Delete text_speech_utils.py

text_speech_utils.py

@@ -1,52 +0,0 @@
-import openai
-import sounddevice as sd
-import audiofile as af
-from scipy.io.wavfile import write
-from gtts import gTTS
-
-import multiprocessing
-import pyttsx3
-import keyboard
-
-def say(text):
-		p = multiprocessing.Process(target=pyttsx3.speak, args=(text,))
-		p.start()
-		while p.is_alive():
-			if keyboard.is_pressed('enter'):
-				p.terminate()
-			else:
-				continue
-		p.join()
-
-
-def record_audio(filename, sec, sr = 44100):
-    audio = sd.rec(int(sec * sr), samplerate=sr, channels=2, blocking=False)
-    sd.wait()
-    write(filename, sr, audio)
-
-def record_audio_manual(filename, sr = 44100):
-    input("  ** Press enter to start recording **")
-    audio = sd.rec(int(10 * sr), samplerate=sr, channels=2)
-    input("  ** Press enter to stop recording **")
-    sd.stop()
-    write(filename, sr, audio)
-
-def play_audio(filename):
-    signal, sr = af.read(filename)
-    sd.play(signal, sr)
-
-def transcribe_audio(filename):
-    audio_file= open(filename, "rb")
-    transcript = openai.Audio.transcribe("whisper-1", audio_file)
-    audio_file.close()
-    return transcript
-
-def translate_audio(filename):
-    audio_file= open(filename, "rb")
-    translation = openai.Audio.translate("whisper-1", audio_file)
-    audio_file.close()
-    return translation
-
-def save_text_as_audio(text, audio_filename):
-    myobj = gTTS(text=text, lang='en', slow=False)  
-    myobj.save(audio_filename)