deply-v1.1.0

.gitmodules

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+[submodule "Andromeda"]
+	path = Andromeda
+	url = https://github.com/Imageomics/Andromeda

Andromeda

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+Subproject commit b3ec75c0f0022e3054547d94b4dc72a360b707c9

Dockerfile

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-FROM ghcr.io/imageomics/andromeda:1.3.0
+FROM node:18.16.0 as builder
+WORKDIR /src
+COPY ./Andromeda/andromeda-ui/package.json ./
+RUN npm install
+COPY ./Andromeda/andromeda-ui/. .
+RUN npm run build
+
+FROM python:3.11
+
+COPY ./Andromeda/andromeda/requirements.txt /tmp/requirements.txt
+WORKDIR /tmp
+RUN pip3 install gunicorn && pip3 install -r requirements.txt
+
+COPY ./Andromeda/andromeda/. /api
+COPY ./app.py /api/app.py
+COPY --from=builder /src/out /api/static
+WORKDIR /api
+
+# fix since root home directory is read only in HF
+RUN mkdir /tmp/home
+RUN chmod a+w /tmp/home
+ENV XDG_DATA_HOME=/tmp/home
+
+CMD python app.py

README.md

@@ -8,11 +8,4 @@ pinned: false
 license: mit
 ---
 
-Andromeda allows users to visualize high dimensional data in a 2-dimensional plot using weighted multidimensional scaling. Through the interactive interface users can explore the relationships within their data by adjusting the variable weights and viewing an updated plot.  Alternatively users can arrange the items  in the plot so that Andromeda can determine new variable weights and create a new projection. 
-
-The _Fetch image data_ tab gives users the ability to fetch data from iNaturalist observations and pair them with satellite RGB and landcover data for analysis with Andromeda. 
-
-This Andromeda instance allows users to perform dimensional reduction on an uploaded CSV file. A toy sample CSV for trying the interface can be found on the [GitHub Repository](https://github.com/Imageomics/Andromeda/blob/main/datasets/cartoonAnimals/Animal_Data_TaylorEtal.csv). 
-
-
-For more information, see our [GitHub](https://github.com/Imageomics/Andromeda).
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# Adds logic to serve static html for running within huggingface
+from flask import send_from_directory, request
+from main import app
+
+@app.errorhandler(404)
+def page_not_found(e):
+    path = request.path.lstrip('/')
+    if path == '':
+       path = 'index.html'
+    print(path)
+    return send_from_directory('static', path)
+
+if __name__ == '__main__':
+   app.run(host="0.0.0.0", port=7860)