app.py

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
import gradio as gr

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

# إعداد الـ pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

# واجهة Gradio
def generate_arabic_text(prompt):
    outputs = generator(prompt, max_length=20, num_return_sequences=1, do_sample=True)
    return outputs[0]["generated_text"]

iface = gr.Interface(fn=generate_arabic_text,
                     inputs=gr.Textbox(lines=2, placeholder="اكتب جملة بالعربية..."),
                     outputs="text",
                     title="AraGPT2-Medium Chat",
                     description="نموذج توليدي باللغة العربية")

iface.launch()