| from transformers import pipeline | |
| import textwrap | |
| import time | |
| import gradio as gr | |
| # Load a pre-trained chatbot model | |
| chatbot = pipeline('text-generation', model='gpt2-large') | |
| def wrap(x): | |
| return textwrap.fill(x, replace_whitespace=False, fix_sentence_endings=True) | |
| def chat(prompt): | |
| return chatbot(prompt)[0]['generated_text'] | |
| gr.Interface(fn=chat, inputs="text", outputs="text").launch() | |