scheduler erased

app.py

@@ -12,16 +12,15 @@ import gradio as gr
 import pandas as pd
 
 # Translation of legends and titels
-ANNOTATED = 'Anotaciones'
-NUMBER_ANNOTATED = 'Anotaciones totales'
-PENDING = 'Pendiente'
+ANNOTATED = "Anotaciones"
+NUMBER_ANNOTATED = "Anotaciones totales"
+PENDING = "Pendiente"
 
 NUMBER_ANNOTATORS = "Número de anotadores"
-NAME = 'Nombre de usuario'
-NUMBER_ANNOTATIONS = 'Número de anotaciones'
-
-CATEGORY = 'Categoría'
+NAME = "Nombre de usuario"
+NUMBER_ANNOTATIONS = "Número de anotaciones"
 
+CATEGORY = "Categoría"
 
 
 def obtain_source_target_datasets() -> (
@@ -175,9 +174,7 @@ def kpi_chart_total_annotators() -> alt.Chart:
     total_annotators = len(user_ids_annotations)
 
     # Assuming you have a DataFrame with user data, create a sample DataFrame
-    data = pd.DataFrame(
-        {"Category": [NUMBER_ANNOTATORS], "Value": [total_annotators]}
-    )
+    data = pd.DataFrame({"Category": [NUMBER_ANNOTATORS], "Value": [total_annotators]})
 
     # Create Altair chart
     chart = (
@@ -190,14 +187,14 @@ def kpi_chart_total_annotators() -> alt.Chart:
     return chart
 
 
-def render_hub_user_link(hub_id:str) -> str:
+def render_hub_user_link(hub_id: str) -> str:
     """
     This function returns a link to the user's profile on Hugging Face.
 
     Args:
         hub_id: The user's id on Hugging Face.
 
-    Returns:    
+    Returns:
         A string with the link to the user's profile on Hugging Face.
     """
     link = f"https://huggingface.co/{hub_id}"
@@ -244,7 +241,7 @@ def fetch_data() -> None:
     print(f"Data fetched: {datetime.datetime.now()}")
 
 
-def get_top(N = 50) -> pd.DataFrame:
+def get_top(N=50) -> pd.DataFrame:
     """
     This function returns the top N users with the most annotations.
 
@@ -260,10 +257,6 @@ def get_top(N = 50) -> pd.DataFrame:
 
 def main() -> None:
 
-    # Set the update interval
-    update_interval = 300  # seconds
-    update_interval_charts = 30  # seconds
-
     # Connect to the space with rg.init()
     rg.init(
         api_url=os.getenv("ARGILLA_API_URL"),
@@ -272,7 +265,6 @@ def main() -> None:
 
     fetch_data()
 
-
     # To avoid the orange border for the Gradio elements that are in constant loading
     css = """
     .generating {
@@ -308,28 +300,13 @@ def main() -> None:
         with gr.Row():
 
             kpi_submitted_plot = gr.Plot(label="Plot")
-            demo.load(
-                kpi_chart_submitted,
-                inputs=[],
-                outputs=[kpi_submitted_plot],
-                every=update_interval_charts,
-            )
+            demo.load(kpi_chart_submitted, inputs=[], outputs=[kpi_submitted_plot])
 
             kpi_remaining_plot = gr.Plot(label="Plot")
-            demo.load(
-                kpi_chart_remaining,
-                inputs=[],
-                outputs=[kpi_remaining_plot],
-                every=update_interval_charts,
-            )
+            demo.load(kpi_chart_remaining, inputs=[], outputs=[kpi_remaining_plot])
 
             donut_total_plot = gr.Plot(label="Plot")
-            demo.load(
-                donut_chart_total,
-                inputs=[],
-                outputs=[donut_total_plot],
-                every=update_interval_charts,
-            )
+            demo.load(donut_chart_total, inputs=[], outputs=[donut_total_plot])
 
         gr.Markdown(
             """
@@ -341,9 +318,7 @@ def main() -> None:
         with gr.Row():
 
             kpi_hall_plot = gr.Plot(label="Plot")
-            demo.load(
-                kpi_chart_total_annotators, inputs=[], outputs=[kpi_hall_plot], every=update_interval_charts
-            )
+            demo.load(kpi_chart_total_annotators, inputs=[], outputs=[kpi_hall_plot])
 
             top_df_plot = gr.Dataframe(
                 headers=[NAME, NUMBER_ANNOTATIONS],
@@ -354,13 +329,12 @@ def main() -> None:
                 row_count=50,
                 col_count=(2, "fixed"),
                 interactive=False,
-                every=update_interval,
             )
-            demo.load(get_top, None, [top_df_plot], every=update_interval_charts)
+            demo.load(get_top, None, [top_df_plot])
 
     # Launch the Gradio interface
     demo.launch()
 
 
 if __name__ == "__main__":
-    main()
+    main()