test.py

# # Python program to translate
# # speech to text and text to speech


# import speech_recognition as sr
# import pyttsx3

# # Initialize the recognizer
# r = sr.Recognizer()

# # Function to convert text to
# # speech
# def SpeakText(command):
	
# 	# Initialize the engine
# 	engine = pyttsx3.init()
# 	engine.say(command)
# 	engine.runAndWait()
	
	
# # Loop infinitely for user to
# # speak

# while(1):
	
# 	# Exception handling to handle
# 	# exceptions at the runtime
# 	try:
		
# 		# use the microphone as source for input.
# 		with sr.Microphone() as source2:
			
# 			# wait for a second to let the recognizer
# 			# adjust the energy threshold based on
# 			# the surrounding noise level
# 			r.adjust_for_ambient_noise(source2, duration=0.2)
			
# 			#listens for the user's input
# 			audio2 = r.listen(source2)
			
# 			# Using google to recognize audio
# 			MyText = r.recognize_google(audio2)
# 			MyText = MyText.lower()

# 			print("Did you say ",MyText)
# 			SpeakText(MyText)
			
# 	except sr.RequestError as e:
# 		print("Could not request results; {0}".format(e))
		
# 	except sr.UnknownValueError:
# 		print("unknown error occurred")

import speech_recognition as sr

def record_and_convert():

    recognizer = sr.Recognizer()

    with sr.Microphone() as source:
        print("Please speak something...")
        # recognizer.adjust_for_ambient_noise(source)
        audio = recognizer.listen(source)

    try:
        text = recognizer.recognize_google(audio)
        return text
    except sr.UnknownValueError:
        print("Sorry, could not understand audio.")
    except sr.RequestError as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    converted_text = record_and_convert()
    if converted_text:
        print("Converted Text:", converted_text)