Update Dockerfile

Dockerfile

@@ -1,22 +1,25 @@
-# Start from a lightweight Python 3.10 system
-FROM python:3.10-slim
+# Use a Python 3.10 image based on Debian Bookworm (Not Alpine!)
+FROM python:3.10-bookworm
 
 # Set working directory
 WORKDIR /app
 
-# 1. Install System Dependencies (Essential for Gradio)
+# 1. Install system tools and build essentials
+# We add g++ and make just in case the system needs to link local binaries
 RUN apt-get update && apt-get install -y \
     libgl1 \
     libglib2.0-0 \
     git \
+    g++ \
+    make \
     && rm -rf /var/lib/apt/lists/*
 
-# 2. Setup Pip Environment (Binary Only to prevent crashing)
+# 2. Strict Pip Environment
 ENV PIP_NO_CACHE_DIR=1
 ENV PIP_ONLY_BINARY=:all:
 RUN pip install --upgrade pip
 
-# 3. Install Dependencies ONE BY ONE (Stability Protocol)
+# 3. Individual Component Install (Memory Protection)
 RUN pip install numpy==1.26.4
 RUN pip install cryptography==42.0.5
 RUN pip install huggingface_hub==0.23.0
@@ -25,11 +28,11 @@ RUN pip install pandas==2.2.2
 RUN pip install matplotlib==3.8.4
 RUN pip install gradio==4.44.0
 
-# 4. Install Llama CPP (The Verified Link)
-# We use the exact URL you found in the assets list.
-RUN pip install https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.90/llama_cpp_python-0.2.90-cp310-cp310-linux_x86_64.whl
+# 4. Install Llama-CPP-Python (The Reliable Method)
+# We avoid external URLs and use the standard index with a CPU-FORCE flag
+RUN CMAKE_ARGS="-DLLAMA_BLAS=OFF -DLLAMA_CUDA=OFF" pip install llama-cpp-python==0.2.90
 
-# 5. Finalize
+# 5. finalize
 COPY . .
 ENV GRADIO_SERVER_NAME="0.0.0.0"
 EXPOSE 7860