Update Dockerfile

Dockerfile

@@ -1,66 +1,61 @@
-FROM python:3.11-slim
-
-# Build arguments for conditional installation
-ARG INSTALL_OLLAMA=false
-ARG INSTALL_LOCAL_VECTOR_DB=false
-
-# Set working directory
-WORKDIR /allycat
-
-# Set environment variables - Cloud-first defaults
-ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1 \
-    LLM_RUN_ENV=cloud \
-    VECTOR_DB_TYPE=cloud_zilliz
-
-
-# Install minimal system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    bash \
-    curl \
-    git \
-    netcat-traditional \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy requirements file - Use cloud-optimized by default
-COPY requirements-docker-cloud.txt .
-
-# Install Python dependencies
-RUN pip install --no-cache-dir -r requirements-docker-cloud.txt
-
-# Conditional: Install Ollama only if requested
-RUN if [ "$INSTALL_OLLAMA" = "true" ]; then \
-        echo "Installing Ollama for local LLM support..."; \
-        curl -fsSL https://ollama.com/install.sh | sh; \
-    else \
-        echo "Skipping Ollama installation - using cloud LLM mode"; \
-    fi
-
-# Conditional: Install local vector DB dependencies
-RUN if [ "$INSTALL_LOCAL_VECTOR_DB" = "true" ]; then \
-        echo "Installing milvus-lite for local vector database..."; \
-        pip install --no-cache-dir milvus-lite==2.4.11; \
-    else \
-        echo "Skipping local vector DB - using Zilliz Cloud"; \
-    fi
-
-# Copy project files
-COPY . .
-RUN chmod +x ./docker-startup.sh
-
-# Cleanup unnecessary files
-RUN rm -rf .env workspace/* __pycache__ *.pyc
-
-# Expose all application ports (EXPOSE doesn't support env variables at build time)
-# Port 8080 = FLASK_GRAPH_PORT (default) / DOCKER_APP_PORT (default)
-# Port 8081 = FLASK_VECTOR_PORT (default)
-# Port 8082 = CHAINLIT_VECTOR_PORT (default)
-# Port 8083 = CHAINLIT_GRAPH_PORT (default)
-# Port mapping controlled by docker-compose.yml: ${DOCKER_PORT}:${DOCKER_APP_PORT}
-EXPOSE 8080 8081 8082 8083
-# Port 11434 = OLLAMA_PORT (default) - only used if INSTALL_OLLAMA=true
-EXPOSE 11434
-
-ENTRYPOINT ["./docker-startup.sh"]
-CMD ["deploy"]
+# ============================================================
+# AllyCat – Flask Graph + RAG (Cloud / Local optional)
+# Hugging Face Spaces–ready Dockerfile
+# ============================================================
+
+FROM python:3.11-slim
+
+# --- Build args for optional features -----------------------
+ARG INSTALL_OLLAMA=false
+ARG INSTALL_LOCAL_VECTOR_DB=false
+
+# --- Workdir & environment ----------------------------------
+WORKDIR /allycat
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    LLM_RUN_ENV=cloud \
+    VECTOR_DB_TYPE=cloud_zilliz \
+    HF_SPACE=true
+
+# --- Base system deps ---------------------------------------
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    bash curl git netcat-traditional dos2unix \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
+# --- Python deps --------------------------------------------
+COPY requirements-docker-cloud.txt .
+RUN pip install --no-cache-dir -r requirements-docker-cloud.txt
+
+# --- Conditional installs -----------------------------------
+RUN if [ "$INSTALL_OLLAMA" = "true" ]; then \
+        echo "Installing Ollama (local LLM mode)"; \
+        curl -fsSL https://ollama.com/install.sh | sh; \
+    else \
+        echo "Skipping Ollama – using cloud LLM mode"; \
+    fi
+
+RUN if [ "$INSTALL_LOCAL_VECTOR_DB" = "true" ]; then \
+        echo "Installing Milvus-lite (local vector DB)"; \
+        pip install --no-cache-dir milvus-lite==2.4.11; \
+    else \
+        echo "Skipping local vector DB – using Zilliz Cloud"; \
+    fi
+
+# --- Copy project files -------------------------------------
+COPY . .
+RUN dos2unix docker-startup.sh && chmod +x docker-startup.sh
+
+# --- Clean temporary files ----------------------------------
+RUN rm -rf __pycache__ *.pyc
+
+# --- Port & startup (Hugging Face exposes 7860) -------------
+EXPOSE 7860
+
+CMD bash -c "\
+    echo '🚀 Starting AllyCat on Hugging Face...'; \
+    if [ -f ./docker-startup.sh ]; then \
+        ./docker-startup.sh deploy; \
+    else \
+        python app_flask_graph.py; \
+    fi"