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app.py

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+import gradio as gr
+import numpy as np
+from PIL import Image
+import requests
+import matplotlib.pyplot as plt
+import hopsworks
+import joblib
+import pandas as pd
+
+# Connect to Hopsworks
+project = hopsworks.login(project="finetune")
+fs = project.get_feature_store()
+dataset_api = project.get_dataset_api()
+    
+def show_reloaded_images():
+    '''
+    Show new images.
+    '''
+    # download emoticons
+    for day in range(1,7):
+      img = f'Resources/img_prediction/{day}.png'
+      dataset_api.download(img, overwrite=True)
+    # download snow prediction forecast
+    dataset_api.download("Resources/img_prediction/plot.png", overwrite=True)
+    # optput images
+    plot_pred = Image.open("plot.png")
+    img1 = Image.open("1.png")
+    img2 = Image.open("2.png")
+    img3 = Image.open("3.png")
+    img4 = Image.open("4.png")
+    img5 = Image.open("5.png")
+    img6 = Image.open("6.png")
+    output = [plot_pred, img1, img2, img3, img4, img5, img6]
+  
+    return output
+
+def show_history():
+    '''
+    Get history of predictions.
+    '''
+    dataset_api.download("Resources/img_prediction/plot_history.png", overwrite=True)
+    plot_hist = Image.open("plot_history.png")
+    
+    return plot_hist
+
+with gr.Blocks() as demo:
+    with gr.Tabs():
+        with gr.TabItem("Snow prediction"):
+            with gr.Row():  
+                btn = gr.Button("New prediction").style(full_width=True)
+            with gr.Row():
+                plot_pred = gr.Image(label="Predicted snow height").style(height=500) # plotted graph
+            with gr.Row():
+                #input_img1 = gr.Image("1.png", elem_id="Day 1")
+                img1 = gr.Image()
+                img2 = gr.Image()
+                img3 = gr.Image()
+                img4 = gr.Image()
+                img5 = gr.Image()
+                img6 = gr.Image()
+              
+        with gr.TabItem("Accuracy of past 10 days"):
+            with gr.Row():
+                btn2 = gr.Button("Get history").style(full_width=True)
+            with gr.Row():
+                pred_hist = gr.Image(label="Past 10 days of predictions").style(height=500)
+      
+    btn.click(show_reloaded_images, 
+    inputs=None, 
+    outputs=[plot_pred, img1, img2, img3, img4, img5, img6])
+    
+    btn2.click(show_history,
+    inputs=None,
+    outputs=pred_hist)
+
+demo.launch()

requirements.txt

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+hopsworks
+joblib
+scikit-learn