| import gradio as gr | |
| from transformers import pipeline | |
| generator = pipeline('text-generation', model = 'gpt2') | |
| def generate_text(text_prompt): | |
| response = generator(text_prompt, max_length = 30, num_return_sequences=5) | |
| return response[0]['generated_text'] # type: ignore | |
| textbox = gr.Textbox() | |
| demo = gr.Interface(generate_text, textbox, textbox) | |
| if __name__ == "__main__": | |
| demo.launch() | |