Update Dockerfile

Dockerfile

@@ -5,13 +5,13 @@ FROM python:3.10-slim
 # Set working directory
 WORKDIR /app
 
-# Set environment variables for better Python behavior
+# Environment variables for better Python behavior
 ENV PYTHONUNBUFFERED=1 \
     PYTHONDONTWRITEBYTECODE=1 \
     PIP_NO_CACHE_DIR=1 \
     PIP_DISABLE_PIP_VERSION_CHECK=1
 
-# Install system dependencies required for building Python packages
+# System dependencies required for building Python packages
 RUN apt-get update && apt-get install -y --no-install-recommends \
     gcc \
     g++ \
@@ -22,50 +22,36 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Copy requirements first for better layer caching
 COPY requirements.txt .
 
-# Install Python dependencies with optimizations
-# Split into two steps: core dependencies first, then ML libraries
-RUN pip install --no-cache-dir \
-    fastapi==0.104.1 \
-    uvicorn[standard]==0.24.0 \
-    pydantic==2.5.0 \
-    python-multipart==0.0.6 \
-    websockets==12.0 \
-    SQLAlchemy==2.0.23 \
-    APScheduler==3.10.4 \
-    aiohttp==3.9.1 \
-    requests==2.31.0 \
-    httpx \
-    python-dotenv==1.0.0 \
-    feedparser==6.0.11 \
-    gradio==4.14.0 \
-    pandas==2.1.4 \
-    plotly==5.18.0
+# ✅ Install core Python dependencies from requirements.txt
+#   (اینجا دیگه نسخه‌ها فقط از requirements.txt خوانده می‌شن)
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Install HuggingFace ML dependencies separately
+# ✅ Install HuggingFace / ML dependencies separately
 RUN pip install --no-cache-dir \
-    transformers>=4.44.0 \
-    datasets>=3.0.0 \
-    huggingface_hub>=0.24.0 \
-    torch>=2.0.0 --index-url https://download.pytorch.org/whl/cpu \
-    sentencepiece>=0.1.99 \
-    protobuf>=3.20.0
+    "transformers>=4.44.0" \
+    "datasets>=3.0.0" \
+    "huggingface_hub>=0.24.0" \
+    "sentencepiece>=0.1.99" \
+    "protobuf>=3.20.0" && \
+    pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu \
+    "torch>=2.0.0"
 
 # Copy all application code
 COPY . .
 
 # Create necessary directories
-RUN mkdir -p data logs
-
-# Set proper permissions for data directories
-RUN chmod -R 755 data logs
+RUN mkdir -p data logs && \
+    chmod -R 755 data logs
 
 # Expose port 7860 (HuggingFace Spaces standard port)
 EXPOSE 7860
 
 # Health check endpoint for HuggingFace Spaces
+# مطمئن شو تو FastAPI روت /health رو داری، مثلاً:
+# @app.get("/health") -> {"status": "ok"}
 HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
     CMD curl -f http://localhost:7860/health || exit 1
 
 # Run the FastAPI application with uvicorn
-# Using multiple workers for better performance (adjust based on available resources)
+# UI تو می‌تونه HTML استاتیک باشه؛ مهم اینه FastAPI این‌ها رو سرو کنه
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--log-level", "info", "--workers", "1"]