modify the python code with a speech recognition input. 
import tkinter as tk
from tkinter import ttk
from llama_cpp import Llama
import pyttsx3

llm = Llama(model_path="C:/Users/NAME_1/AppData/Local/nomic.ai/GPT4All/ggml-v3-13b-hermes-q5_1.bin")

def generate_output():
    input_text = input_field.get()
    output = llm(input_text, max_tokens=100, stop=["Q:", "\n"], echo=False)
    output_field.configure(state='normal')
    output_field.delete(1.0, tk.END)
    output_field.insert(tk.END, output)
    output_field.configure(state='disabled')
    speak_output(output)

def speak_output(text):
    engine = pyttsx3.init()
    engine.say(text)
    engine.runAndWait()

    #engine = pyttsx3.init()
    #engine.setProperty('rate', 150)
    #engine.say(text)
    #engine.runAndWait()




# Create the main window
window = tk.Tk()
window.title("GPT-4All")

# Create the input field
input_label = ttk.Label(window, text="Enter your input:")
input_label.grid(column=0, row=0, padx=10, pady=10)

input_field = ttk.Entry(window, width=50)
input_field.grid(column=1, row=0, padx=10, pady=10)

# Create the generate button
generate_button = ttk.Button(window, text="Generate", command=generate_output)
generate_button.grid(column=2, row=0, padx=10, pady=10)

# Create the output field
output_label = ttk.Label(window, text="Output:")
output_label.grid(column=0, row=1, padx=10, pady=10)

output_field = tk.Text(window, wrap=tk.WORD, width=60, height=10, state='disabled')
output_field.grid(column=1, row=1, padx=10, pady=10)

# Start the main loop
window.mainloop()
