513 lines
22 KiB
Python
513 lines
22 KiB
Python
import tkinter as tk
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import platform
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from tkinter import ttk, messagebox, simpledialog, Menu
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import os
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import pyaudio
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import wave
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import webbrowser
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from openai import OpenAI
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from dotenv import load_dotenv
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from pathlib import Path
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# Load environment variables
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load_dotenv()
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class Application(tk.Tk):
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def __init__(self):
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super().__init__()
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self.title("Scorchsoft Text to Mic")
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self.style = ttk.Style(self)
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if self.tk.call('tk', 'windowingsystem') == 'aqua':
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self.style.theme_use('aqua')
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else:
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self.style.theme_use('clam') # Fallback to 'clam' on non-macOS systems
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# Ensure API Key is loaded or prompted for before initializing GUI components
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self.api_key = self.get_api_key()
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if not self.api_key:
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messagebox.showinfo("API Key Needed", "Please provide your OpenAI API Key.")
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self.destroy()
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return
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self.client = OpenAI(api_key=self.api_key)
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# Initializing device index variables before they are used
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self.device_index = tk.StringVar(self)
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self.device_index_2 = tk.StringVar(self)
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self.available_devices = self.get_audio_devices() # Load audio devices
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self.create_menu()
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self.initialize_gui()
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def show_version(self):
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instruction_window = tk.Toplevel(self)
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instruction_window.title("App Version")
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instruction_window.geometry("300x150") # Width x Height
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instructions = """Version 1.0.2\n\n App by Scorchsoft.com"""
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tk.Label(instruction_window, text=instructions, justify=tk.LEFT, wraplength=280).pack(padx=10, pady=10)
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# Add a button to close the window
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ttk.Button(instruction_window, text="Close", command=instruction_window.destroy).pack(pady=(10, 0))
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def create_menu(self):
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self.menubar = Menu(self)
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self.config(menu=self.menubar)
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# File or settings menu
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settings_menu = Menu(self.menubar, tearoff=0)
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self.menubar.add_cascade(label="Settings", menu=settings_menu)
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settings_menu.add_command(label="Change API Key", command=self.change_api_key)
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# Playback menu
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playback_menu = Menu(self.menubar, tearoff=0)
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self.menubar.add_cascade(label="Playback", menu=playback_menu)
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playback_menu.add_command(label="Play Last Audio", command=self.play_last_audio)
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#playback_menu.add_command(label="Input Speech to Text", command=self.input_speech_to_text)
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# Help menu
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help_menu = Menu(self.menubar, tearoff=0)
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self.menubar.add_cascade(label="Help", menu=help_menu)
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help_menu.add_command(label="How to Use", command=self.show_instructions)
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help_menu.add_command(label="Terms of Use and Licence", command=self.show_terms_of_use)
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help_menu.add_command(label="Version", command=self.show_version)
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def initialize_gui(self):
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self.device_index = tk.StringVar(self)
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self.device_index_2 = tk.StringVar(self)
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self.device_index.set("Select Device")
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self.device_index_2.set("None")
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# Fetching available devices
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available_devices = self.get_audio_devices()
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device_names = list(available_devices.keys())
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main_frame = ttk.Frame(self, padding="20")
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main_frame.grid(column=0, row=0, sticky=(tk.W, tk.E, tk.N, tk.S))
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self.columnconfigure(0, weight=1)
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self.rowconfigure(0, weight=1)
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#ttk.Label(main_frame, text="Scorchsoft Text to Mic").grid(column=0, row=0, columnspan=2, pady=(0, 10)) # Increased padding after the title
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#ttk.Label(main_frame, text="This tool uses OpenAI's text-to-speech to stream audio.").grid(column=0, row=1, columnspan=2, pady=(0, 10))
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# Voice Selection
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self.voice_var = tk.StringVar()
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voices = ['alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer']
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ttk.Label(main_frame, text="Voice").grid(column=0, row=0, sticky=tk.W, pady=(10, 10)) # Padding added
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voice_menu = ttk.OptionMenu(main_frame, self.voice_var,'fable', *voices)
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voice_menu.grid(column=1, row=0, sticky=tk.W)
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# Select Primary audio device
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ttk.Label(main_frame, text="Primary Playback Device:").grid(column=0, row=2, sticky=tk.W, pady=(10, 10)) # Padding added
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primary_device_menu = ttk.OptionMenu(main_frame, self.device_index, *self.available_devices.keys())
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primary_device_menu.grid(column=1, row=2, sticky=tk.W)
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# Select Secondary audio device
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ttk.Label(main_frame, text="Secondary Playback Device (optional):").grid(column=0, row=3, sticky=tk.W, pady=(5, 10)) # Padding added
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secondary_device_menu = ttk.OptionMenu(main_frame, self.device_index_2, "None", *self.available_devices.keys())
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secondary_device_menu.grid(column=1, row=3, sticky=tk.W)
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# Specify the text to read
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ttk.Label(main_frame, text="Text to Read:").grid(column=0, row=4, sticky=tk.W, pady=(10, 0))
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self.text_input = tk.Text(main_frame, height=10, width=50)
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self.text_input.grid(column=0, row=5, columnspan=2, pady=(0, 20)) # Padding added before submit button
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submit_button = ttk.Button(main_frame, text="Play Audio", command=self.submit_text)
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submit_button.grid(column=0, row=6, columnspan=2, pady=(0, 20))
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#Credits
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info_label = tk.Label(main_frame, text="Created by Scorchsoft.com App Development", fg="blue", cursor="hand2")
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info_label.grid(column=0, row=7, columnspan=2, pady=(0, 0))
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info_label.bind("<Button-1>", lambda e: self.open_scorchsoft())
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# Recording button setup
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self.recording = False # State to check if currently recording
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self.record_button = ttk.Button(main_frame, text="Rec", command=self.toggle_recording)
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self.record_button.grid(column=0, row=8, columnspan=2, pady=(10, 0))
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def open_scorchsoft(self, event=None):
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webbrowser.open('https://www.scorchsoft.com')
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def show_instructions(self):
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instruction_window = tk.Toplevel(self)
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instruction_window.title("How to Use")
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instruction_window.geometry("600x680") # Width x Height
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instructions = """How to Use Scorchsoft Text to Mic:
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1. Install VB-Cable if you haven't already
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https://vb-audio.com/Cable/
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This tool creates a virtual microphone on your Windows computer or Mac. Once installed you can then trigger audio to be played on this virual cable.
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2. Open the Text to Mic app by Scorchsoft, and input your OpenAPI key. How to set up an API key:
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https://platform.openai.com/docs/quickstart/account-setup
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(note that this may require you to add your billing details to OpenAI's playground before a key can be generated)
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In short, you sign up, go to playground, add billing details, go to API keys, add one, copy it, paste into Text to Mic.
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WARNING: This will use your OpenAI key to generate audio via the OpenAI API, which will incur charges per use. So please make sure to carefully monitor use.
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OpenAI pricing: openai.com/pricing
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3. Choose a voice that you prefer for the speech synthesis.
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4. Select a playback device. I recommend you select one device to be your headphones, and the other the virtuall microphone installed above (Which is usually labelled "Cable Input (VB-Audio))"
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3. Enter the text in the provided text area that you want to convert to speech.
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4. Click 'Submit' to hear the spoken version of your text.
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5. The 'Play Last Audio' button can be used to replay the last generated speech output.
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6. You can change the API key at any time under the 'Settings' menu.
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This tool was brought to you by Scorchsoft - We build custom apps to your requirements. Please contact us if you have a requirement for a custom app project.
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If you like this tool then please help us out and give us a backlink to help others find it at:
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https://www.scorchsoft.com/blog/text-to-mic-for-meetings/
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Please also make sure you read the Terms of use and licence statement before using this app."""
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tk.Label(instruction_window, text=instructions, justify=tk.LEFT, wraplength=580).pack(padx=10, pady=10)
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# Add a button to close the window
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ttk.Button(instruction_window, text="Close", command=instruction_window.destroy).pack(pady=(10, 0))
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def show_terms_of_use(self):
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instruction_window = tk.Toplevel(self)
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instruction_window.title("Terms of Use")
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instruction_window.geometry("500x700") # Width x Height
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instructions = """Disclaimer of Warranties
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Text to Mic is provided "as is" and on an "as available" basis, without any warranties of any kind, either express or implied. Scorchsoft Ltd expressly disclaims all warranties, whether express, implied, statutory, or otherwise, including but not limited to the implied warranties of merchantability, fitness for a particular purpose, and non-infringement. We do not warrant that the software will function uninterrupted, that it is error-free, or that any errors or defects will be corrected.
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Limitation of Liability
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In no event will Scorchsoft Ltd be liable for any indirect, incidental, special, consequential, or punitive damages resulting from or related to your use or inability to use Text to Mic, including but not limited to damages for loss of profits, goodwill, use, data, or other intangible losses, even if Scorchsoft Ltd has been advised of the possibility of such damages.
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Use at Your Own Risk
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By using Text to Mic, you acknowledge and agree that you assume full responsibility for your use of the software, and that any information you send or receive during your use of the software may not be secure and may be intercepted or later acquired by unauthorized parties. Use of Text to Mic is at your sole risk.
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License Agreement
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Users are granted a non-exclusive, revocable license to use Text to Mic solely for personal or commercial purposes. While the software remains the intellectual property of Scorchsoft Ltd., users are permitted to share the software with others under the condition that they attribute it to Scorchsoft Ltd. explicitly. This license does not grant users any ownership rights in the software and prohibits the creation of derivative works or the sale of the software. Users must ensure that Scorchsoft Ltd. is credited appropriately when sharing or demonstrating the software in any public or private setting.
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Text to Mic was made by Scorchsoft.com. If you like this tool then please help us out and give us a backlink to help others find it at:
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https://www.scorchsoft.com/blog/text-to-mic-for-meetings/
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"""
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tk.Label(instruction_window, text=instructions, justify=tk.LEFT, wraplength=480).pack(padx=10, pady=10)
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# Add a button to close the window
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ttk.Button(instruction_window, text="Close", command=instruction_window.destroy).pack(pady=(10, 0))
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def get_app_support_path_mac():
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home = Path.home()
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app_support_path = home / 'Library' / 'Application Support' / 'scorchsoft-text-to-mic'
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app_support_path.mkdir(parents=True, exist_ok=True) # Ensure directory exists
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return app_support_path
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def save_api_key_mac(api_key):
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env_path = get_app_support_path() / '.env'
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with open(env_path, 'w') as f:
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f.write(f"OPENAI_API_KEY={api_key}\n")
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# Consider manually loading this .env file into your environment as needed
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def load_api_key_mac():
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env_path = get_app_support_path() / '.env'
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if env_path.exists():
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with open(env_path, 'r') as f:
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for line in f:
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if line.startswith('OPENAI_API_KEY'):
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return line.strip().split('=')[1]
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return None
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def get_api_key(self):
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# First, try to load the API key from environment variables or local file
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api_key = os.getenv("OPENAI_API_KEY")
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if not api_key: # Check for macOS and use the macOS-specific method
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if platform.system() == 'Darwin': # Darwin is the system name for macOS
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api_key = self.load_api_key_mac()
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# If no API key is found, prompt the user
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if not api_key:
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self.show_instructions() # Show the "How to Use" modal after setting the key
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api_key = simpledialog.askstring("API Key", "Enter your OpenAI API Key:", parent=self)
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if api_key:
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try:
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if platform.system() == 'Darwin':
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self.save_api_key_mac(api_key)
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else:
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self.save_api_key(api_key)
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messagebox.showinfo("API Key Set", "The OpenAI API Key has been updated successfully.")
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except Exception as e:
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messagebox.showerror("Error", f"Failed to save API key: {str(e)}")
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return api_key
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def save_api_key(self, api_key):
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try:
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if platform.system() == 'Darwin':
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self.save_api_key_mac(api_key)
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else:
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with open('.env', 'w') as f:
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f.write(f"OPENAI_API_KEY={api_key}\n")
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load_dotenv() # Reload environment to include the new API key
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except Exception as e:
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messagebox.showerror("Error", f"Failed to save API key: {str(e)}")
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def get_audio_devices(self):
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p = pyaudio.PyAudio()
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devices = {}
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for i in range(p.get_device_count()):
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info = p.get_device_info_by_index(i)
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if info['maxOutputChannels'] > 0: # Filter for output-capable devices
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devices[info['name']] = i
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p.terminate()
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return devices
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def get_audio_file_path(self, filename):
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if platform.system() == 'Darwin': # Check if the OS is macOS
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mac_path = self.get_app_support_path_mac();
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#return self.get_app_support_path_mac() / filename
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return f"{mac_path}/{filename}"
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else:
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return Path(filename) # Default to current directory for non-macOS systems
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def submit_text(self):
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text = self.text_input.get("1.0", tk.END).strip()
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selected_voice = self.voice_var.get()
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if not text:
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messagebox.showinfo("Error", "Please enter some text to synthesize.")
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return
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# Convert device names to indices
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primary_index = self.available_devices.get(self.device_index.get(), None)
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secondary_index = self.available_devices.get(self.device_index_2.get(), None) if self.device_index_2.get() != "None" else None
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if primary_index is None:
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messagebox.showerror("Error", "Primary device not selected or unavailable.")
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return
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print(f"Primary Index: {primary_index}, Secondary Index: {secondary_index}")
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try:
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response = self.client.audio.speech.create(
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model="tts-1",
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voice=selected_voice,
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input=text,
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response_format='wav'
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)
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self.last_audio_file = self.get_audio_file_path("last_output.wav")
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response.stream_to_file(str(self.last_audio_file))
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#Play to either two or a single stream
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if primary_index and secondary_index != "None" and secondary_index is not None:
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self.play_audio_multiplexed([self.last_audio_file, self.last_audio_file],
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[primary_index, secondary_index])
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else:
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self.play_audio_multiplexed([self.last_audio_file],
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[primary_index])
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except Exception as e:
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messagebox.showerror("API Error", f"Failed to generate audio: {str(e)}")
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def play_audio_multiplexed(self, file_paths, device_indices):
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p = pyaudio.PyAudio()
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streams = []
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try:
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# Open all files and start all streams
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for file_path, device_index in zip(file_paths, device_indices):
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try:
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# Ensure the file_path is a string when opening the file
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wf = wave.open(str(file_path), 'rb')
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except FileNotFoundError:
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messagebox.showerror("File Not Found", f"Could not find audio file: {file_path}")
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continue # Skip this iteration and proceed with other files if any
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except wave.Error as e:
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messagebox.showerror("Wave Error", f"Error reading audio file: {file_path}. Error: {str(e)}")
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continue
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try:
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stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
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channels=wf.getnchannels(),
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rate=wf.getframerate(),
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output=True,
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output_device_index=int(device_index))
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except Exception as e:
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messagebox.showerror("Stream Creation Error", f"Failed to create audio stream for device index {device_index}: {str(e)}")
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wf.close()
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continue
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streams.append((stream, wf))
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# Play interleaved
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active_streams = len(streams)
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while active_streams > 0:
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for stream, wf in streams:
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data = wf.readframes(1024)
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if data:
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stream.write(data)
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else:
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stream.stop_stream()
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stream.close()
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wf.close()
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streams.remove((stream, wf))
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active_streams -= 1
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except Exception as e:
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messagebox.showerror("Playback Error", f"Error during multiplexed playback: {e}")
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finally:
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p.terminate()
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def play_last_audio(self):
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if hasattr(self, 'last_audio_file'):
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primary_index = self.available_devices.get(self.device_index.get(), None)
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secondary_index = self.available_devices.get(self.device_index_2.get(), None) if self.device_index_2.get() != "None" else None
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# Check if a secondary device is selected
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if primary_index and secondary_index != "None" and secondary_index is not None:
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self.play_audio_multiplexed([self.last_audio_file, self.last_audio_file],
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[primary_index, secondary_index])
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else:
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self.play_audio_multiplexed([self.last_audio_file],
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[primary_index])
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else:
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messagebox.showinfo("No Audio", "No audio has been generated yet.")
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def play_saved_audio(self, file_path, device_name):
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device_index = self.available_devices.get(device_name, None)
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if device_index is None:
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messagebox.showerror("Error", "Selected audio device is not available.")
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return
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wf = wave.open(file_path, 'rb')
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p = pyaudio.PyAudio()
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try:
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stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
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channels=wf.getnchannels(),
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rate=wf.getframerate(),
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output=True,
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output_device_index=device_index)
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data = wf.readframes(1024)
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while data:
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stream.write(data)
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data = wf.readframes(1024)
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finally:
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stream.stop_stream()
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stream.close()
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wf.close()
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p.terminate()
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def change_api_key(self):
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new_key = simpledialog.askstring("API Key", "Enter new OpenAI API Key:", parent=self)
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if new_key:
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self.save_api_key(new_key)
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self.api_key = new_key
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self.client = OpenAI(api_key=self.api_key)
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messagebox.showinfo("API Key Updated", "The OpenAI API Key has been updated successfully.")
|
|
|
|
|
|
def toggle_recording(self):
|
|
if not self.recording:
|
|
# Start recording
|
|
self.recording = True
|
|
self.record_button.config(text="Stop")
|
|
self.record_audio_start()
|
|
else:
|
|
# Stop recording
|
|
self.recording = False
|
|
self.record_button.config(text="Rec")
|
|
self.record_audio_stop()
|
|
|
|
def record_audio_start(self):
|
|
import threading
|
|
self.frames = []
|
|
self.p = pyaudio.PyAudio()
|
|
self.stream = self.p.open(format=pyaudio.paInt16, channels=1, rate=44100, input=True, frames_per_buffer=1024)
|
|
#messagebox.showinfo("Record", "Recording started. Press 'Stop' when finished.")
|
|
|
|
def record():
|
|
while self.recording:
|
|
data = self.stream.read(1024)
|
|
self.frames.append(data)
|
|
|
|
self.record_thread = threading.Thread(target=record)
|
|
self.record_thread.start()
|
|
|
|
def record_audio_stop(self):
|
|
self.recording = False
|
|
self.stream.stop_stream()
|
|
self.stream.close()
|
|
self.p.terminate()
|
|
self.record_thread.join() # Ensure the recording thread has finished
|
|
|
|
# Save the recording to a file
|
|
file_path = self.get_audio_file_path("input_speech_recording.wav")
|
|
wf = wave.open(str(file_path), 'wb')
|
|
wf.setnchannels(1)
|
|
wf.setsampwidth(self.p.get_sample_size(pyaudio.paInt16))
|
|
wf.setframerate(44100)
|
|
wf.writeframes(b''.join(self.frames))
|
|
wf.close()
|
|
|
|
# Optionally transcribe the recording
|
|
self.transcribe_audio(file_path)
|
|
|
|
def transcribe_audio(self, file_path):
|
|
try:
|
|
with open(str(file_path), "rb") as audio_file:
|
|
transcription = self.client.audio.transcriptions.create(
|
|
file=audio_file,
|
|
model="whisper-1",
|
|
response_format="verbose_json"
|
|
)
|
|
self.text_input.delete("1.0", tk.END) # Clear existing text
|
|
self.text_input.insert("1.0", transcription.text) # Insert new text
|
|
|
|
print("Transcription Complete: The audio has been transcribed and the text has been placed in the input area.")
|
|
#messagebox.showinfo("Transcription Complete", "The audio has been transcribed and the text has been placed in the input area.")
|
|
|
|
except Exception as e:
|
|
messagebox.showerror("Transcription Error", f"An error occurred during transcription: {str(e)}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
app = Application()
|
|
app.mainloop() |