fpessanha commited on
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def4405
·
1 Parent(s): 63fb484

Feat: Restrict participant ids

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  1. app.py +48 -34
  2. files_to_annotate_padded_smaller_emotion_set/002/002-0035.wav +0 -3
  3. files_to_annotate_padded_smaller_emotion_set/002/002-0057.wav +0 -0
  4. files_to_annotate_padded_smaller_emotion_set/002/002-0061.wav +0 -3
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  7. files_to_annotate_padded_smaller_emotion_set/002/002-0080.wav +0 -3
  8. files_to_annotate_padded_smaller_emotion_set/002/002-0081.wav +0 -3
  9. files_to_annotate_padded_smaller_emotion_set/002/002-0107.wav +0 -3
  10. files_to_annotate_padded_smaller_emotion_set/002/002-0152.wav +0 -3
  11. files_to_annotate_padded_smaller_emotion_set/002/002-0155.wav +0 -3
  12. files_to_annotate_padded_smaller_emotion_set/002/002-0165.wav +0 -3
  13. files_to_annotate_padded_smaller_emotion_set/002/002-0196.wav +0 -3
  14. files_to_annotate_padded_smaller_emotion_set/002/002-0197.wav +0 -3
  15. files_to_annotate_padded_smaller_emotion_set/002/002-0210.wav +0 -3
  16. files_to_annotate_padded_smaller_emotion_set/002/002-0227.wav +0 -3
  17. files_to_annotate_padded_smaller_emotion_set/002/002-0237.wav +0 -3
  18. files_to_annotate_padded_smaller_emotion_set/002/002-0256.wav +0 -3
  19. files_to_annotate_padded_smaller_emotion_set/002/002-0257.wav +0 -3
  20. files_to_annotate_padded_smaller_emotion_set/002/002-0261.wav +0 -3
  21. files_to_annotate_padded_smaller_emotion_set/002/002-0320.wav +0 -3
  22. files_to_annotate_padded_smaller_emotion_set/002/002-0346.wav +0 -3
  23. files_to_annotate_padded_smaller_emotion_set/002/002-0378.wav +0 -0
  24. files_to_annotate_padded_smaller_emotion_set/002/002-0417.wav +0 -3
  25. files_to_annotate_padded_smaller_emotion_set/002/002-0418.wav +0 -3
  26. files_to_annotate_padded_smaller_emotion_set/002/002-0419.wav +0 -3
  27. files_to_annotate_padded_smaller_emotion_set/002/002-0424.wav +0 -3
  28. files_to_annotate_padded_smaller_emotion_set/002/002-0431.wav +0 -3
  29. files_to_annotate_padded_smaller_emotion_set/002/002-0448.wav +0 -3
  30. files_to_annotate_padded_smaller_emotion_set/002/002-0464.wav +0 -3
  31. files_to_annotate_padded_smaller_emotion_set/002/002-0468.wav +0 -0
  32. files_to_annotate_padded_smaller_emotion_set/002/002-0485.wav +0 -0
  33. files_to_annotate_padded_smaller_emotion_set/002/002-0503.wav +0 -0
  34. files_to_annotate_padded_smaller_emotion_set/002/002-0504.wav +0 -3
  35. files_to_annotate_padded_smaller_emotion_set/002/002-0513.wav +0 -3
  36. files_to_annotate_padded_smaller_emotion_set/002/002-0522.wav +0 -3
  37. files_to_annotate_padded_smaller_emotion_set/002/002-0526.wav +0 -3
  38. files_to_annotate_padded_smaller_emotion_set/002/002-0530.wav +0 -3
  39. files_to_annotate_padded_smaller_emotion_set/002/002-0562.wav +0 -3
  40. files_to_annotate_padded_smaller_emotion_set/002/002-0573.wav +0 -3
  41. files_to_annotate_padded_smaller_emotion_set/002/002-0581.wav +0 -3
  42. files_to_annotate_padded_smaller_emotion_set/002/002-0589.wav +0 -3
  43. files_to_annotate_padded_smaller_emotion_set/002/002-0598.wav +0 -3
  44. files_to_annotate_padded_smaller_emotion_set/002/002-0603.wav +0 -3
  45. files_to_annotate_padded_smaller_emotion_set/002/002-0610.wav +0 -3
  46. files_to_annotate_padded_smaller_emotion_set/002/002-0611.wav +0 -3
  47. files_to_annotate_padded_smaller_emotion_set/002/002-0615.wav +0 -3
  48. files_to_annotate_padded_smaller_emotion_set/002/002-0624.wav +0 -3
  49. files_to_annotate_padded_smaller_emotion_set/002/002-0645.wav +0 -3
  50. files_to_annotate_padded_smaller_emotion_set/002/002-0646.wav +0 -3
app.py CHANGED
@@ -210,13 +210,19 @@ side_bar_html = """
210
 
211
  persistent_storage = Path('/data')
212
  # List of all audio files to annotate
213
- file_list = pd.read_excel(os.path.join('combined_annotations.xlsx'))
214
- total_annotations = len(file_list)
215
  # Initialize an empty DataFrame to store annotations
216
  annotations = pd.DataFrame(columns=['sample_id', 'sentence', 'emotion', 'confidence', 'comments'])
217
  current_index = {"index": 0} # Dictionary to allow modifying inside functions
218
  password_files = os.getenv("password_files")
219
 
 
 
 
 
 
 
220
 
221
  def get_storage(password):
222
  #source: https://discuss.huggingface.co/t/accessing-data-folder-of-persistent-storage/46681/2
@@ -238,11 +244,10 @@ def get_storage(password):
238
  return files, f"{usage/(1024.0 ** 3):.3f}GB"
239
 
240
 
241
- def load_first_example(index, participant_id, ann_completed):
242
  """ Loads and first example and updates index"""
243
  global annotations
244
  global current_index
245
-
246
  path_ann = f'{persistent_storage}/{participant_id}_annotations.csv'
247
  print(path_ann)
248
  if os.path.exists(path_ann):
@@ -255,18 +260,18 @@ def load_first_example(index, participant_id, ann_completed):
255
  ann_completed = gr.Number(len(annotations) - 1, visible=False)
256
  print(len(annotations))
257
  return ann_completed, *load_example(current_index["index"])
258
-
259
  def load_example(index):
260
  """Loads the example in row #index from dataframe file_list.
261
  If there are any annotations it will give those values to the annotation dataframe"""
262
 
263
  row = file_list.iloc[index]
264
- audio_path = os.path.join('files_to_annotate_padded_smaller_emotion_set', row["SAMPLE ID"].split('-')[0], row["SAMPLE ID"] + '.wav')
265
- sentence = row["SENTENCE"]
266
 
267
  # If the user already made an annotation for this example, gradio will return said annotation
268
  previous_annotation = (
269
- annotations.iloc[index].to_dict() if index < len(annotations) else {"sample_id": row["SAMPLE ID"], "emotion": 'Blank', "confidence": 0,
270
  "comments": ''}
271
  )
272
  print(previous_annotation)
@@ -278,8 +283,8 @@ def save_annotation(emotions, confidence, comments, participant_id, ann_complete
278
 
279
  idx = current_index["index"]
280
  row = file_list.iloc[idx]
281
- sample_id = row["SAMPLE ID"]
282
- sentence = row["SENTENCE"]
283
 
284
  # Update or append annotation
285
  if sample_id in annotations["sample_id"].values:
@@ -307,27 +312,38 @@ def next_example(emotions, confidence, comments, participant_id, ann_completed):
307
  def previous_example(emotion, confidence, comments, participant_id, ann_completed):
308
  """Move to the previous example."""
309
  global current_index
310
- if emotion.value != "Blank":
311
  ann_completed = save_annotation(emotion, confidence, comments, participant_id, ann_completed)
312
- if current_index["index"] > 0:
313
- current_index["index"] -= 1
314
- return load_example(current_index["index"])
315
- return load_example(current_index["index"])
316
 
317
- def deactivate_participant_id(participant_id, lets_go):
318
- participant_id = gr.Textbox(label='What is your participant ID?', value = participant_id, interactive = False)
319
- lets_go = gr.Button("Participant selected!", interactive = False)
320
- return participant_id, lets_go
 
321
 
322
- def activate_elements(emotions, confidence, comments, next_button, previous_button):
 
 
 
 
323
 
324
- emotions = gr.Radio(["Blank", "Joy", "Sad", "Angry", "Neutral"], label="Predominant Emotion", value = "Blank", visible = True)
325
- confidence = gr.Slider(label="How confident are you that the annotated emotion is present in the recording? (%)", minimum=0, maximum=100, step=10, visible = True)
326
- comments = gr.Textbox(label="Comments", visible =True)
327
- previous_button = gr.Button("Previous Example", visible = True)
328
- next_button = gr.Button("Next Example",visible = True)
329
 
330
- return emotions, confidence, comments, next_button, previous_button
 
 
 
 
 
 
 
 
 
 
 
331
  # ===================
332
  # Gradio Interface
333
  # ===================
@@ -367,7 +383,7 @@ with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
367
 
368
  with gr.Tab("Annotation Interface"):
369
  ann_completed = gr.Number(0, visible=False)
370
- total = gr.Number(total_annotations, visible=False)
371
  # Row with progress bar
372
 
373
  gr.HTML("""
@@ -416,13 +432,11 @@ with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
416
  inputs=[emotions, confidence, comments, participant_id, ann_completed],
417
  outputs=[sentence_text, audio_player, emotions, confidence, ann_completed, comments],
418
  ).then(None, [], [ann_completed, total], js = js_progress_bar)
419
-
420
-
421
 
422
- lets_go.click(deactivate_participant_id, [participant_id, lets_go], [participant_id, lets_go])
423
- lets_go.click(activate_elements, [emotions, confidence, comments, next_button, previous_button], [emotions, confidence, comments, next_button, previous_button])
424
- lets_go.click(load_first_example, inputs = [gr.Number(current_index["index"], visible = False), participant_id, ann_completed], outputs = [ann_completed, sentence_text, audio_player, emotions, confidence, ann_completed, comments]).then( None, [], [ann_completed, total], js = js_progress_bar)
425
- #lets_go.click(None, [], [ann_completed, total], js = js_progress_bar)
426
 
427
  with gr.Tab("Access Files"):
428
  with gr.Row():
@@ -436,5 +450,5 @@ with (gr.Blocks(theme=gr.themes.Soft(), css = css) as demo):
436
  get_files_button.click(get_storage, inputs= [password], outputs=[files, storage], postprocess=False)
437
 
438
 
439
- demo.launch()
440
 
 
210
 
211
  persistent_storage = Path('/data')
212
  # List of all audio files to annotate
213
+ global file_list
214
+ global total_annotations
215
  # Initialize an empty DataFrame to store annotations
216
  annotations = pd.DataFrame(columns=['sample_id', 'sentence', 'emotion', 'confidence', 'comments'])
217
  current_index = {"index": 0} # Dictionary to allow modifying inside functions
218
  password_files = os.getenv("password_files")
219
 
220
+ possible_ids = {'Tiger-001': 0, 'Panda-002': 0,
221
+ 'Falcon-003': 1, 'Wolf-004': 1,
222
+ 'Dolphin-005': 2, 'Eagle-006': 2,
223
+ 'Jaguar-007': 3, 'Rhino-008': 3,
224
+ 'Zebra-009': 4, 'Lion-010': 4,
225
+ 'Cheetah-011': 5, 'Bear-012': 5}
226
 
227
  def get_storage(password):
228
  #source: https://discuss.huggingface.co/t/accessing-data-folder-of-persistent-storage/46681/2
 
244
  return files, f"{usage/(1024.0 ** 3):.3f}GB"
245
 
246
 
247
+ def load_first_example(participant_id, ann_completed):
248
  """ Loads and first example and updates index"""
249
  global annotations
250
  global current_index
 
251
  path_ann = f'{persistent_storage}/{participant_id}_annotations.csv'
252
  print(path_ann)
253
  if os.path.exists(path_ann):
 
260
  ann_completed = gr.Number(len(annotations) - 1, visible=False)
261
  print(len(annotations))
262
  return ann_completed, *load_example(current_index["index"])
263
+
264
  def load_example(index):
265
  """Loads the example in row #index from dataframe file_list.
266
  If there are any annotations it will give those values to the annotation dataframe"""
267
 
268
  row = file_list.iloc[index]
269
+ audio_path = os.path.join(persistent_storage, 'files_to_annotate_2round', row["sample_id"].split('-')[0], row["sample_id"] + '.wav')
270
+ sentence = row["sentence"]
271
 
272
  # If the user already made an annotation for this example, gradio will return said annotation
273
  previous_annotation = (
274
+ annotations.iloc[index].to_dict() if index < len(annotations) else {"sample_id": row["sample_id"], "emotion": 'Blank', "confidence": 0,
275
  "comments": ''}
276
  )
277
  print(previous_annotation)
 
283
 
284
  idx = current_index["index"]
285
  row = file_list.iloc[idx]
286
+ sample_id = row["sample_id"]
287
+ sentence = row["sentence"]
288
 
289
  # Update or append annotation
290
  if sample_id in annotations["sample_id"].values:
 
312
  def previous_example(emotion, confidence, comments, participant_id, ann_completed):
313
  """Move to the previous example."""
314
  global current_index
315
+ if emotion != "Blank":
316
  ann_completed = save_annotation(emotion, confidence, comments, participant_id, ann_completed)
317
+ if current_index["index"] > 0:
318
+ current_index["index"] -= 1
319
+
320
+ return load_example(current_index["index"])
321
 
322
+ def deactivate_participant_id(participant_id, lets_go, total, previous_button, next_button, sentence_text, audio_player, emotions, confidence, comments, ann_completed):
323
+ global file_list
324
+ global total_annotations
325
+ if participant_id in possible_ids.keys():
326
+ file_list = pd.read_csv(os.path.join(persistent_storage, 'files_to_annotate_2round', f'group_{possible_ids[participant_id]}.csv'))
327
 
328
+ participant_id = gr.Textbox(label='What is your participant ID?', value = participant_id, interactive = False)
329
+ lets_go = gr.Button("Participant selected!", interactive = False)
330
+
331
+ total_annotations = len(file_list)
332
+ total = gr.Number(total_annotations, visible=False)
333
 
 
 
 
 
 
334
 
335
+ ann_completed, sentence, audio_player, emotions, confidence, current_index['index'], comments = load_first_example(participant_id, ann_completed)
336
+
337
+ emotions = gr.Radio(["Blank", "Joy", "Sad", "Angry", "Neutral"], label="Predominant Emotion", value = emotions, visible = True)
338
+ confidence = gr.Slider(label="How confident are you that the annotated emotion is present in the recording? (%)", minimum=0, maximum=100, step=10, visible = True, value = confidence)
339
+ comments = gr.Textbox(label="Comments", visible =True, value = comments)
340
+ previous_button = gr.Button("Previous Example", visible = True)
341
+ next_button = gr.Button("Next Example",visible = True)
342
+
343
+ else:
344
+ gr.Warning("Please insert a valid participant ID")
345
+ return participant_id, lets_go, total, previous_button, next_button, sentence_text, audio_player, emotions, confidence, comments, ann_completed
346
+
347
  # ===================
348
  # Gradio Interface
349
  # ===================
 
383
 
384
  with gr.Tab("Annotation Interface"):
385
  ann_completed = gr.Number(0, visible=False)
386
+ total = gr.Number(0, visible=False)
387
  # Row with progress bar
388
 
389
  gr.HTML("""
 
432
  inputs=[emotions, confidence, comments, participant_id, ann_completed],
433
  outputs=[sentence_text, audio_player, emotions, confidence, ann_completed, comments],
434
  ).then(None, [], [ann_completed, total], js = js_progress_bar)
 
 
435
 
436
+ buttons = [previous_button, next_button]
437
+ data = [sentence_text, audio_player, emotions, confidence, comments]
438
+ lets_go.click(deactivate_participant_id, [participant_id, lets_go, total, *buttons, *data, ann_completed], [participant_id, lets_go, total, *buttons, *data, ann_completed]).then( None, [], [ann_completed, total], js = js_progress_bar)
439
+
440
 
441
  with gr.Tab("Access Files"):
442
  with gr.Row():
 
450
  get_files_button.click(get_storage, inputs= [password], outputs=[files, storage], postprocess=False)
451
 
452
 
453
+ demo.launch(allowed_paths = ['/data/files_to_annotate_2round'])
454
 
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