Create app.py

app.py

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+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=100, 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()