A (very) simple, text only chatbot using Society AI inference endpoint

Update .gitea/workflows/gradio-text-chatbot.yaml
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This commit is contained in:
Hezi Aharon 2024-11-02 06:37:50 +00:00
parent de8c208c06
commit 89e699cb56

@ -1,32 +1,43 @@
# Use a slim base image to reduce potential vulnerabilities name: society-ai-hub-container-cache Actions Demo
FROM python:3.10-slim-bookworm run-name: ${{ society-ai-hub-container-cache.actor }} is building an AI Application 🚀
on:
repository_dispatch:
types:
- created
# Create a non-root user and group with home directory set to /usr/src/app push:
RUN useradd --no-log-init -r -m -d /usr/src/app appuser branches:
- main
# Set the working directory jobs:
WORKDIR /usr/src/app build:
runs-on: ubuntu-latest
# Copy the requirements file and install the dependencies as root steps:
COPY requirements.txt . - name: Login to ECR
uses: docker/login-action@v3
RUN pip install --no-cache-dir uv==0.4.28 && \ with:
pip install --no-cache-dir -r requirements.txt registry: ${{ vars.ECR_REGISTRY }}
- name: configure AWS Credentials
# Copy the application code and set ownership to appuser uses: aws-actions/configure-aws-credentials@v4
COPY . . with:
aws-region: ${{ vars.AWS_REGION }}
# Change ownership of the application directory to appuser - name: Set up QEMU
RUN chown -R appuser:appuser /usr/src/app uses: https://github.com/actions/checkout@v4
- name: Set up Docker Buildx
# Switch to the non-root user uses: docker/setup-buildx-action@v3
USER appuser - name: Build and push Docker image
id: docker_build
# Expose the application port uses: docker/build-push-action@v5
EXPOSE 7860 with:
context: .
# Set environment variables file: ./Dockerfile
ENV GRADIO_SERVER_NAME="0.0.0.0" push: true
platforms: "linux/amd64"
# Run the application tags: "${{ vars.ECR_REGISTRY }}/gradio-app:${{ env.REPOSITORY_UUID }}"
CMD ["python", "app.py"] # cache-from: type=s3,region=${{ vars.AWS_REGION }},bucket=society-ai-hub-container-cache,mode=max
# cache-to: type=s3,region=${{ vars.AWS_REGION }},bucket=society-ai-hub-container-cache,mode=max,compress=true
cache-from: type=local,src=/tmp/
cache-to: type=local,dest=/tmp/
- name: Deploy App
run: |
helm -n default upgrade --install ${{ env.REPOSITORY_UUID }} /charts/gradio-app --set imageDigest=${{ steps.docker_build.outputs.digest }} --set uuid=${{ env.REPOSITORY_UUID }}