Spaces:
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Merge pull request #63 from marimo-team/ms/gallery
Browse files- .github/workflows/hf_sync.yml +19 -0
- Dockerfile +13 -0
- _server/README.md +21 -0
- _server/main.py +90 -0
.github/workflows/hf_sync.yml
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name: Sync to Hugging Face hub
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on:
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push:
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branches: [main]
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# to run this workflow manually from the Actions tab
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push https://mylessss:[email protected]/spaces/marimo-team/marimo-learn main
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Dockerfile
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
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COPY _server/main.py _server/main.py
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COPY polars/ polars/
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COPY duckdb/ duckdb/
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RUN uv venv
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RUN uv export --script _server/main.py | uv pip install -r -
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ENV PORT=7860
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EXPOSE 7860
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CMD ["uv", "run", "_server/main.py"]
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_server/README.md
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# marimo learn server
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This folder contains server code for hosting marimo apps.
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## Running the server
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```bash
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uv run --no-project main.py
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```
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## Building a Docker image
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```bash
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docker build -t marimo-learn .
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```
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## Running the Docker container
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```bash
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docker run -p 7860:7860 marimo-learn
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```
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_server/main.py
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# /// script
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# requires-python = ">=3.12"
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# dependencies = [
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# "fastapi",
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# "marimo",
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# "starlette",
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# "python-dotenv",
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# "pydantic",
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# "duckdb",
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# "altair==5.5.0",
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# "beautifulsoup4==4.13.3",
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# "httpx==0.28.1",
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# "marimo",
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# "nest-asyncio==1.6.0",
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# "numba==0.61.0",
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# "numpy==2.1.3",
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# "polars==1.24.0",
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# ]
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# ///
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import logging
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import os
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from pathlib import Path
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import marimo
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from dotenv import load_dotenv
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from fastapi import FastAPI, Request
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from fastapi.responses import HTMLResponse
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# Load environment variables
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load_dotenv()
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Get port from environment variable or use default
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PORT = int(os.environ.get("PORT", 7860))
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root_dir = Path(__file__).parent.parent
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ROOTS = [
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root_dir / "polars",
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root_dir / "duckdb",
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]
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server = marimo.create_asgi_app(include_code=True)
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app_names: list[str] = []
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for root in ROOTS:
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for filename in root.iterdir():
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if filename.is_file() and filename.suffix == ".py":
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app_path = root.stem + "/" + filename.stem
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server = server.with_app(path=f"/{app_path}", root=str(filename))
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app_names.append(app_path)
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# Create a FastAPI app
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app = FastAPI()
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logger.info(f"Mounting {len(app_names)} apps")
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for app_name in app_names:
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logger.info(f" /{app_name}")
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@app.get("/")
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async def home(request: Request):
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html_content = """
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<!DOCTYPE html>
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<html>
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<head>
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<title>marimo learn</title>
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</head>
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<body>
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<h1>Welcome to marimo learn!</h1>
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<p>This is a collection of interactive tutorials for learning data science libraries with marimo.</p>
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<p>Check out the <a href="https://github.com/marimo-team/learn">GitHub repository</a> for more information.</p>
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</body>
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</html>
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"""
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return HTMLResponse(content=html_content)
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app.mount("/", server.build())
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# Run the server
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=PORT, log_level="info")
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