| import gradio as gr | |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer | |
| def translate(text): | |
| model_name = 'hackathon-pln-es/t5-small-finetuned-spanish-to-quechua' | |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name) | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| input = tokenizer(text, return_tensors="pt") | |
| output = model.generate(input["input_ids"], max_length=40, num_beams=4, early_stopping=True) | |
| return tokenizer.decode(output[0]) | |
| iface = gr.Interface(fn=translate, inputs="text", outputs="text") | |
| iface.launch() |