Summary

app.css

@@ -20,7 +20,9 @@ div.files-container {
     max-height: 350px;
 }
 
-div.files-container:hover label[data-testid="block-label"] {
+div.files-container:hover label[data-testid="block-label"],
+div.video-container:hover label[data-testid="block-label"],
+div.video-sorted-container:hover label[data-testid="block-label"] {
     display: none;
 }
 

app/authors.py

@@ -86,7 +86,7 @@ AUTHORS = """
     <img src="https://huggingface.co/spaces/ElenaRyumina/OCEANAI/resolve/main/images/AA.jpg" alt="Professor Alexey Karpov" style="margin-right: 20px; border-radius: 50%; width: 80px; height: 80px; object-fit: cover;">
     <div style="flex-basis: 40%;">
         <a href="https://hci.nw.ru/en/employees/1" style="display: inline-block;">
-            <img src="https://readme-typing-svg.demolab.com?font=Roboto&duration=1500&pause=100&color=3081F7&vCenter=true&multiline=true&width=435&height=70&lines=Dr.Sc.+Alexey+Karpov;Supervisor" alt="AlexeyKarpov" />
+            <img src="https://readme-typing-svg.demolab.com?font=Roboto&duration=1500&pause=100&color=3081F7&vCenter=true&multiline=true&width=435&height=70&lines=Dr.Sc.+Alexey+Karpov;Team+Leader" alt="AlexeyKarpov" />
         </a>
         <div style="display: flex; margin-bottom: 6px;">
             <a href="https://www.webofscience.com/wos/author/record/A-8905-2012" style="margin-right: 6px;">

app/event_handlers/calculate_practical_tasks.py

@@ -45,17 +45,20 @@ def extract_text_in_parentheses(s):
         return None
 
 
-def compare_strings(original, comparison):
+def compare_strings(original, comparison, prev=False):
     result = []
     prev_class = None
 
     for orig_char, comp_char in zip(original, comparison):
         curr_class = "true" if orig_char == comp_char else "err"
-        if curr_class != prev_class:
-            result.append("</span>" if prev_class else "")
-            result.append(f"<span class='{curr_class}'>")
-            prev_class = curr_class
-        result.append(comp_char)
+        if not prev:
+            result.append(f"<span class='{curr_class}'>{comp_char}</span>")
+        else:
+            if curr_class != prev_class:
+                result.append("</span>" if prev_class else "")
+                result.append(f"<span class='{curr_class}'>")
+                prev_class = curr_class
+            result.append(comp_char)
 
     return f"<span class='wrapper_mbti'>{''.join(result + [f'</span>' if prev_class else ''])}</span>"
 
@@ -83,7 +86,7 @@ def event_handler_calculate_practical_task_blocks(
     number_agreeableness,
     number_non_neuroticism,
 ):
-    if practical_subtasks.lower() == "sixteen myers-briggs personality type indicators":
+    if practical_subtasks.lower() == "16 personality types of mbti":
         df_correlation_coefficients = read_csv_file(config_data.Links_MBTI)
 
         pt_scores_copy = pt_scores.iloc[:, 1:].copy()
@@ -105,6 +108,15 @@ def event_handler_calculate_practical_task_blocks(
             + config_data.Settings_DROPDOWN_MBTI_DEL_COLS
         )
 
+        df_hidden.rename(
+            columns={
+                "Path": "Filename",
+                "MBTI": "Personality Type",
+                "MBTI_Score": "Personality Type Score",
+            },
+            inplace=True,
+        )
+
         df_hidden.to_csv(config_data.Filenames_MBTI_JOB)
 
         df_hidden.reset_index(inplace=True)
@@ -112,9 +124,11 @@ def event_handler_calculate_practical_task_blocks(
         person_id = int(df_hidden.iloc[0]["Person ID"]) - 1
 
         short_mbti = extract_text_in_parentheses(dropdown_mbti)
-        mbti_values = df_hidden["MBTI"].tolist()
+        mbti_values = df_hidden["Personality Type"].tolist()
 
-        df_hidden["MBTI"] = [compare_strings(short_mbti, mbti) for mbti in mbti_values]
+        df_hidden["Personality Type"] = [
+            compare_strings(short_mbti, mbti, False) for mbti in mbti_values
+        ]
 
         return (
             gr.Row(visible=True),

app/event_handlers/calculate_pt_scores_blocks.py

@@ -91,7 +91,7 @@ def event_handler_calculate_pt_scores_blocks(files, evt_data: gr.EventData):
         ),
         gr.Column(visible=True),
         dropdown_create_ui(
-            label=f"Potential candidates by Myers-Briggs Personality Type Indicators ({len(config_data.Settings_DROPDOWN_MBTI)})",
+            label=f"Potential candidates by Personality Type of MBTI ({len(config_data.Settings_DROPDOWN_MBTI)})",
             info=config_data.InformationMessages_DROPDOWN_MBTI_INFO,
             choices=config_data.Settings_DROPDOWN_MBTI,
             value=config_data.Settings_DROPDOWN_MBTI[0],

app/event_handlers/practical_subtasks.py

@@ -18,12 +18,12 @@ def event_handler_practical_subtasks(
 ):
     practical_subtasks_selected[practical_tasks] = practical_subtasks
 
-    if practical_subtasks.lower() == "sixteen myers-briggs personality type indicators":
+    if practical_subtasks.lower() == "16 personality types of mbti":
         return (
             practical_subtasks_selected,
             gr.Column(visible=True),
             dropdown_create_ui(
-                label=f"Potential candidates by Myers-Briggs Personality Type Indicators ({len(config_data.Settings_DROPDOWN_MBTI)})",
+                label=f"Potential candidates by Personality Type of MBTI ({len(config_data.Settings_DROPDOWN_MBTI)})",
                 info=config_data.InformationMessages_DROPDOWN_MBTI_INFO,
                 choices=config_data.Settings_DROPDOWN_MBTI,
                 value=config_data.Settings_DROPDOWN_MBTI[0],

app/event_handlers/practical_task_sorted.py

@@ -28,4 +28,5 @@ def event_handler_practical_task_sorted(
         file_name=Path(files[person_id]).name,
         label=f"{label} - " + str(person_id + 1),
         visible=True,
+        elem_classes="video-sorted-container",
     )

app/mbti_description.py

@@ -26,4 +26,6 @@ MBTI_DATA = pd.DataFrame(
     }
 )
 
-MBTI_DESCRIPTION = "<h4>The four human Personality Dimensions</h4>"
+MBTI_DESCRIPTION = (
+    "<h4>Personality types of MBTI are based on four Personality Dimensions</h4>"
+)

app/tabs.py

@@ -98,7 +98,7 @@ def app_tab():
             elem_classes="settings-container",
         ) as settings_practical_tasks:
             dropdown_mbti = dropdown_create_ui(
-                label=f"Potential candidates by Myers-Briggs Personality Type Indicators ({len(config_data.Settings_DROPDOWN_MBTI)})",
+                label=f"Potential candidates by Personality Type of MBTI ({len(config_data.Settings_DROPDOWN_MBTI)})",
                 info=config_data.InformationMessages_DROPDOWN_MBTI_INFO,
                 choices=config_data.Settings_DROPDOWN_MBTI,
                 value=config_data.Settings_DROPDOWN_MBTI[0],

config.toml

@@ -1,5 +1,5 @@
 [AppSettings]
-APP_VERSION = "0.8.0"
+APP_VERSION = "0.8.1"
 CSS_PATH = "app.css"
 
 [InformationMessages]
@@ -36,7 +36,7 @@ ABOUT_APP_LABEL = ["About the App", "О приложении"]
 ABOUT_AUTHORS_LABEL = ["About the Authors", "Об авторах"]
 PRACTICAL_TASKS_LABEL = "Practical tasks"
 PRACTICAL_SUBTASKS_LABEL = "Practical subtasks"
-THRESHOLD_MBTI_LABEL = "Personality type indicator threshold"
+THRESHOLD_MBTI_LABEL = "Polarity traits threshold"
 THRESHOLD_PROFESSIONAL_SKILLS_LABEL = "Polarity traits threshold"
 TARGET_SCORE_OPE_LABEL = "Openness target score"
 TARGET_SCORE_CON_LABEL = "Conscientiousness target score"
@@ -53,7 +53,7 @@ NUMBER_IMPORTANCE_AGR_LABEL = "Agreeableness weight"
 NUMBER_IMPORTANCE_NNEU_LABEL = "Non-Neuroticism weight"
 THRESHOLD_CONSUMER_PREFERENCES_LABEL = "Polarity traits threshold"
 LANGUAGES_LABEL = "Languages"
-NOTE_MBTI_LABEL = "Note: What is MBTI?"
+NOTE_MBTI_LABEL = "Note: What are Personality Types of MBTI?"
 
 [TabCreators]
 "App" = "app_tab"

practical_tasks.yaml

@@ -1,6 +1,6 @@
 - task: "Ranking potential candidates by professional responsibilities"
   subtasks:
-    - "Sixteen Myers-Briggs Personality Type Indicators"
+    - "16 Personality Types of MBTI"
     - "Professional groups"
     - "Professional skills"
 - task: "Forming effective work teams"