Run ColBERT Space with Docker

Dockerfile

@@ -0,0 +1,22 @@
+FROM python:3.11-slim-bookworm
+
+ENV PYTHONUNBUFFERED=1 \
+    PIP_NO_CACHE_DIR=1 \
+    HF_HOME=/home/user/.cache/huggingface
+
+RUN useradd -m -u 1000 user
+
+WORKDIR /app
+COPY --chown=1000:1000 requirements.txt .
+
+RUN pip install --upgrade pip \
+    && pip install --index-url https://download.pytorch.org/whl/cpu "torch==2.8.0+cpu" \
+    && pip install -r requirements.txt \
+    && pip install "gradio[oauth,mcp]==5.49.1" "uvicorn>=0.14.0" "websockets>=10.4" spaces
+
+COPY --chown=1000:1000 . .
+
+USER 1000
+EXPOSE 7860
+
+CMD ["python", "app.py"]

README.md

@@ -3,9 +3,8 @@ title: LFM2 ColBERT
 emoji: 🏆
 colorFrom: purple
 colorTo: pink
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
 short_description: One Model to Embed Them All
 ---

app.py

@@ -258,4 +258,4 @@ with gr.Blocks(title="Cross-Lingual Retrieval Demo", theme=gr.themes.Soft(primar
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(server_name="0.0.0.0", server_port=7860)