ignacioct commited on
Commit
772d2c7
1 Parent(s): ee2d8a1

scheduler erased

Browse files
Files changed (1) hide show
  1. app.py +16 -42
app.py CHANGED
@@ -12,16 +12,15 @@ import gradio as gr
12
  import pandas as pd
13
 
14
  # Translation of legends and titels
15
- ANNOTATED = 'Anotaciones'
16
- NUMBER_ANNOTATED = 'Anotaciones totales'
17
- PENDING = 'Pendiente'
18
 
19
  NUMBER_ANNOTATORS = "Número de anotadores"
20
- NAME = 'Nombre de usuario'
21
- NUMBER_ANNOTATIONS = 'Número de anotaciones'
22
-
23
- CATEGORY = 'Categoría'
24
 
 
25
 
26
 
27
  def obtain_source_target_datasets() -> (
@@ -175,9 +174,7 @@ def kpi_chart_total_annotators() -> alt.Chart:
175
  total_annotators = len(user_ids_annotations)
176
 
177
  # Assuming you have a DataFrame with user data, create a sample DataFrame
178
- data = pd.DataFrame(
179
- {"Category": [NUMBER_ANNOTATORS], "Value": [total_annotators]}
180
- )
181
 
182
  # Create Altair chart
183
  chart = (
@@ -190,14 +187,14 @@ def kpi_chart_total_annotators() -> alt.Chart:
190
  return chart
191
 
192
 
193
- def render_hub_user_link(hub_id:str) -> str:
194
  """
195
  This function returns a link to the user's profile on Hugging Face.
196
 
197
  Args:
198
  hub_id: The user's id on Hugging Face.
199
 
200
- Returns:
201
  A string with the link to the user's profile on Hugging Face.
202
  """
203
  link = f"https://huggingface.co/{hub_id}"
@@ -244,7 +241,7 @@ def fetch_data() -> None:
244
  print(f"Data fetched: {datetime.datetime.now()}")
245
 
246
 
247
- def get_top(N = 50) -> pd.DataFrame:
248
  """
249
  This function returns the top N users with the most annotations.
250
 
@@ -260,10 +257,6 @@ def get_top(N = 50) -> pd.DataFrame:
260
 
261
  def main() -> None:
262
 
263
- # Set the update interval
264
- update_interval = 300 # seconds
265
- update_interval_charts = 30 # seconds
266
-
267
  # Connect to the space with rg.init()
268
  rg.init(
269
  api_url=os.getenv("ARGILLA_API_URL"),
@@ -272,7 +265,6 @@ def main() -> None:
272
 
273
  fetch_data()
274
 
275
-
276
  # To avoid the orange border for the Gradio elements that are in constant loading
277
  css = """
278
  .generating {
@@ -308,28 +300,13 @@ def main() -> None:
308
  with gr.Row():
309
 
310
  kpi_submitted_plot = gr.Plot(label="Plot")
311
- demo.load(
312
- kpi_chart_submitted,
313
- inputs=[],
314
- outputs=[kpi_submitted_plot],
315
- every=update_interval_charts,
316
- )
317
 
318
  kpi_remaining_plot = gr.Plot(label="Plot")
319
- demo.load(
320
- kpi_chart_remaining,
321
- inputs=[],
322
- outputs=[kpi_remaining_plot],
323
- every=update_interval_charts,
324
- )
325
 
326
  donut_total_plot = gr.Plot(label="Plot")
327
- demo.load(
328
- donut_chart_total,
329
- inputs=[],
330
- outputs=[donut_total_plot],
331
- every=update_interval_charts,
332
- )
333
 
334
  gr.Markdown(
335
  """
@@ -341,9 +318,7 @@ def main() -> None:
341
  with gr.Row():
342
 
343
  kpi_hall_plot = gr.Plot(label="Plot")
344
- demo.load(
345
- kpi_chart_total_annotators, inputs=[], outputs=[kpi_hall_plot], every=update_interval_charts
346
- )
347
 
348
  top_df_plot = gr.Dataframe(
349
  headers=[NAME, NUMBER_ANNOTATIONS],
@@ -354,13 +329,12 @@ def main() -> None:
354
  row_count=50,
355
  col_count=(2, "fixed"),
356
  interactive=False,
357
- every=update_interval,
358
  )
359
- demo.load(get_top, None, [top_df_plot], every=update_interval_charts)
360
 
361
  # Launch the Gradio interface
362
  demo.launch()
363
 
364
 
365
  if __name__ == "__main__":
366
- main()
 
12
  import pandas as pd
13
 
14
  # Translation of legends and titels
15
+ ANNOTATED = "Anotaciones"
16
+ NUMBER_ANNOTATED = "Anotaciones totales"
17
+ PENDING = "Pendiente"
18
 
19
  NUMBER_ANNOTATORS = "Número de anotadores"
20
+ NAME = "Nombre de usuario"
21
+ NUMBER_ANNOTATIONS = "Número de anotaciones"
 
 
22
 
23
+ CATEGORY = "Categoría"
24
 
25
 
26
  def obtain_source_target_datasets() -> (
 
174
  total_annotators = len(user_ids_annotations)
175
 
176
  # Assuming you have a DataFrame with user data, create a sample DataFrame
177
+ data = pd.DataFrame({"Category": [NUMBER_ANNOTATORS], "Value": [total_annotators]})
 
 
178
 
179
  # Create Altair chart
180
  chart = (
 
187
  return chart
188
 
189
 
190
+ def render_hub_user_link(hub_id: str) -> str:
191
  """
192
  This function returns a link to the user's profile on Hugging Face.
193
 
194
  Args:
195
  hub_id: The user's id on Hugging Face.
196
 
197
+ Returns:
198
  A string with the link to the user's profile on Hugging Face.
199
  """
200
  link = f"https://huggingface.co/{hub_id}"
 
241
  print(f"Data fetched: {datetime.datetime.now()}")
242
 
243
 
244
+ def get_top(N=50) -> pd.DataFrame:
245
  """
246
  This function returns the top N users with the most annotations.
247
 
 
257
 
258
  def main() -> None:
259
 
 
 
 
 
260
  # Connect to the space with rg.init()
261
  rg.init(
262
  api_url=os.getenv("ARGILLA_API_URL"),
 
265
 
266
  fetch_data()
267
 
 
268
  # To avoid the orange border for the Gradio elements that are in constant loading
269
  css = """
270
  .generating {
 
300
  with gr.Row():
301
 
302
  kpi_submitted_plot = gr.Plot(label="Plot")
303
+ demo.load(kpi_chart_submitted, inputs=[], outputs=[kpi_submitted_plot])
 
 
 
 
 
304
 
305
  kpi_remaining_plot = gr.Plot(label="Plot")
306
+ demo.load(kpi_chart_remaining, inputs=[], outputs=[kpi_remaining_plot])
 
 
 
 
 
307
 
308
  donut_total_plot = gr.Plot(label="Plot")
309
+ demo.load(donut_chart_total, inputs=[], outputs=[donut_total_plot])
 
 
 
 
 
310
 
311
  gr.Markdown(
312
  """
 
318
  with gr.Row():
319
 
320
  kpi_hall_plot = gr.Plot(label="Plot")
321
+ demo.load(kpi_chart_total_annotators, inputs=[], outputs=[kpi_hall_plot])
 
 
322
 
323
  top_df_plot = gr.Dataframe(
324
  headers=[NAME, NUMBER_ANNOTATIONS],
 
329
  row_count=50,
330
  col_count=(2, "fixed"),
331
  interactive=False,
 
332
  )
333
+ demo.load(get_top, None, [top_df_plot])
334
 
335
  # Launch the Gradio interface
336
  demo.launch()
337
 
338
 
339
  if __name__ == "__main__":
340
+ main()