import gradio as gr title = "CTRL" description = "Gradio Demo for CTRL. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." article = "
CTRL: A Conditional Transformer Language Model for Controllable Generation
" examples = [ ['My name is Thomas and my main',"tiny-ctrl"] ] io1 = gr.Interface.load("huggingface/sshleifer/tiny-ctrl") io2 = gr.Interface.load("huggingface/prajjwal1/ctrl_discovery_flipped_2") def inference(inputtext, model): if model == "tiny-ctrl": outlabel = io1(inputtext) else: outlabel = io2(inputtext) return outlabel gr.Interface( inference, [gr.inputs.Textbox(label="Context",lines=10),gr.inputs.Dropdown(choices=["tiny-ctrl","ctrl_discovery_flipped_2"], type="value", default="tiny-ctrl", label="model")], [gr.outputs.Textbox(label="Output")], examples=examples, article=article, title=title, description=description).launch(enable_queue=True)