app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelWithLMHead

# تحميل النموذج
model_name = "aubmindlab/aragpt2-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelWithLMHead.from_pretrained(model_name)

def generate_text(prompt):
    input_ids = tokenizer.encode(prompt, return_tensors="pt")
    output = model.generate(
        input_ids,
        max_length=50,
        do_sample=True,
        temperature=0.7,
        top_k=50,
        top_p=0.95,
        num_return_sequences=1
    )
    return tokenizer.decode(output[0], skip_special_tokens=True)

# واجهة Gradio
gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=2, placeholder="أدخل بداية النص هنا...", label="نص الإدخال"),
    outputs=gr.Textbox(label="النص المُولد"),
    title="توليد نص عربي باستخدام AraGPT2"
).launch()