Download app.py from GroupSix/bridge: direct link, hf CLI and curl.
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https://huggingface.co/spaces/GroupSix/bridge/resolve/main/app.py
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hf download hf://spaces/GroupSix/bridge/app.py
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curl -L -o app.py https://huggingface.co/spaces/GroupSix/bridge/resolve/main/app.py
2.41 kB
| import gradio as gr | |
| from PIL import Image | |
| import hopsworks | |
| # IDE Help | |
| from hopsworks.core.dataset_api import DatasetApi | |
| # Images | |
| hopsworks_images_location = "Resources/images" | |
| hopsworks_images = { | |
| "latest_bridge": | |
| { | |
| "name": "latest_bridge/latest_bridge.png", | |
| "local_path": "" | |
| }, | |
| "actual_bridge": | |
| { | |
| "name": "latest_bridge/actual_bridge.png", | |
| "local_path": "" | |
| }, | |
| "df_recent": | |
| { | |
| "name": "latest_bridge/df_recent.png", | |
| "local_path": "" | |
| } | |
| } | |
| print("Logging in to Hopsworks...") | |
| project = hopsworks.login() | |
| print("Getting feature store...") | |
| fs = project.get_feature_store() | |
| print("Get database handler from Hopsworks...") | |
| dataset_api: DatasetApi = project.get_dataset_api() | |
| for image in hopsworks_images: | |
| print(f"Downloading {hopsworks_images[image]['name']} from Hopsworks...") | |
| hopsworks_images[image]['local_path'] = \ | |
| dataset_api.download(f"{hopsworks_images_location}/{hopsworks_images[image]['name']}", overwrite=True) | |
| print(f"Saved in: {hopsworks_images[image]['local_path']}") | |
| print("Configuring gradio...") | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| label1 = gr.Label("Last Predicted Bridge Status") | |
| image1 = gr.Image(hopsworks_images['latest_bridge']['local_path'], | |
| elem_id="predicted-bridge-img", type="pil") | |
| with gr.Column(): | |
| label2 = gr.Label("Last Actual Bridge Status") | |
| image2 = gr.Image(hopsworks_images['actual_bridge']['local_path'], | |
| elem_id="actual-bridge-img", type="pil") | |
| with gr.Row(): | |
| with gr.Column(): | |
| label3 = gr.Label("Recent Bridge Status Prediction History") | |
| image3 = gr.Image(hopsworks_images['df_recent']['local_path'], | |
| elem_id="recent-bridge-predictions", type="pil") | |
| with gr.Column(scale=2): | |
| image_credits = gr.Label( | |
| "Image Credits: Open bridge image from " | |
| "[Wikimedia Commons](https://commons.wikimedia.org/wiki/File:M%C3%A4larbron_juni_2017f.jpg), " | |
| "Closed bridge image from " | |
| "[Wikimedia Commons](https://commons.wikimedia.org/wiki/File:M%C3%A4larbron_juni_2017e.jpg)") | |
| print("Launching gradio...") | |
| demo.launch(debug=True) | |