Create app.py

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# 4 نماذج لتوليد الكود
+models = {
+    "CodeGen (Salesforce)": "Salesforce/codegen-2B-multi",
+    "StarCoder": "bigcode/starcoder",
+    "WizardCoder": "WizardLM/WizardCoder-1B-V1.0",
+    "Phind LLaMA": "Phind/phind-codeLlama-34b-v2"
+}
+
+# تحميل النماذج
+loaded_models = {}
+for name, model_id in models.items():
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_dtype=torch.float16)
+    loaded_models[name] = (tokenizer, model)
+
+# دالة توليد الكود
+def generate_code(prompt, model_name):
+    tokenizer, model = loaded_models[model_name]
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=150)
+    code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return code
+
+# واجهة Gradio
+demo = gr.Interface(
+    fn=generate_code,
+    inputs=[
+        gr.Textbox(lines=5, label="اكتب وصف الكود (بالإنجليزية)"),
+        gr.Radio(choices=list(models.keys()), label="اختر النموذج")
+    ],
+    outputs=gr.Code(label="الكود الناتج"),
+    title="Code Generation with AI Models",
+    description="اختر نموذج AI وادخل وصف الكود ليتم توليده تلقائيًا"
+)
+
+demo.launch()