add build.yaml Dockerfile app.py requirements.txt
Build-Deploy-Actions Details

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songw 2023-04-18 15:09:48 +08:00
parent 9a8b643d7b
commit 92709404bf
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name: Build
run-name: ${{ github.actor }} is upgrade release 🚀
on: [push]
env:
REPOSITORY: ${{ github.repository }}
COMMIT_ID: ${{ github.sha }}
jobs:
Build-Deploy-Actions:
runs-on: ubuntu-latest
steps:
- run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event."
- run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by Gitea!"
- run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
- name: Check out repository code
uses: actions/checkout@v3
-
name: Setup Git LFS
run: |
git lfs install
git lfs fetch
git lfs checkout
- name: List files in the repository
run: |
ls ${{ github.workspace }}
-
name: Docker Image Info
id: image-info
run: |
echo "::set-output name=image_name::$(echo $REPOSITORY | tr '[:upper:]' '[:lower:]')"
echo "::set-output name=image_tag::${COMMIT_ID:0:10}"
-
name: Login to Docker Hub
uses: docker/login-action@v2
with:
registry: artifacts.iflytek.com
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
-
name: Build and push
run: |
docker version
docker buildx build -t artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }} . --file ${{ github.workspace }}/Dockerfile --load
docker push artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }}
docker rmi artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }}
- run: echo "🍏 This job's status is ${{ job.status }}."

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Dockerfile Normal file
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FROM python:3.8.13
WORKDIR /app
COPY . /app
RUN pip config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple
RUN pip install -r requirements.txt
CMD ["python", "app.py"]

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app.py Normal file
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import gradio as gr
from transformers import pipeline
from gradio.themes.utils import sizes
theme = gr.themes.Default(radius_size=sizes.radius_none).set(
block_label_text_color = '#4D63FF',
block_title_text_color = '#4D63FF',
button_primary_text_color = '#4D63FF',
button_primary_background_fill='#FFFFFF',
button_primary_border_color='#4D63FF',
button_primary_background_fill_hover='#EDEFFF',
)
classifier = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base", return_all_scores=True)
def sentiment_analysis(text):
results = classifier(text)
total_result = ""
for result in results[0]:
total_result += f"Sentiment: {result.get('label')}, Score: {result.get('score'):.2f}"
total_result += '\r\n'
return total_result
with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
gr.Markdown("""
<div align='center' ><font size='60'>文本情感分析</font></div>
""")
with gr.Row():
with gr.Column():
box1 = gr.Textbox(label="文本")
with gr.Row():
button = gr.Button("提交", variant="primary")
clear = gr.Button("清除", variant="primary")
box2 = gr.Textbox(label="文本")
button.click(fn=sentiment_analysis, inputs=box1, outputs=box2)
clear.click(lambda x: gr.update(value=''), [], [box1])
examples = gr.Examples(examples=[['I am happy!'], ['I am sad!']], inputs=[box1], label="例子")
if __name__ == "__main__":
demo.queue(concurrency_count=3)
demo.launch(server_name = "0.0.0.0", server_port = 7028)

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requirements.txt Normal file
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gradio
transformers
torch