import gradio as gr

class TafGPT:
    def generate_response(self, user_input):
        # Replace this with your own logic or use external APIs for more advanced responses
        response = f"Taf-gpt: Thank you for your input: '{user_input}'. I'm a simple chatbot for now."

        return response

# Create an instance of TafGPT
taf_gpt = TafGPT()

# Define Gradio interface
iface = gr.Interface(
    fn=taf_gpt.generate_response,
    inputs="text",
    outputs="text",
    live=True,
    title="Taf-gpt Chatbot",
    description="Welcome to Taf-gpt! Enter your message below.",
)

# Launch the Gradio interface
iface.launch()