import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

def greet(name):

    tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen")
    model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/MolGen")
    
    sf_input = tokenizer(name, return_tensors="pt")
    # beam search
    #molecules = model.generate(input_ids=sf_input["input_ids"],
    #sf_output = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True).replace(" ","") for g in molecules]
    return name

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