Taf-gpt / chatbot_ui.py
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Update chatbot_ui.py
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import tkinter as tk
from tkinter import scrolledtext
# Replace this with your actual Hugging Face chatbot code
def generate_response(user_input):
# Implement your Hugging Face chatbot logic here
# For example, you might use transformers library to load your model
# and generate responses based on user_input
return "Chatbot: This is where your Hugging Face chatbot response goes."
class ChatbotUI:
def __init__(self, root):
self.root = root
self.root.title("Chatbot Interface")
# Create scrolled text widget for chat history
self.chat_history = scrolledtext.ScrolledText(root, wrap=tk.WORD, width=50, height=20)
self.chat_history.grid(row=0, column=0, padx=10, pady=10, columnspan=2)
# Create entry widget for user input
self.user_input = tk.Entry(root, width=40)
self.user_input.grid(row=1, column=0, padx=10, pady=10)
# Create button to submit user input
self.submit_button = tk.Button(root, text="Submit", command=self.process_input)
self.submit_button.grid(row=1, column=1, padx=10, pady=10)
# Initialize chat history
self.chat_history.insert(tk.END, "Chatbot: Hello! How can I help you today?\n")
def process_input(self):
user_message = self.user_input.get()
self.chat_history.insert(tk.END, f"You: {user_message}\n")
# Call your Hugging Face chatbot function here
chatbot_response = generate_response(user_message)
self.chat_history.insert(tk.END, chatbot_response + "\n")
# Clear user input
self.user_input.delete(0, tk.END)
def run_chat_ui():
try:
root = tk.Tk()
chatbot_ui = ChatbotUI(root)
root.mainloop()
except tk.TclError:
print("No graphical display found. Running in non-GUI mode.")
if __name__ == "__main__":
run_chat_ui()