| import gradio as gr | |
| from transformers import pipeline | |
| model_checkpoint = "erwanlc/t5-cocktails_recipe-base" | |
| tt_generator = pipeline("text2text-generation", model=model_checkpoint) | |
| def generate_text(inp): | |
| result = tt_generator(inp, min_length=20, max_length=1024, do_sample=True, temperature=1.0, top_p=1.0) | |
| return result | |
| output_text = gr.outputs.Textbox() | |
| gr.Interface(fn=generate_text, inputs="textbox", outputs=output_text).launch(share=True) |