add

.gitea/workflows/build.yaml

@@ -0,0 +1,47 @@
+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 }}."

Dockerfile

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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 apt-get update && apt-get install python3.8-dev
+#RUN apt-get update && apt-get install python-dev
+RUN pip install -r requirements.txt
+
+CMD ["python", "app.py"]

app.py

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+import torch
+from PIL import Image
+import gradio as gr
+from lavis.models import load_model_and_preprocess
+from lavis.processors import load_processor
+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',
+)
+
+
+raw_image = Image.open("./merlion.png").convert("RGB")
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model, vis_processors, text_processors = load_model_and_preprocess("blip_image_text_matching", "large", device=device, is_eval=True)
+
+def image_text_match_compute(image, text):
+    raw_image = Image.open(image).convert("RGB")
+    img = vis_processors["eval"](raw_image).unsqueeze(0).to(device)
+    txt = text_processors["eval"](text)
+
+    itm_output = model({"image": img, "text_input": txt}, match_head="itm")
+    itm_scores = torch.nn.functional.softmax(itm_output, dim=1)
+
+    return f'The image and text are matched with a probability of {itm_scores[:, 1].item():.3%}' 
+
+
+with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
+    gr.Markdown("""
+        <div align='center' ><font size='60'>图片文本相似度计算</font></div>
+    """)
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(label="图片", type="filepath")
+            text = gr.Textbox(label="问题")
+            with gr.Row():
+                button = gr.Button("提交", variant="primary")
+        box2 = gr.Textbox(label="文本")
+
+    button.click(fn=image_text_match_compute, inputs=[image, text], outputs=box2)
+    examples = gr.Examples(examples=[['merlion.png', 'merlion in Singapore']],  inputs=[image, text], label="例子")
+
+
+if __name__ == "__main__":
+    demo.queue().launch(server_name = "0.0.0.0")

requirements.txt

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+contexttimer
+decord
+einops>=0.4.1
+fairscale==0.4.4
+ftfy
+iopath
+ipython
+omegaconf
+opencv-python-headless==4.5.5.64
+opendatasets
+packaging
+pandas
+plotly
+pre-commit
+pycocoevalcap
+pycocotools
+python-magic
+scikit-image
+sentencepiece
+spacy
+streamlit
+timm==0.4.12
+torch>=1.10.0
+torchvision
+tqdm
+transformers>=4.28.0
+webdataset
+wheel
+gradio
+salesforce-lavis