Create text_speech_utils.py

text_speech_utils.py

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+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)
+
+