| 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() |