freemt commited on
Commit
a1b70da
1 Parent(s): 891b83b

enable_queue moved to gr.interface rather than in launch

Browse files
img/plt.png CHANGED
radiobee/__main__.py CHANGED
@@ -17,6 +17,7 @@ from sklearn.cluster import DBSCAN # noqa
17
 
18
  import joblib
19
  from varname import nameof
 
20
  import logzero
21
  from logzero import logger
22
 
@@ -39,6 +40,11 @@ import gradio as gr
39
  from radiobee.process_upload import process_upload
40
  from radiobee.gradiobee import gradiobee
41
 
 
 
 
 
 
42
  sns.set()
43
  sns.set_style("darkgrid")
44
  fastlid.set_languages = ["en", "zh"]
@@ -237,7 +243,6 @@ if __name__ == "__main__":
237
  [
238
  "data/test-dual.txt",
239
  "data/empty.txt",
240
- # None, # does not work
241
  "linear",
242
  "None",
243
  "None",
@@ -248,7 +253,6 @@ if __name__ == "__main__":
248
  [
249
  "data/test-zh-ja.txt",
250
  "data/empty.txt",
251
- # None, # does not work
252
  "linear",
253
  "None",
254
  "None",
@@ -423,6 +427,7 @@ if __name__ == "__main__":
423
  "excelsior",
424
  ], # "paragon"],
425
  css=f"{css_image} {css_input_file} {css_output_file}",
 
426
  )
427
 
428
  iface.launch(
@@ -433,7 +438,7 @@ if __name__ == "__main__":
433
  # server_name="127.0.0.1",
434
  server_port=server_port,
435
  # show_tips=True,
436
- enable_queue=True,
437
  # height=150, # 500
438
  width=900, # 900
439
  )
 
17
 
18
  import joblib
19
  from varname import nameof
20
+ from icecream import install as ic_install, ic
21
  import logzero
22
  from logzero import logger
23
 
 
40
  from radiobee.process_upload import process_upload
41
  from radiobee.gradiobee import gradiobee
42
 
43
+ ic_install()
44
+ ic.configureOutput(includeContext=True)
45
+ ic.enable()
46
+ # ic.disenable() # to turn off
47
+
48
  sns.set()
49
  sns.set_style("darkgrid")
50
  fastlid.set_languages = ["en", "zh"]
 
243
  [
244
  "data/test-dual.txt",
245
  "data/empty.txt",
 
246
  "linear",
247
  "None",
248
  "None",
 
253
  [
254
  "data/test-zh-ja.txt",
255
  "data/empty.txt",
 
256
  "linear",
257
  "None",
258
  "None",
 
427
  "excelsior",
428
  ], # "paragon"],
429
  css=f"{css_image} {css_input_file} {css_output_file}",
430
+ enable_queue=True,
431
  )
432
 
433
  iface.launch(
 
438
  # server_name="127.0.0.1",
439
  server_port=server_port,
440
  # show_tips=True,
441
+ # enable_queue=True,
442
  # height=150, # 500
443
  width=900, # 900
444
  )
radiobee/gradiobee.py CHANGED
@@ -7,9 +7,10 @@ from itertools import zip_longest
7
 
8
  # import tempfile
9
 
10
- from logzero import logger
11
  from sklearn.cluster import DBSCAN
12
  from fastlid import fastlid
 
 
13
 
14
  import numpy as np
15
  import pandas as pd
@@ -304,6 +305,7 @@ def gradiobee(
304
  ylim, xlim = len1, len2
305
 
306
  # does not seem to show up
 
307
  logger.debug(" len1 (ylim): %s, len2 (xlim): %s", len1, len2)
308
  if debug:
309
  print(f" len1 (ylim): {len1}, len2 (xlim): {len2}")
@@ -360,6 +362,7 @@ def gradiobee(
360
  )
361
 
362
  plt_loc = "img/plt.png"
 
363
  plt.savefig(plt_loc)
364
 
365
  # clustered
@@ -381,6 +384,8 @@ def gradiobee(
381
  df_aligned = df_aligned[["text2", "text1", "likelihood"]]
382
  df_aligned.columns = ["text1", "text2", "likelihood"]
383
 
 
 
384
  # round the last column to 2
385
  # df_aligned.likelihood = df_aligned.likelihood.round(2)
386
  # df_aligned = df_aligned.round({"likelihood": 2})
@@ -430,6 +435,9 @@ def gradiobee(
430
  # output_plot: gr.outputs.Image(type="auto", label="...")
431
  # return df_trimmed, output_plot, file_dl, file_dl_xlsx, df_aligned
432
  # return df_trimmed, output_plot, file_dl, file_dl_xlsx, styled, df_html # gradio cant handle style
 
 
 
433
  return df_trimmed, output_plot, file_dl, file_dl_xlsx, df_aligned, df_html
434
 
435
  # modi outputs
 
7
 
8
  # import tempfile
9
 
 
10
  from sklearn.cluster import DBSCAN
11
  from fastlid import fastlid
12
+ from logzero import logger
13
+ from icecream import ic
14
 
15
  import numpy as np
16
  import pandas as pd
 
305
  ylim, xlim = len1, len2
306
 
307
  # does not seem to show up
308
+ ic(f" len1 (ylim): {len1}, len2 (xlim): {len2}")
309
  logger.debug(" len1 (ylim): %s, len2 (xlim): %s", len1, len2)
310
  if debug:
311
  print(f" len1 (ylim): {len1}, len2 (xlim): {len2}")
 
362
  )
363
 
364
  plt_loc = "img/plt.png"
365
+ ic(f" plotting to {plt_loc}")
366
  plt.savefig(plt_loc)
367
 
368
  # clustered
 
384
  df_aligned = df_aligned[["text2", "text1", "likelihood"]]
385
  df_aligned.columns = ["text1", "text2", "likelihood"]
386
 
387
+ ic(df_aligned.head())
388
+
389
  # round the last column to 2
390
  # df_aligned.likelihood = df_aligned.likelihood.round(2)
391
  # df_aligned = df_aligned.round({"likelihood": 2})
 
435
  # output_plot: gr.outputs.Image(type="auto", label="...")
436
  # return df_trimmed, output_plot, file_dl, file_dl_xlsx, df_aligned
437
  # return df_trimmed, output_plot, file_dl, file_dl_xlsx, styled, df_html # gradio cant handle style
438
+
439
+ ic("returning outputs")
440
+
441
  return df_trimmed, output_plot, file_dl, file_dl_xlsx, df_aligned, df_html
442
 
443
  # modi outputs
requirements.in ADDED
File without changes
requirements.txt CHANGED
@@ -23,4 +23,5 @@ pyicu
23
  pycld2
24
  tqdm
25
  polyglot
26
- sentence_splitter
 
 
23
  pycld2
24
  tqdm
25
  polyglot
26
+ sentence_splitter
27
+ icecream