app.py

import gradio as gr

import subprocess

from transformers import AutoModel

model = AutoModel.from_pretrained("proxectonos/Nos_MT-OpenNMT-en-gl")

# Push the model to your namespace with the name "my-finetuned-bert".
model.push_to_hub("Nos_MT-OpenNMT-en-gl")

# NOS-MT-en-gl.p

def translate(input_text):
    command = f"onmt_translate -src {input_text} -model NOS-MT-en-gl.p --output ./output_file.txt --replace_unk -gpu 0"
    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    stdout, stderr = process.communicate()
    if process.returncode != 0:
        raise Exception(f"Error occurred: {stderr.decode().strip()}")
    return stdout.decode().strip()

demo = gr.Interface(fn=translate, inputs="textbox", outputs="textbox")
    
if __name__ == "__main__":
    demo.launch()