app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_translation")
model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_translation")

def translate(text):
    input_ids = tokenizer(text, return_tensors="pt", truncation=True)['input_ids']
    output_ids = model.generate(input_ids)
    output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
    return output_text

iface_translate = gr.Interface(
    fn=translate,
    inputs=gr.inputs.Textbox(lines=10, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Translation"),
    title="ScienceBrief Translation",
    description="Translate any Spanish text to English using our ScienceBrief model",
    theme="compact"
)

iface_translate.launch()