Fix Tkinter NameError – Dr. Trippers Stuff

Help with this error: Exception in Tkinter callback
Traceback (most recent call last):
File “c:ProgramDataminiconda3envsjarvislibtkinter__init__.py”, line 1921, in __call__
return self.func(*args)
File “D:SarahOneSYSTEM PROMPTSPAcoalher.py”, line 24, in submit
completion = client.chat.completions.create(
NameError: name ‘client’ is not defined
The error you’re encountering, “NameError: name ‘client’ is not defined,” suggests that the variable ‘client’ is not defined in the scope of the `submit` function in your code.

Here are some steps to address this issue:

1. **Check Variable Scope:**
Ensure that the `client` variable is defined and accessible in the `submit` function. It seems like the `client` variable is not in the scope of the `submit` function.

“`python
# Example: Make sure ‘client’ is defined in the same or outer scope
client = initialize_client() # Replace with your client initialization

def submit():
completion = client.chat.completions.create(
# rest of the code
“`

2. **Initialization:**
Confirm that you’ve initialized the `client` variable before calling the `submit` function. If the client is part of an external module or class, make sure it’s imported correctly.

“`python
from your_module import initialize_client # Import the initialization function

client = initialize_client() # Initialize the client

# rest of the code
“`

3. **Typo or Import Issue:**
Check for typos in the variable name or any import issues. Ensure that the `client` variable is spelled correctly and imported from the appropriate module.

“`python
from your_module import client # Check the import statement

def submit():
completion = client.chat.completions.create(
# rest of the code
“`

By addressing these points, you should be able to resolve the “NameError: name ‘client’ is not defined” issue in your Tkinter application.
import os
from tkinter import *
from gtts import gTTS # Google Text to Speech
from playsound import playsound

# Point to the local server
os.environ[“OPENAI_API_BASE”] = “http://localhost:5151/v1”

def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3′
tts.save(filename)
playsound(filename)
os.remove(filename)

root = Tk()
root.geometry(“600×800″)

text_speech = Text(root, height=2, width = 16)
text_speech.pack()

def submit():
text_input = text_entry.get()
completion = client.chat.completions.create(
model=”local-model”, # this field is currently unused
messages=[{“role”: “user”, “content”: text_input}],
temperature=0.7,
)

assistant_text = completion[“choices”][0][“message”][“content”].strip()
text_speech.insert(END, f’nYou: {text_input}nAssistant: {assistant_text}’)
speak(assistant_text) # This will play the assistant’s response as a voice

def clear():
text_entry.delete(0, END) # Clear the input field

button = Button(root, text=”Submit”, command=submit)
button.pack()

clearButton = Button(root, text=”Clear”, command=clear)
clearButton.pack()

text_entry = Entry(root)
text_entry.pack()

root.mainloop() # Start the Tkinter event loop to process GUI events
It seems like you’re trying to create a simple Tkinter application that interacts with the OpenAI GPT model running on a local server. However, there are a few issues in your code:

1. **Undefined Client:**
You’re using the `client` variable in the `submit` function without defining it. You need to initialize the OpenAI client at the beginning of your script.

2. **Undefined Text Entry:**
The `text_entry` widget is used in the `submit` function, but it’s not defined before the `submit` function. You should rearrange the order of your widget definitions.

Here’s an updated version of your code:

“`python
import os
from tkinter import *
from gtts import gTTS # Google Text to Speech
from playsound import playsound
import openai # Import the OpenAI library

# Point to the local server
os.environ[“OPENAI_API_BASE”] = “http://localhost:5151/v1”

# Initialize OpenAI client
openai.api_key = “your_api_key” # Replace with your OpenAI API key

def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3′
tts.save(filename)
playsound(filename)
os.remove(filename)

root = Tk()
root.geometry(“600×800″)

text_speech = Text(root, height=2, width=16)
text_speech.pack()

text_entry = Entry(root)
text_entry.pack()

def submit():
text_input = text_entry.get()
completion = openai.ChatCompletion.create(
model=”local-model”, # Replace with your model name
messages=[{“role”: “user”, “content”: text_input}],
temperature=0.7,
)

def clear():
text_entry.delete(0, END) # Clear the input field

button = Button(root, text=”Submit”, command=submit)
button.pack()

clear_button = Button(root, text=”Clear”, command=clear)
clear_button.pack()

root.mainloop() # Start the Tkinter event loop to process GUI events
“`

Make sure to replace `”your_api_key”` with your actual OpenAI API key, and `”local-model”` with the name of your GPT model.
this now responds but it is no audio spoken response: def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3′
tts.save(filename)
playsound(filename)
os.remove(filename)

root = Tk()
root.geometry(“600×800″)

text_speech = Text(root, height=2, width = 16)
text_speech.pack()

def clear():
text_entry.delete(0, END) # Clear the input field

button = Button(root, text=”Submit”, command=submit)
button.pack()

clearButton = Button(root, text=”Clear”, command=clear)
clearButton.pack()

text_entry = Entry(root)
text_entry.pack()

root.mainloop() # Start the Tkinter event loop to process GUI events
It seems that the issue might be related to the order of function calls in the `submit` function. Specifically, you are passing the assistant’s text directly to the `speak` function. However, the `speak` function expects a string, and it’s possible that the `assistant_text` variable contains a dictionary or an unexpected format.

Here’s an updated version of the `submit` function to handle the audio playback:

“`python
def submit():
text_input = text_entry.get()
completion = client.chat.completions.create(
model=”local-model”, # Replace with your model name
messages=[{“role”: “user”, “content”: text_input}],
temperature=0.7,
)

assistant_text = completion[“choices”][0][“message”][“content”].strip()
text_speech.insert(END, f’nYou: {text_input}nAssistant: {assistant_text}’)

# Check if the assistant’s response is a string
if isinstance(assistant_text, str):
speak(assistant_text) # This will play the assistant’s response as a voice
else:
print(“Unexpected response format from OpenAI.”)

# Rest of your code remains unchanged
“`

This modification includes a check using `isinstance` to ensure that `assistant_text` is a string before passing it to the `speak` function. If it’s not a string, it prints a message to the console. Make sure to replace `”local-model”` with the name of your GPT model.
No sound
I apologize for the oversight. It appears that the issue might be related to the `playsound` library not working as expected in some environments. To address this, you can try using the `pygame` library for audio playback, which is a more reliable option for handling sound in Tkinter applications.

First, you need to install the `pygame` library if you haven’t already:

“`bash
pip install pygame
“`

Then, modify your `speak` function to use `pygame`:

“`python
import os
import pygame
from gtts import gTTS # Google Text to Speech

# Rest of your code

# Initialize Pygame mixer
pygame.mixer.init()

def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3′
tts.save(filename)

pygame.mixer.music.load(filename)
pygame.mixer.music.play()

while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(10)

os.remove(filename)

# Rest of your code
“`

Make sure to replace the existing `speak` function with this updated version. This modification uses `pygame.mixer.music` for audio playback, which should work more reliably in a Tkinter environment.
def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3′
tts.save(filename)
playsound(filename)
os.remove(filename)

root = Tk()
root.geometry(“600×800”)

text_speech = Text(root, height=2, width = 16)
text_speech.pack()

It seems like you are trying to create a Tkinter application with a `speak` function that uses Google Text to Speech (`gTTS`) and `playsound` to play audio. If you are experiencing issues with sound playback, you might want to consider using an alternative library for audio playback. In the previous responses, I suggested using the `pygame` library.

Here is your code with the modification to use `pygame` for audio playback:

“`python
import os
from tkinter import *
from gtts import gTTS # Google Text to Speech
import pygame

# Initialize Pygame mixer
pygame.mixer.init()

def speak(text):
tts = gTTS(text=text, lang=’en’)
filename = ‘voice.mp3’
tts.save(filename)

pygame.mixer.music.load(filename)
pygame.mixer.music.play()

while pygame.mixer.music.get_busy():
pygame.time.Clock().tick(10)

os.remove(filename)

root = Tk()
root.geometry(“600×800”)

text_speech = Text(root, height=2, width=16)
text_speech.pack()

# Rest of your code…
“`

Make sure you have installed the `pygame` library using:

“`bash
pip install pygame
“`

This should resolve any issues related to sound playback in your Tkinter application. If you still encounter problems, please let me know, and I’ll be happy to assist further.
File “D:SarahOneSYSTEM PROMPTSPAcoalher.py”, line 39, in submit
assistant_text = completion[“choices”][0][“message”][“content”].strip()
TypeError: ‘ChatCompletion’ object is not subscriptable

It looks like the response from OpenAI is not a dictionary that can be directly subscripted with `[“choices”][0][“message”][“content”]`. The `ChatCompletion` object may have a different structure.

Here’s an updated version of your `submit` function:

assistant_text = completion[‘choices’][0][‘message’][‘content’]
text_speech.insert(END, f’nYou: {text_input}nAssistant: {assistant_text}’)

# Rest of your code…
“`

Please note that OpenAI’s API responses might have changed, and the structure might be different based on the version or updates to the API. If you’re using a specific version of the OpenAI API, please refer to the official documentation or check the structure of the API response to ensure correct indexing.