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Interface_v1
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sehyun commited on
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1 Parent(s): 1f4a211

Updated date format

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Files changed (8) hide show
  1. .idea/.gitignore +8 -0
  2. .idea/Interface_v1.iml +10 -0
  3. .idea/inspectionProfiles/Project_Default.xml +258 -0
  4. .idea/inspectionProfiles/profiles_settings.xml +6 -0
  5. .idea/misc.xml +7 -0
  6. .idea/modules.xml +8 -0
  7. .idea/vcs.xml +6 -0
  8. app.py +7 -7
.idea/.gitignore ADDED
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+ # Default ignored files
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+ /shelf/
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+ /workspace.xml
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+ # Editor-based HTTP Client requests
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+ /httpRequests/
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+ # Datasource local storage ignored files
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+ /dataSources/
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+ /dataSources.local.xml
.idea/Interface_v1.iml ADDED
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+ <?xml version="1.0" encoding="UTF-8"?>
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+ <module type="PYTHON_MODULE" version="4">
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+ <component name="NewModuleRootManager">
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+ <content url="file://$MODULE_DIR$">
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+ <excludeFolder url="file://$MODULE_DIR$/.venv" />
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+ </content>
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+ <orderEntry type="jdk" jdkName="Python 3.11 (Interface_v1)" jdkType="Python SDK" />
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+ <orderEntry type="sourceFolder" forTests="false" />
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+ </component>
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+ </module>
.idea/inspectionProfiles/Project_Default.xml ADDED
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+ <component name="InspectionProjectProfileManager">
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+ </component>
6
+ <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.11 (Interface_v1)" project-jdk-type="Python SDK" />
7
+ </project>
.idea/modules.xml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0" encoding="UTF-8"?>
2
+ <project version="4">
3
+ <component name="ProjectModuleManager">
4
+ <modules>
5
+ <module fileurl="file://$PROJECT_DIR$/.idea/Interface_v1.iml" filepath="$PROJECT_DIR$/.idea/Interface_v1.iml" />
6
+ </modules>
7
+ </component>
8
+ </project>
.idea/vcs.xml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ <?xml version="1.0" encoding="UTF-8"?>
2
+ <project version="4">
3
+ <component name="VcsDirectoryMappings">
4
+ <mapping directory="" vcs="Git" />
5
+ </component>
6
+ </project>
app.py CHANGED
@@ -1,3 +1,5 @@
 
 
1
  import gradio as gr
2
  import nltk
3
  import numpy as np
@@ -58,8 +60,6 @@ xtrain_rb = standard_transformer.fit_transform(xtrain_rb)
58
  xvalid_rb = standard_transformer.transform(xvalid_rb)
59
  smote = SMOTE(sampling_strategy='minority', random_state=42)
60
 
61
- print("Before:\n", xtrain_rb.shape, ytrain_rb.shape)
62
-
63
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
64
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
65
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
@@ -74,7 +74,6 @@ predictions16 = pse_classifier.predict(xvalid_rb)
74
 
75
  transformer_embedding = TransformerDocumentEmbeddings('roberta-base')
76
 
77
-
78
  def classify(incident_description):
79
  Event_types = [
80
  "Care coordination / communication",
@@ -157,6 +156,7 @@ def classify(incident_description):
157
  return df, string_XAI
158
 
159
  def classify(incident_description):
 
160
  Event_types = [
161
  "Care coordination / communication",
162
  "Laboratory test",
@@ -411,8 +411,8 @@ with gr.Blocks(css=css, theme=theme, title=webpage_name) as Interface:
411
  # Section 1: General Event Information
412
  with gr.Accordion(label="Section 1: General Event Information", elem_classes="accordion_sec"):
413
  with gr.Column():
414
- gr.Textbox(label="1. Incident Date ✱", placeholder='DD-MM-YYYY', scale=1, elem_classes="ID_box")
415
- gr.Textbox(label="2. Incident Time ✱", placeholder="hh:mm", scale=1, elem_classes="ID_box")
416
 
417
  # with gr.Row():
418
  gr.Dropdown(label="3. Site where incident occurred ✱", choices=sites, scale=1, elem_classes="ID_box")
@@ -429,7 +429,7 @@ with gr.Blocks(css=css, theme=theme, title=webpage_name) as Interface:
429
  gr.Textbox(label="2. Last Name ✱", scale=1, elem_classes="ID_box")
430
 
431
  # with gr.Row():
432
- gr.Textbox(label="3. Date of Birth ✱", scale=1, placeholder='DD-MM-YYYY', elem_classes="ID_box")
433
  gr.Textbox(label="4. Medical Record Number ✱", scale=1, elem_classes="ID_box")
434
  #
435
 
@@ -519,4 +519,4 @@ with gr.Blocks(css=css, theme=theme, title=webpage_name) as Interface:
519
  # Need to give examples to facilitate testing examples = gr.Examples(examples=PSE_examples,
520
  # inputs=Incident_description,label="Testing examples of PSE reports", elem_id="example")
521
 
522
- Interface.launch()
 
1
+ from datetime import datetime
2
+
3
  import gradio as gr
4
  import nltk
5
  import numpy as np
 
60
  xvalid_rb = standard_transformer.transform(xvalid_rb)
61
  smote = SMOTE(sampling_strategy='minority', random_state=42)
62
 
 
 
63
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
64
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
65
  xtrain_rb, ytrain_rb = smote.fit_resample(xtrain_rb, ytrain_rb)
 
74
 
75
  transformer_embedding = TransformerDocumentEmbeddings('roberta-base')
76
 
 
77
  def classify(incident_description):
78
  Event_types = [
79
  "Care coordination / communication",
 
156
  return df, string_XAI
157
 
158
  def classify(incident_description):
159
+
160
  Event_types = [
161
  "Care coordination / communication",
162
  "Laboratory test",
 
411
  # Section 1: General Event Information
412
  with gr.Accordion(label="Section 1: General Event Information", elem_classes="accordion_sec"):
413
  with gr.Column():
414
+ gr.Textbox(label="1. Incident Date ✱", placeholder='YYYY/MM/DD', scale=1, elem_classes="ID_box")
415
+ gr.Textbox(label="2. Incident Time ✱", placeholder="00:00", scale=1, elem_classes="ID_box")
416
 
417
  # with gr.Row():
418
  gr.Dropdown(label="3. Site where incident occurred ✱", choices=sites, scale=1, elem_classes="ID_box")
 
429
  gr.Textbox(label="2. Last Name ✱", scale=1, elem_classes="ID_box")
430
 
431
  # with gr.Row():
432
+ gr.Textbox(label="3. Date of Birth ✱", scale=1, placeholder='YYYY/MM/DD', elem_classes="ID_box")
433
  gr.Textbox(label="4. Medical Record Number ✱", scale=1, elem_classes="ID_box")
434
  #
435
 
 
519
  # Need to give examples to facilitate testing examples = gr.Examples(examples=PSE_examples,
520
  # inputs=Incident_description,label="Testing examples of PSE reports", elem_id="example")
521
 
522
+ Interface.launch(share=True)