Duplicate from DockerTemplates/secret-example

Co-authored-by: Omar Sanseviero <[email protected]>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY ./main.py /code/app/main.py
+
+# Get secret EXAMPLE and output it to /test at buildtime
+RUN --mount=type=secret,id=EXAMPLE,mode=0444,required=true \
+   cat /run/secrets/EXAMPLE > /test
+
+# Get secret SECRET_EXAMPLE and clone it as repo at buildtime
+RUN --mount=type=secret,id=SECRET_EXAMPLE,mode=0444,required=true \
+  git clone $(cat /run/secrets/SECRET_EXAMPLE)
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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+---
+title: Secrets
+emoji: 🐳
+colorFrom: purple
+colorTo: gray
+sdk: docker
+app_port: 7860
+pinned: false
+duplicated_from: DockerTemplates/secret-example
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+from typing import Union
+
+from fastapi import FastAPI
+import os
+
+app = FastAPI()
+
+
+@app.get("/")
+def read_root():
+    return {"Hello EXAMPLE": os.environ.get("EXAMPLE"),
+            "Hello SECRET_EXAMPLE": os.environ.get("SECRET_EXAMPLE")
+            }

requirements.txt

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+fastapi>=0.68.0,<0.69.0
+pydantic>=1.8.0,<2.0.0
+uvicorn>=0.15.0,<0.16.0