| import gradio as gr | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| pipe = pipeline("text2text-generation", model="yeye776/t5-OndeviceAI-HomeIoT") | |
| # gr.load("models/yeye776/t5-OndeviceAI-HomeIoT").launch() | |
| iface = gradio.Interface(fn=pipe, inputs="text", outputs="text") | |
| iface.launch() |