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app.py
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| 1 |
+
# ============================================================
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| 2 |
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# CodeAgent - Sub-agent for code generation and execution
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| 3 |
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# Author: Mustafa Albakkar
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# Compatible with Hugging Face Spaces (Gradio-based)
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# ============================================================
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import os, json, atexit, logging, traceback, io, sys, contextlib, tempfile
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import gradio as gr
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from llama_cpp import Llama
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# ------------------------------------------------------------
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# 🔧 إعداد التسجيل (Logs)
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# ------------------------------------------------------------
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("CodeAgent")
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# ------------------------------------------------------------
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# 🧠 تحميل النموذج (Qwen2.5-Coder-14B-Instruct-GGUF)
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# ------------------------------------------------------------
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llm = None
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try:
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logger.info("🔄 Attempting to load model...")
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llm = Llama.from_pretrained(
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repo_id="Qwen/Qwen2.5-Coder-14B-Instruct-GGUF",
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filename="qwen2.5-coder-14b-instruct-q6_k.gguf",
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n_gpu_layers=-1,
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n_ctx=4096,
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n_threads=4,
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)
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logger.info("✅ Model loaded successfully.")
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except Exception as e:
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logger.exception("❌ Model load failed: %s", e)
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llm = None
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# ------------------------------------------------------------
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# 🧩 دوال مساعدة
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# ------------------------------------------------------------
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def safe_text(x):
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"""تحويل النصوص أو القيم المعقدة إلى نص نظيف وصالح للعرض."""
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if isinstance(x, str):
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return x.strip()
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try:
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return json.dumps(x, ensure_ascii=False)
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except Exception:
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return str(x)
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def compute_safe_max_tokens(prompt: str, max_ctx=4096):
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"""تقدير عدد التوكنات الآمنة حسب طول الإدخال."""
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try:
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l = max(1, len(prompt.split()))
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avail = max_ctx - l - 1
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return max(128, min(1024, avail))
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except Exception:
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return 256
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# ------------------------------------------------------------
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# 🧮 أداة تنفيذ الكود بأمان
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# ------------------------------------------------------------
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def execute_python_code(code_str: str) -> str:
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"""
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تقوم هذه الدالة بتنفيذ الكود البرمجي الناتج من النموذج داخل بيئة معزولة،
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وتعيد المخرجات النصية أو الأخطاء.
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"""
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code_str = code_str.strip()
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# تنظيف الكود من علامات أو أمثلة غير ضرورية
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code_str = code_str.replace("```python", "").replace("```", "").strip()
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buffer = io.StringIO()
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try:
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# إعادة توجيه stdout و stderr
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with contextlib.redirect_stdout(buffer), contextlib.redirect_stderr(buffer):
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local_env = {}
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exec(code_str, {}, local_env)
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result = buffer.getvalue().strip()
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if not result:
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result = "✅ Code executed successfully (no printed output)."
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return result
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except Exception as e:
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tb = traceback.format_exc()
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return f"❌ Code execution error:\n{tb}"
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finally:
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buffer.close()
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# ------------------------------------------------------------
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| 90 |
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# 🎯 الدالة الأساسية للتوليد والتنفيذ
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# ------------------------------------------------------------
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def generate_and_execute_fn(prompt: str) -> str:
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"""
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- توليد الكود البرمجي باستخدام نموذج Qwen2.5-Coder
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- تنفيذ الكود مباشرة
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- إعادة النتائج إلى الوكيل الأساسي
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"""
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try:
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prompt = safe_text(prompt)
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if not prompt:
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return "⚠️ No prompt provided."
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if llm is None:
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return "❌ Model not loaded."
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# --- تحضير إدخال النموذج بصيغة محادثة ---
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formatted_prompt = (
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f"<|im_start|>system\n"
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f"You are CodeAgent, a skilled Python coding assistant. "
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f"Generate correct, fully functional Python code that solves the given task.\n"
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f"Always wrap your code in triple backticks and do not include explanations.\n"
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f"<|im_end|>\n"
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f"<|im_start|>user\n{prompt}\n<|im_end|>\n"
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f"<|im_start|>assistant\n"
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)
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max_tokens = compute_safe_max_tokens(formatted_prompt)
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# --- تنفيذ التوليد ---
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try:
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out = llm(
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formatted_prompt,
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max_tokens=max_tokens,
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temperature=0.2,
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stop=["<|im_end|>"]
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)
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except TypeError:
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out = llm(
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formatted_prompt,
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max_new_tokens=max_tokens,
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temperature=0.2,
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stop=["<|im_end|>"]
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)
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| 135 |
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# --- استخراج النص الناتج ---
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| 136 |
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if isinstance(out, dict):
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text = out.get("choices", [{}])[0].get("text", "")
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| 138 |
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else:
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text = str(out)
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| 140 |
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| 141 |
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if not text.strip():
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return "⚠️ Empty response from model."
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| 143 |
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logger.info(f"🤖 Generated code:\n{text}")
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| 145 |
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# --- تنفيذ الكود وإعادة النتيجة ---
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exec_result = execute_python_code(text)
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| 148 |
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final_output = (
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f"🧠 **Prompt:** {prompt}\n\n"
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f"💻 **Generated Code:**\n{text}\n\n"
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f"🧾 **Execution Result:**\n{exec_result}"
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)
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return final_output
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except Exception as e:
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logger.exception("Generation/Execution error: %s", e)
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| 157 |
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return f"❌ Error: {e}"
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| 158 |
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| 159 |
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| 160 |
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# ------------------------------------------------------------
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| 161 |
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# 🧱 واجهة Gradio
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| 162 |
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# ------------------------------------------------------------
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| 163 |
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iface = gr.Interface(
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fn=generate_and_execute_fn,
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inputs=gr.Textbox(lines=4, placeholder="💬 اكتب سؤالك البرمجي هنا..."),
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| 166 |
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outputs=gr.Textbox(lines=15, label="💡 ناتج CodeAgent"),
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| 167 |
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title="🤖 CodeAgent — Code Generator & Executor",
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| 168 |
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description="وكيل يقوم بتوليد الكود البرمجي بلغة بايثون وتنفيذه مباشرة باستخدام نموذج Qwen2.5-Coder-14B-Instruct-GGUF."
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)
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| 170 |
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| 171 |
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| 172 |
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# ------------------------------------------------------------
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| 173 |
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# 🧹 إغلاق آمن للنموذج
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| 174 |
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# ------------------------------------------------------------
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| 175 |
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def safe_close():
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| 176 |
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global llm
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| 177 |
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try:
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if llm is not None:
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llm.close()
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| 180 |
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logger.info("🧩 Model closed successfully.")
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| 181 |
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except Exception:
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| 182 |
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logger.exception("Error closing model.")
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| 183 |
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finally:
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| 184 |
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llm = None
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| 185 |
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atexit.register(safe_close)
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# ------------------------------------------------------------
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# 🚀 الإطلاق المتوافق مع الوكيل الأساسي
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# ------------------------------------------------------------
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if __name__ == "__main__":
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port = int(os.environ.get("PORT", 7861))
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logger.info(f"🚀 Launching CodeAgent on port {port}")
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iface.launch(server_name="0.0.0.0", server_port=port)
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