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Duplicate from sayakpaul/demo-docker-gradio

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Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>

Files changed (5) hide show
  1. .gitattributes +34 -0
  2. Dockerfile +28 -0
  3. README.md +12 -0
  4. main.py +30 -0
  5. requirements.txt +4 -0
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Dockerfile ADDED
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+ # read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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+ # you will also find guides on how best to write your Dockerfile
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+
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+ FROM python:3.9
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+
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+ WORKDIR /code
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+
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+ COPY ./requirements.txt /code/requirements.txt
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+
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+ RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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+
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+ # Set up a new user named "user" with user ID 1000
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+ RUN useradd -m -u 1000 user
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+
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+ # Switch to the "user" user
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+ USER user
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+
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+ # Set home to the user's home directory
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+ ENV HOME=/home/user \
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+ PATH=/home/user/.local/bin:$PATH
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+
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+ # Set the working directory to the user's home directory
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+ WORKDIR $HOME/app
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+
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+ # Copy the current directory contents into the container at $HOME/app setting the owner to the user
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+ COPY --chown=user . $HOME/app
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+
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+ CMD ["python", "main.py"]
README.md ADDED
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+ ---
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+ title: Demo Docker Gradio
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+ emoji: πŸ“ˆ
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+ colorFrom: indigo
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+ colorTo: indigo
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+ sdk: docker
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+ pinned: false
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+ license: apache-2.0
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+ duplicated_from: sayakpaul/demo-docker-gradio
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
main.py ADDED
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+ import gradio as gr
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+ import torch
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+ import requests
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+ from torchvision import transforms
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+
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+ model = torch.hub.load("pytorch/vision:v0.6.0", "resnet18", pretrained=True).eval()
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+ response = requests.get("https://git.io/JJkYN")
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+ labels = response.text.split("\n")
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+
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+
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+ def predict(inp):
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+ inp = transforms.ToTensor()(inp).unsqueeze(0)
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+ with torch.no_grad():
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+ prediction = torch.nn.functional.softmax(model(inp)[0], dim=0)
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+ confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
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+ return confidences
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+
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+
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+ def run():
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+ demo = gr.Interface(
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+ fn=predict,
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+ inputs=gr.inputs.Image(type="pil"),
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+ outputs=gr.outputs.Label(num_top_classes=3),
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+ )
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+
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+ demo.launch(server_name="0.0.0.0", server_port=7860)
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+
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+
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+ if __name__ == "__main__":
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+ run()
requirements.txt ADDED
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+ gradio
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+ torch
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+ torchvision
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+ requests