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

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songw 2023-04-19 10:35:21 +08:00
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commit 406c7a1ee5
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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
ENV PYHTONUNBUFFERED=1
RUN apt-get update \
&& apt-get -y install tesseract-ocr
RUN pip install -r requirements.txt
CMD ["python", "app.py"]

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app.py Normal file
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from transformers import pipeline
import gradio as gr
from PIL import Image
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',
)
nlp = pipeline(
"document-question-answering",
model="impira/layoutlm-document-qa",
)
def vqa(image, question):
inp = Image.fromarray(image.astype('uint8'), 'RGB')
return nlp(inp, question)
with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
gr.Markdown("""
<div align='center' ><font size='60'>图片问答</font></div>
""")
with gr.Row():
with gr.Column():
image = gr.Image(label="图片")
question = gr.Textbox(label="问题")
with gr.Row():
button = gr.Button("提交", variant="primary")
box2 = gr.Textbox(label="文本")
button.click(fn=vqa, inputs=[image, question], outputs=box2)
examples = gr.Examples(examples=[['income.png', 'What are the 2020 net sales?'], ['invoice.png','What is the invoice number?']], inputs=[image, question], label="例子")
if __name__ == "__main__":
demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0")

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requirements.txt Normal file
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pytesseract
tesseract
transformers
Pillow
torch
gradio