import gradio as gr
from transformers import pipeline, set_seed
from transformers import BioGptTokenizer, BioGptForCausalLM


model = BioGptForCausalLM.from_pretrained("microsoft/biogpt")
tokenizer = BioGptTokenizer.from_pretrained("microsoft/biogpt")
generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
set_seed(42)

def biogpt_promot(inpt):
    return generator(inpt, max_length=20, num_return_sequences=5, do_sample=True)


#def hello(name):
#    return "hello " + name + "!"

app = gr.Interface(fn=biogpt_promot, inputs="text", outputs="text")

app.launch()