A (very) simple, text only chatbot using Society AI inference endpoint
Update .gitea/workflows/gradio-text-chatbot.yaml
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society-ai-hub-container-cache Actions Demo / build (push) Successful in 26s
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society-ai-hub-container-cache Actions Demo / build (push) Successful in 26s
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# Use a slim base image to reduce potential vulnerabilities
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FROM python:3.10-slim-bookworm
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name: society-ai-hub-container-cache Actions Demo
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run-name: ${{ society-ai-hub-container-cache.actor }} is building an AI Application 🚀
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on:
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repository_dispatch:
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types:
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- created
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# Create a non-root user and group with home directory set to /usr/src/app
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RUN useradd --no-log-init -r -m -d /usr/src/app appuser
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push:
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branches:
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- main
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# Set the working directory
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WORKDIR /usr/src/app
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# Copy the requirements file and install the dependencies as root
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COPY requirements.txt .
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RUN pip install --no-cache-dir uv==0.4.28 && \
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pip install --no-cache-dir -r requirements.txt
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# Copy the application code and set ownership to appuser
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COPY . .
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# Change ownership of the application directory to appuser
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RUN chown -R appuser:appuser /usr/src/app
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# Switch to the non-root user
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USER appuser
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# Expose the application port
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EXPOSE 7860
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# Set environment variables
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ENV GRADIO_SERVER_NAME="0.0.0.0"
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# Run the application
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CMD ["python", "app.py"]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Login to ECR
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uses: docker/login-action@v3
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with:
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registry: ${{ vars.ECR_REGISTRY }}
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- name: configure AWS Credentials
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uses: aws-actions/configure-aws-credentials@v4
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with:
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aws-region: ${{ vars.AWS_REGION }}
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- name: Set up QEMU
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uses: https://github.com/actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Build and push Docker image
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id: docker_build
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uses: docker/build-push-action@v5
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with:
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context: .
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file: ./Dockerfile
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push: true
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platforms: "linux/amd64"
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tags: "${{ vars.ECR_REGISTRY }}/gradio-app:${{ env.REPOSITORY_UUID }}"
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# cache-from: type=s3,region=${{ vars.AWS_REGION }},bucket=society-ai-hub-container-cache,mode=max
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# cache-to: type=s3,region=${{ vars.AWS_REGION }},bucket=society-ai-hub-container-cache,mode=max,compress=true
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cache-from: type=local,src=/tmp/
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cache-to: type=local,dest=/tmp/
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- name: Deploy App
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run: |
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helm -n default upgrade --install ${{ env.REPOSITORY_UUID }} /charts/gradio-app --set imageDigest=${{ steps.docker_build.outputs.digest }} --set uuid=${{ env.REPOSITORY_UUID }}
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