add
Build-Deploy-Actions
Details
Build-Deploy-Actions
Details
This commit is contained in:
songw
parent
a908494a10
commit
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name: Build
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run-name: ${{ github.actor }} is upgrade release 🚀
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on: [push]
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env:
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REPOSITORY: ${{ github.repository }}
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COMMIT_ID: ${{ github.sha }}
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jobs:
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Build-Deploy-Actions:
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runs-on: ubuntu-latest
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steps:
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- run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event."
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- run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by Gitea!"
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- run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
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- name: Check out repository code
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uses: actions/checkout@v3
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-
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name: Setup Git LFS
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run: |
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git lfs install
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git lfs fetch
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git lfs checkout
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- name: List files in the repository
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run: |
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ls ${{ github.workspace }}
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-
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name: Docker Image Info
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id: image-info
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run: |
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echo "::set-output name=image_name::$(echo $REPOSITORY | tr '[:upper:]' '[:lower:]')"
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echo "::set-output name=image_tag::${COMMIT_ID:0:10}"
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-
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name: Login to Docker Hub
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uses: docker/login-action@v2
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with:
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registry: artifacts.iflytek.com
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v2
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-
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name: Build and push
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run: |
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docker version
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docker buildx build -t artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }} . --file ${{ github.workspace }}/Dockerfile --load
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docker push artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }}
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docker rmi artifacts.iflytek.com/docker-private/atp/${{ steps.image-info.outputs.image_name }}:${{ steps.image-info.outputs.image_tag }}
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- run: echo "🍏 This job's status is ${{ job.status }}."
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FROM python:3.8.13
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WORKDIR /app
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COPY . /app
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RUN pip config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple
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#RUN apt-get update && apt-get install python3.8-dev
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#RUN apt-get update && apt-get install python-dev
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RUN pip install -r requirements.txt
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CMD ["python", "app.py"]
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import torch
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from PIL import Image
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import gradio as gr
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from lavis.models import load_model_and_preprocess
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from lavis.processors import load_processor
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from gradio.themes.utils import sizes
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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raw_image = Image.open("./merlion.png").convert("RGB")
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model, vis_processors, text_processors = load_model_and_preprocess("blip_image_text_matching", "large", device=device, is_eval=True)
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def image_text_match_compute(image, text):
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raw_image = Image.open(image).convert("RGB")
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img = vis_processors["eval"](raw_image).unsqueeze(0).to(device)
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txt = text_processors["eval"](text)
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itm_output = model({"image": img, "text_input": txt}, match_head="itm")
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itm_scores = torch.nn.functional.softmax(itm_output, dim=1)
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return f'The image and text are matched with a probability of {itm_scores[:, 1].item():.3%}'
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with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
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gr.Markdown("""
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<div align='center' ><font size='60'>图片文本相似度计算</font></div>
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""")
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with gr.Row():
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with gr.Column():
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image = gr.Image(label="图片", type="filepath")
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text = gr.Textbox(label="问题")
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with gr.Row():
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button = gr.Button("提交", variant="primary")
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box2 = gr.Textbox(label="文本")
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button.click(fn=image_text_match_compute, inputs=[image, text], outputs=box2)
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examples = gr.Examples(examples=[['merlion.png', 'merlion in Singapore']], inputs=[image, text], label="例子")
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if __name__ == "__main__":
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demo.queue().launch(server_name = "0.0.0.0")
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contexttimer
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decord
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einops>=0.4.1
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fairscale==0.4.4
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ftfy
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iopath
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ipython
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omegaconf
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opencv-python-headless==4.5.5.64
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opendatasets
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packaging
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pandas
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plotly
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pre-commit
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pycocoevalcap
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pycocotools
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python-magic
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scikit-image
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sentencepiece
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spacy
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streamlit
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timm==0.4.12
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torch>=1.10.0
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torchvision
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tqdm
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transformers>=4.28.0
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webdataset
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wheel
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gradio
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salesforce-lavis
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