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)