app.py

from transformers import pipeline, set_seed
from transformers import BioGptTokenizer, BioGptForCausalLM
import gradio as gr
model = BioGptForCausalLM.from_pretrained("microsoft/biogpt")
tokenizer = BioGptTokenizer.from_pretrained("microsoft/biogpt")
generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
set_seed(42)

def predict(text):
    return generator(text, max_length=100, num_return_sequences=5, do_sample=True)

txt1 = gr.Textbox(
            label="Input",
            lines=5,
        )

txt2 = gr.Textbox(
            label="Output",
            lines=20,
        )

    
interface = gr.Interface(fn=predict, inputs=txt1, outputs=txt2 title="Biogpt", description="Biogpt")
interface.launch()