Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from PIL import Image
+import hopsworks
+
+project = hopsworks.login(project="ID2223_L2")
+fs = project.get_feature_store()
+
+predictions_fg = fs.get_feature_group(name="weather_predictions", version=1)
+query = predictions_fg.select_all()
+predictions_df = query.read(read_options={"use_hive": True})
+
+predictions_df = predictions_df.sort_values(by=["timestamp_local"])
+
+dataset_api = project.get_dataset_api()
+
+dataset_api.download("Resources/weather/last_prediction.txt")
+dataset_api.download("Resources/weather/prediction_graph.png")
+
+def latest_prediction(path):
+   f = open(path,"r")
+   date = f.readline()
+   temp = f.readline()
+   f.close()
+
+   return "Prediction at time   : "+date+"\n\nPredicted temperature:"+temp
+
+with gr.Blocks() as demo:
+    with gr.Row():
+      with gr.Column():
+          gr.Label("Latest Predicted Forecast")
+          gr.Markdown(latest_prediction("last_prediction.txt"))
+      with gr.Column():          
+          gr.Label("Graph of Recent Predictions")      
+          input_img = gr.Image("prediction_graph.png", elem_id="temperature-graph")
+    with gr.Row():
+      with gr.Column():
+          gr.Label("Recent Prediction History")
+          gr.DataFrame(predictions_df.tail(4))    
+
+demo.launch()