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app.py

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+import gradio as gr
+import hopsworks
+from PIL import Image
+
+# Connect to Hopsworks
+project = hopsworks.login()
+fs = project.get_feature_store()
+dataset_api = project.get_dataset_api()
+
+# List of features:
+feat = ['temperature_2m', 'apparent_temperature', 'rain', 'snowfall', 'surface_pressure', 'cloud_cover',
+        'wind_speed_10m', 'wind_direction_10m']
+
+
+def refresh_images():
+    """Function to download the latest images from the hopsworks database."""
+    # Download all the images
+    for feature in feat:
+        dataset_api.download('Resources/predictions' +'/pred_' + feature + '.png', overwrite=True)
+        dataset_api.download('Resources/predictions' + '/prev_' + feature + '.png', overwrite=True)
+
+    images = []
+
+    for feature in feat:
+        images.append(Image.open('pred_' + feature + '.png'))
+        images.append(Image.open('prev_' + feature + '.png'))
+
+    return images
+
+css = """
+h1 {
+    text-align: center;
+    display:block;
+}
+
+p {
+    text-align: center;
+    display:block;
+}
+"""
+
+with gr.Blocks(css=css) as demo:
+    gr.Markdown('<h1>Weather prediction service </h1>'
+                '<p>These graphs shows the latest weather predictions of our model. This includes various features '
+                'such as temperature, pressure, rain and so on. These predictions are based on the latest data '
+                'from our dataset, which is updated every day with two day old data. The predictions are based '
+                'on the weather data from stockholm specifically and the model predictions are unfortunately already '
+                'outdated by the time they are made, due to the delay in data updates of our database. </p>'
+                '<p>Press the update button to get the latest prediction and the performance of our last predictions '
+                'using our model. The performance degrade severely after one day and as such this interval'
+                'is kept for predictions. </p>')
+
+    # Create a refresh button to download the newest data
+    with gr.Row():
+        gr.Column()
+        with gr.Column():
+            ref_btn = gr.Button('Refresh')
+        gr.Column()
+
+    # Create a tab for the newest predictions (in our case 2 days old...) and for old prediction and the performance
+    with gr.Tabs():
+        with gr.TabItem('Latest weather prediction'):
+        # Create rows with two figures each
+            with gr.Row():
+                with gr.Column():
+                    temp = gr.Image(label='Temperature (°C)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    app_temp = gr.Image(label='Apparent temperature (°C)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    rain = gr.Image(label='Rain (mm)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    snow = gr.Image(label='snowfall (cm)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    press = gr.Image(label='Surface pressure (hPa)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    cloud = gr.Image(label='cloud_cover (%)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    speed = gr.Image(label='Wind speed (km/h)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    direction = gr.Image(label='Wind direction (°)', show_download_button=True, interactive=False)
+
+        with gr.TabItem('Previous prediction performance'):
+            with gr.Row():
+                with gr.Column():
+                    ptemp = gr.Image(label=r'Temperature (°C)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    papp_temp = gr.Image(label='Apparent temperature (°C)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    prain = gr.Image(label='Rain (mm)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    psnow = gr.Image(label='snowfall (cm)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    ppress = gr.Image(label='Surface pressure (hPa)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    pcloud = gr.Image(label='cloud_cover (%)', show_download_button=True, interactive=False)
+            with gr.Row():
+                with gr.Column():
+                    pspeed = gr.Image(label='Wind speed (km/h)', show_download_button=True, interactive=False)
+                with gr.Column():
+                    pdirection = gr.Image(label='Wind direction (°)', show_download_button=True, interactive=False)
+
+    # On button click update all images:
+    ref_btn.click(refresh_images, inputs=None, outputs=[temp, ptemp, app_temp, papp_temp, rain, prain, snow, psnow,
+                                                        press, ppress, cloud, pcloud, speed, pspeed, direction, pdirection])
+
+demo.launch()

requirements.txt

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+gradio
+hopsworks