4

.gitattributes

@@ -1,35 +1,35 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -1,28 +1,28 @@
-FROM python:3.10-slim
-
-# إضافة حزم أساسية فقط
-RUN apt-get update && apt-get install -y \
-    build-essential pkg-config curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# إضافة مستخدم غير root
-RUN useradd -m -u 1000 user
-WORKDIR /home/user/app
-COPY --chown=user . .
-
-# مجلد التخزين المؤقت للنموذج
-RUN mkdir -p /home/user/app/data && chown -R user:user /home/user/app/data
-
-# إنشاء البيئة الافتراضية
-RUN python -m venv /home/user/venv
-ENV PATH="/home/user/venv/bin:$PATH"
-
-
-# تثبيت المتطلبات
-RUN pip install --upgrade pip
-RUN pip install --no-cache-dir -r requirements.txt
-
-USER user
-
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
-EXPOSE 7860
+FROM python:3.10-slim
+
+# إضافة حزم أساسية فقط
+RUN apt-get update && apt-get install -y \
+    build-essential pkg-config curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# إضافة مستخدم غير root
+RUN useradd -m -u 1000 user
+WORKDIR /home/user/app
+COPY --chown=user . .
+
+# مجلد التخزين المؤقت للنموذج
+RUN mkdir -p /home/user/app/data && chown -R user:user /home/user/app/data
+
+# إنشاء البيئة الافتراضية
+RUN python -m venv /home/user/venv
+ENV PATH="/home/user/venv/bin:$PATH"
+
+
+# تثبيت المتطلبات
+RUN pip install --upgrade pip
+RUN pip install --no-cache-dir -r requirements.txt
+
+USER user
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+EXPOSE 7860

README.md

@@ -1,13 +1,13 @@
----
-title: AI Development Assistant
-emoji: 🏢
-colorFrom: green
-colorTo: indigo
-sdk: docker
-pinned: false
-license: apache-2.0
-short_description: Multi-level programmer with simple interface
-app_port: 7860
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: AI Development Assistant
+emoji: 🏢
+colorFrom: green
+colorTo: indigo
+sdk: docker
+pinned: false
+license: apache-2.0
+short_description: Multi-level programmer with simple interface
+app_port: 7860
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -121,11 +121,11 @@ def load_local_model_if_configured():
         logger.warning("⚠️ llama_cpp غير متاح. لن يعمل النموذج المحلي.")
         return
 
-    try:
+        try:
         logger.info(f"⬇️ تحميل نموذج GGUF: {LOCAL_GGUF_REPO}/{LOCAL_GGUF_FILE}")
         llm = Llama.from_pretrained(
-            repo_id=LOCAL_GGUF_REPO,
-            filename=LOCAL_GGUF_FILE,
+                repo_id=LOCAL_GGUF_REPO,
+                filename=LOCAL_GGUF_FILE,
             # Llama params
             n_ctx=int(os.getenv("N_CTX", "32768")),
             n_threads=int(os.getenv("N_THREADS", "2")),
@@ -212,7 +212,7 @@ def call_hf_inference(prompt: str, max_new_tokens: int = 900) -> str:
     raise RuntimeError("تم تعطيل HF Inference. النموذج المحلي مستخدم فقط.")
 
 def call_llm(prompt: str, max_tokens: int = 900) -> str:
-    return call_local_llm(prompt, max_tokens)
+        return call_local_llm(prompt, max_tokens)
 
 # =========================
 # بناء الـ Prompt للدردشة (نسخة مبسطة)
@@ -442,10 +442,10 @@ def classify_intent(history: List[List[str]], message: str) -> Dict[str, Any]:
 def chat(req: ChatRequest):
     history = get_history(req.session_id)
     prompt = build_chat_prompt(history, req.message, "")
-    try:
-        response_text = call_llm(prompt, max_tokens=700)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"LLM error: {str(e)}")
+        try:
+            response_text = call_llm(prompt, max_tokens=700)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=f"LLM error: {str(e)}")
 
     updated = (history + [[req.message, response_text]])[-8:]
     save_history(req.session_id, updated)

docker-compose.yml

@@ -1,20 +1,20 @@
-version: '3.9'
-
-services:
-  ai-assistant:
-    build:
-      context: .
-      dockerfile: Dockerfile
-    container_name: ai-dev-assistant
-    ports:
-      - "7860:7860"
-    volumes:
-      - ./data:/home/user/app/data
-    environment:
-      - HF_TOKEN=${HF_TOKEN}
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:7860/"]
-      interval: 30s
-      timeout: 20s
+version: '3.9'
+
+services:
+  ai-assistant:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    container_name: ai-dev-assistant
+    ports:
+      - "7860:7860"
+    volumes:
+      - ./data:/home/user/app/data
+    environment:
+      - HF_TOKEN=${HF_TOKEN}
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:7860/"]
+      interval: 30s
+      timeout: 20s
       retries: 5

main.py

@@ -1,26 +1,26 @@
-import logging
-import os
-
-# إعداد السجل قبل الاستيرادات الأخرى
-logging.basicConfig(
-    level=logging.DEBUG,
-    format="🪵 [%(asctime)s] [%(levelname)s] %(message)s",
-    handlers=[
-        logging.StreamHandler(),
-        logging.FileHandler("data/app.log")
-    ]
-)
-logger = logging.getLogger(__name__)
-
-# إنشاء مجلد data إذا لم يكن موجوداً
-data_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data")
-os.makedirs(data_dir, exist_ok=True)
-logger.info(f"📁 مجلد البيانات جاهز: {data_dir}")
-
-try:
-    from app import app
-    logger.info("✅ استيراد app من app.py ناجح")
-    
-except ImportError as e:
-    logger.error(f"❌ فشل استيراد app من app.py: {str(e)}")
+import logging
+import os
+
+# إعداد السجل قبل الاستيرادات الأخرى
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="🪵 [%(asctime)s] [%(levelname)s] %(message)s",
+    handlers=[
+        logging.StreamHandler(),
+        logging.FileHandler("data/app.log")
+    ]
+)
+logger = logging.getLogger(__name__)
+
+# إنشاء مجلد data إذا لم يكن موجوداً
+data_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data")
+os.makedirs(data_dir, exist_ok=True)
+logger.info(f"📁 مجلد البيانات جاهز: {data_dir}")
+
+try:
+    from app import app
+    logger.info("✅ استيراد app من app.py ناجح")
+    
+except ImportError as e:
+    logger.error(f"❌ فشل استيراد app من app.py: {str(e)}")
     raise

requirements.txt

@@ -5,4 +5,4 @@ psutil==5.9.8
 aiosqlite==0.20.0
 python-multipart==0.0.9
 transformers==4.42.4
-llama-cpp-python --config-settings "cmake.args=-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS"
+llama-cpp-python==0.2.84