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model_loader.py
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model_loader.py
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import tkinter as tk
from neuralgpt import NeuralGPT
from model_loader import ModelLoader
class ChatBox:
def __init__(self):
self.model = None
self.loader = ModelLoader()
self.root = tk.Tk()
self.root.title('Chatbox')
self.input_label = tk.Label(self.root, text='Input:')
self.input_label.pack()
self.input_field = tk.Entry(self.root)
self.input_field.pack()
self.output_label = tk.Label(self.root, text='Output:')
self.output_label.pack()
self.output_field = tk.Text(self.root, height=10, width=50)
self.output_field.pack()
self.submit_button = tk.Button(self.root, text='Submit', command=self.submit)
self.submit_button.pack()
def submit(self):
if not self.model:
# Load the model if it hasn't been loaded yet
self.model = self.loader.load_local('my_model.bin')
# Get the user input
user_input = self.input_field.get()
# Generate a response using the model
response = self.model.generate(user_input)
# Display the response in the output field
self.output_field.insert(tk.END, response + '\n')
def run(self):
self.root.mainloop()
if __name__ == '__main__':
chatbox = ChatBox()
chatbox.run()