rm proxy

app.py

@@ -5,9 +5,9 @@ import os
 
 grammar_prompt="""
 I want you to act as a grammar mistake checker and make the sentence more fluent. You take all the user input and auto correct it. Just reply to user input with correct grammar and reasons, DO NOT reply the context of the question of the user input. If the user input is grammatically correct and fluent, just ignore it. Sample of the conversation will show below: 
-
+#User
 Correct: today is a good day.
-
+#Assistant
 Original: today is a good day.
 Corrected: Today is a good day. 
 Reason: Capitalize the first letter of the sentence.

utils/asr.py

@@ -11,9 +11,9 @@ def get_recoginizer(**kwargs):
 
 def recognize_from_file(file=None):
     # This example requires environment variables named "SPEECH_KEY" and "SPEECH_REGION"
-    speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY'), region=os.environ.get('SPEECH_REGION'))
+    speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY',''), region=os.environ.get('SPEECH_REGION',''))
     speech_config.speech_recognition_language="en-US"
-    # speech_config.set_proxy("127.0.0.1", 2080)
+    
     audio_config = speechsdk.audio.AudioConfig(filename=file)
     
     speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)

utils/tts.py

@@ -2,15 +2,13 @@ import azure.cognitiveservices.speech as speechsdk
 import os
 
 # Create a speech synthesizer object
-speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY'), region=os.environ.get('SPEECH_REGION'))
+speech_config = speechsdk.SpeechConfig(subscription=os.environ.get('SPEECH_KEY',''), region=os.environ.get('SPEECH_REGION',''))
 speech_config.speech_synthesis_voice_name = "en-GB-ElliotNeural"; # Set the desired voice here
-speech_config.set_proxy("127.0.0.1", 2080)
 speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config)
 
 def tts(text)-> speechsdk.SpeechSynthesisResult:
     # Synthesize the text to audio
     speech_synthesis_result = speech_synthesizer.speak_text(text)
-    
     if speech_synthesis_result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
         print("Speech synthesized for text [{}]".format(text))
     elif speech_synthesis_result.reason == speechsdk.ResultReason.Canceled: