app.py

import gradio as gr
from evodiff.pretrained import OA_DM_38M
from evodiff.generate import generate_oaardm

checkpoint = OA_DM_38M()
model, collater, tokenizer, scheme = checkpoint


def make_seq(seq_len):
    tokeinzed_sample, generated_sequence = generate_oaardm(model, tokenizer, seq_len, batch_size=1, device='cpu')
    return generated_sequence

iface = gr.Interface(
    fn=make_seq,
    inputs=gr.Slider(10, 100),
    outputs="text"
    )

iface.launch()