app.py

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")

def get_recommedation(prompt):
    generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
    set_seed(42)
    output = generator(prompt, max_length=200, num_return_sequences=5, do_sample=True)
    return output

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

iface.launch()