import gradio
from transformers import pipeline

def model_pipeline(input):
    model = pipeline(model='{git_name}')
    try:
      result = model(input)
    except Exception as e:
      result = f"Model couldn't process input, refer to model card at https://huggingface.co/{git_name}.)"

    return result

gradio_interface = gradio.Interface(
    fn=model_pipeline,
    inputs="text",
    outputs="json",
    title=f"Your personal space for {git_name_clean}",
    description=f"Model card:+ https://huggingface.co/{git_name}",
  )
gradio_interface.launch()