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Duplicate from sayakpaul/demo-docker-gradio
Browse filesCo-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>
- .gitattributes +34 -0
- Dockerfile +28 -0
- README.md +12 -0
- main.py +30 -0
- requirements.txt +4 -0
.gitattributes
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Dockerfile
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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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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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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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# Switch to the "user" user
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USER user
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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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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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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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CMD ["python", "main.py"]
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README.md
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---
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title: Demo Docker Gradio
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emoji: π
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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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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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main.py
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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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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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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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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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demo.launch(server_name="0.0.0.0", server_port=7860)
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if __name__ == "__main__":
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run()
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requirements.txt
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gradio
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torch
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torchvision
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requests
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