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Running
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Nikita
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Commit
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64bc6d4
1
Parent(s):
5d5bc3a
upd dockerfile permission like developer of HF suggested
Browse files- Dockerfile +27 -28
Dockerfile
CHANGED
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# Base
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FROM continuumio/miniconda3
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#
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# --- ADD THESE LINES HERE ---
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# Set environment variables to control cache locations
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# This prevents permission errors by directing cache writes to a local .cache
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# directory within our /app folder, which is always writable.
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ENV HF_HOME=/app/.cache/huggingface
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ENV MPLCONFIGDIR=/app/.cache/matplotlib
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# ---------------------------
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# Copy environment.yaml for conda
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COPY environment.yaml /tmp/environment.yaml
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# Create the Conda environment
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RUN conda env create -f /tmp/environment.yaml
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#
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# Copy
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COPY
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#
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#
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# Expose
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EXPOSE 7860
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# Run
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# 1. Base Image: Start with Miniconda as your project requires it.
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FROM continuumio/miniconda3
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# 2. Create Conda Environment:
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# First, copy only the environment file and create the environment.
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# This is done as root and caches this layer, so it only re-runs if environment.yaml changes.
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COPY environment.yaml /tmp/environment.yaml
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RUN conda env create -f /tmp/environment.yaml
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# 3. Create a Non-Root User:
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# As shown in your example, we create a dedicated, non-root user to run the application.
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# This is a critical security and permissions best practice.
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RUN useradd -m -u 1000 user
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# 4. Copy Application Code:
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# Copy the rest of your application code into the user's home directory.
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# The `--chown=user:user` flag sets the correct ownership at the same time,
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# which is more efficient and cleaner than a separate `chown` command.
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COPY --chown=user:user . /home/user/app
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# 5. Switch to Non-Root User:
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# From this point on, all commands will be run as 'user'.
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USER user
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# 6. Set Working Directory:
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# Set the working directory to where the code was copied.
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WORKDIR /home/user/app
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# 7. Expose Port:
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# Expose the port your Gradio app will run on.
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EXPOSE 7860
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# 8. Run the Application:
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# Use the `conda run` command to execute your app within the 'tirex' environment.
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# Because we are now running as 'user', any libraries that need to write to a cache
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# (like Hugging Face, Matplotlib, or PyTorch) will do so inside `/home/user/.cache`,
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# which is writable by 'user', completely solving all previous permission errors.
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CMD ["conda", "run", "--no-capture-output", "-n", "tirex", "python", "app.py"]
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