Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# تحميل النموذج والـ Tokenizer
+model_path = "inceptionai/jais-13b"
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(model_path, device_map="auto", trust_remote_code=True)
+
+# دالة للحصول على الإجابة
+def get_response(text):
+    input_ids = tokenizer(text, return_tensors="pt").input_ids
+    inputs = input_ids.to("cuda" if torch.cuda.is_available() else "cpu")
+    input_len = inputs.shape[-1]
+    generate_ids = model.generate(
+        inputs,
+        top_p=0.9,
+        temperature=0.3,
+        max_length=200 - input_len,
+        min_length=input_len + 4,
+        repetition_penalty=1.2,
+        do_sample=True,
+    )
+    response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=True)[0]
+    return response
+
+# واجهة Gradio
+iface = gr.Interface(
+    fn=get_response,
+    inputs="text",
+    outputs="text",
+    title="Jais-13b Demo",
+    description="تجربة نموذج Jais-13b للغة العربية."
+)
+
+iface.launch()