add app

app.py

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+import gradio as gr
+from PIL import Image
+import hopsworks
+import datetime 
+
+project = hopsworks.login()
+fs = project.get_feature_store()
+air_fg = fs.get_or_create_feature_group(name="air_quality_predictions",
+                                            version=2,
+                                            primary_key=["date"],
+                                            description="Air quality predictions"
+                                            )
+
+air_fg = air_fg.show(20).sort_values('date', ignore_index=True)
+prediction = air_fg.iloc[-1]['pred_aqi']
+date = air_fg.iloc[-1]['date']
+date_str = datetime.date.fromtimestamp(date//1000).strftime("%Y-%m-%d")
+
+
+with gr.Blocks() as demo:
+    
+    if prediction == 0 or prediction <= 50 :
+        img_string =  "aqi_green.png"
+    elif prediction > 50 or prediction <= 100:
+        img_string= "aqi_yellow.png"
+    elif prediction > 100 or prediction <= 150:
+        img_string= "aqi_red.png"
+    elif prediction > 150 or prediction <= 200:
+        img_string= "aqi_purple.png"
+    else:
+        img_string= "aqi_black.png"    
+        
+    with gr.Row():
+      with gr.Column():
+          gr.Label(f"Predicted AQI for {date_str} in Madrid is {prediction}") 
+          input_img = gr.Image("images/" + img_string, elem_id="predicted-img")            
+
+demo.launch()
+
+
+

requirements.txt

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+hopsworks