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import gradio as gr
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("salti/arabic-t5-small-question-paraphrasing", use_fast=True)
model = AutoModelForSeq2SeqLM.from_pretrained("salti/arabic-t5-small-question-paraphrasing").eval();
prompt = "أعد صياغة: "
@torch.inference_mode()
def paraphrase(question):
question = prompt + question
input_ids = tokenizer(question, return_tensors="pt").input_ids
generated_tokens = model.generate(input_ids).squeeze().cpu().numpy()
return tokenizer.decode(generated_tokens, skip_special_tokens=True)
iface = gr.Interface(fn=paraphrase, inputs="text", outputs="text")
iface.launch()
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