second channel as HUMAN_AGENT.
     def request_generator(audio_config, audio_file_path):
+
         # The first request contains the configuration.
         yield dialogflow.StreamingAnalyzeContentRequest(
             participant=participant_path, audio_config=audio_config