from transformers import pipeline

model_path = '/content/model_output'
text_gen = pipeline("text-generation", model=model_path, tokenizer=model_path)

def answer_question(question):
    result = text_gen(question, max_length=100, num_return_sequences=1)
    return result[0]['generated_text']

iface = gr.Interface(fn=answer_question, inputs="text", outputs="text")
iface.launch()