LM Studio Local Server with TTS-Microsoft Voice Package

# Stat STT with "B", stop it with , "N". Type by pressing "M".  
# This will open a GUI just for typing.  You then switch back to the terminal for STT.

import warnings
import pyaudio
import wave
import whisper
import openai
import keyboard
import os
import pyttsx3
import tkinter as tk
from tkinter import simpledialog

# Initialize Text-to-Speech engine with Hazel's voice.  This applies to Windows users only.  Mac users can comment this block out.
engine = pyttsx3.init()
hazel_voice_id = "HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Speech\Voices\Tokens\TTS_MS_EN-GB_HAZEL_11.0"
engine.setProperty('voice', hazel_voice_id)
engine.say("Hello Videotronic Maker, How can I assist you today sir?")
engine.runAndWait()

# Define ANSI escape sequences for text color
colors = {
    "blue": "\033[94m",
    "bright_blue": "\033[96m",
    "orange": "\033[93m",
    "yellow": "\033[93m",
    "white": "\033[97m",
    "red": "\033[91m",
    "magenta": "\033[35m",
    "bright_magenta": "\033[95m",
    "cyan": "\033[36m",
    "bright_cyan": "\033[96m",
    "green": "\033[32m",
    "bright_green": "\033[92m",
    "reset": "\033[0m"
}

warnings.filterwarnings("ignore", message="FP16 is not supported on CPU")


openai.api_base = "http://localhost:1234/v1"
openai.api_key = "not-needed"

whisper_model = whisper.load_model("tiny")      # orig=base

FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 8000     # orig = 16000
CHUNK = 1024
audio = pyaudio.PyAudio()

def speak(text):
    engine.say(text)
    engine.runAndWait()

def record_audio():
    stream = audio.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
    print(f"{colors['green']}Start speaking... (Press 'N' to stop){colors['reset']}")
    frames = []

    while True:
        data = stream.read(CHUNK)
        frames.append(data)
        if keyboard.is_pressed('n'):
            print(f"{colors['red']}Stopping recording.{colors['reset']}")
            break

    stream.stop_stream()
    stream.close()

    wf = wave.open("temp_audio.wav", 'wb')
    wf.setnchannels(CHANNELS)
    wf.setsampwidth(audio.get_sample_size(FORMAT))
    wf.setframerate(RATE)
    wf.writeframes(b''.join(frames))
    wf.close()

    return "temp_audio.wav"

def get_user_input():
    """Create a GUI dialog for user input."""
    ROOT = tk.Tk()
    ROOT.withdraw()  # Hide the main Tkinter window
    user_input = simpledialog.askstring(title="Text Input", prompt="Type your input:")
    return user_input

def process_input(input_text):
    conversation = [
        {"role": "system", "content": "You are KITT, the assistant chatbot. My name is VideotronicMaker, the human and user. Your role is to assist the human, who is known as VideotronicMaker. Respond concisely and accurately, maintaining a friendly, respectful, and professional tone. Emphasize honesty, candor, and precision in your responses."},
        {"role": "user", "content": input_text}
    ]

    completion = openai.ChatCompletion.create(
        model="local-model",
        messages=conversation,
        temperature=0.7,
        top_p=0.9,  
        top_k=40    
    )

    assistant_reply = completion.choices[0].message.content
    print(f"{colors['magenta']}KITT:{colors['reset']} {assistant_reply}")
    speak(assistant_reply)

print(f"{colors['yellow']}Ready to record. (Press 'B' to start, 'M' to type){colors['reset']}")

while True:
    try:
        if keyboard.is_pressed('b'):  # Start recording when 'B' is pressed
            audio_file = record_audio()
            transcribe_result = whisper_model.transcribe(audio_file)
            transcribed_text = transcribe_result["text"]
            print(f"{colors['blue']}VTM:{colors['reset']} {transcribed_text}")
            process_input(transcribed_text)
            os.remove(audio_file)  # Cleanup

        elif keyboard.is_pressed('m'):  # Use the GUI for input when 'M' is pressed
            typed_input = get_user_input()
            if typed_input:  # Ensure input is not None or empty
                print(f"{colors['blue']}VTM typed:{colors['reset']} {typed_input}")  # Print the typed input in the terminal
                process_input(typed_input)

    except KeyboardInterrupt:
        print("\nExiting...")
        break  # Correctly placed to exit the loop upon a KeyboardInterrupt


audio.terminate()