Update dockerfile

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.13-slim
+FROM python:3.13
 
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
@@ -9,36 +9,9 @@ RUN apt-get update && \
 WORKDIR /app
 
 COPY src/ src/
-COPY packages/data_prep/generated/ packages/data_prep/generated/
 
-RUN uv pip install --system \
-    --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu \
-    "gradio>=6.12.0" \
-    "huggingface-hub>=0.30.0" \
-    "llama-cpp-python>=0.3.19" \
-    "llama-index>=0.14.20" \
-    "llama-index-embeddings-huggingface>=0.7.0" \
-    "numpy>=2.0.0"
-
-RUN useradd -m -u 1000 user
-USER user
-
-ENV HOME=/home/user \
-    PYTHONPATH=/app/src \
-    GRADIO_SERVER_NAME=0.0.0.0
-
-RUN python -c "\
-from huggingface_hub import hf_hub_download, list_repo_files; \
-files = list_repo_files('Jackrong/Qwen3.5-4B-Neo-GGUF'); \
-gguf = [f for f in files if f.endswith('.gguf')]; \
-target = next((f for f in gguf if 'Q4_K_M' in f.upper()), gguf[0]); \
-print(f'Downloading {target}...'); \
-hf_hub_download('Jackrong/Qwen3.5-4B-Neo-GGUF', target)"
-
-RUN python -c "\
-from llama_index.embeddings.huggingface import HuggingFaceEmbedding; \
-HuggingFaceEmbedding(model_name='BAAI/bge-small-en-v1.5')"
+RUN uv sync --frozen
 
 EXPOSE 7860
 
-CMD ["python", "-m", "big_data_application"]
+CMD ["uv", "run", "-m", "big_data_application"]