Spaces:
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Running
DmitryRyumin
commited on
Commit
β’
756b5e5
1
Parent(s):
32d3e4c
Summary
Browse files- app.css +4 -0
- app/components.py +4 -1
- app/event_handlers/calculate_pt_scores_blocks.py +108 -2
- app/event_handlers/clear_blocks.py +7 -1
- app/tabs.py +7 -1
- config.toml +4 -1
- requirements.txt +1 -1
app.css
CHANGED
@@ -29,6 +29,10 @@ div.files-container {
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max-height: 350px;
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}
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div.files-container div.icon-buttons > button,
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div.video-sorted-container div.icon-buttons > button {
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display: none;
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max-height: 350px;
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}
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div.files-container tr {
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padding-right: 20px;
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}
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div.files-container div.icon-buttons > button,
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div.video-sorted-container div.icon-buttons > button {
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display: none;
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app/components.py
CHANGED
@@ -8,6 +8,9 @@ License: MIT License
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import gradio as gr
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from typing import Union, List, Callable, Optional, Literal
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def html_message(
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message: str = "", error: bool = True, visible: bool = True
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@@ -21,7 +24,7 @@ def files_create_ui(
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value: Union[str, List[str], Callable, None] = None,
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file_count: str = "multiple",
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file_types: List = ["video"],
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-
label: str =
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show_label: bool = True,
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interactive: bool = True,
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visible: bool = True,
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import gradio as gr
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from typing import Union, List, Callable, Optional, Literal
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# Importing necessary components for the Gradio app
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from app.config import config_data
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def html_message(
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message: str = "", error: bool = True, visible: bool = True
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value: Union[str, List[str], Callable, None] = None,
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file_count: str = "multiple",
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file_types: List = ["video"],
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label: str = config_data.OtherMessages_VIDEO_FILES,
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show_label: bool = True,
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interactive: bool = True,
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visible: bool = True,
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app/event_handlers/calculate_pt_scores_blocks.py
CHANGED
@@ -34,10 +34,116 @@ def event_handler_calculate_pt_scores_blocks(files, evt_data: gr.EventData):
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paths=files, url_accuracy="", accuracy=False, lang="en", out=out
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)
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-
b5.df_files_.to_csv(config_data.Filenames_PT_SCORES)
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-
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first_practical_task = next(iter(supported_practical_tasks))
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df_files = b5.df_files_.copy()
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df_files.reset_index(inplace=True)
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paths=files, url_accuracy="", accuracy=False, lang="en", out=out
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)
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first_practical_task = next(iter(supported_practical_tasks))
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if len(b5.df_files_) == 0:
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gr.Warning(config_data.OtherMessages_CALCULATE_PT_SCORES_ERR)
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return (
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html_message(config_data.OtherMessages_CALCULATE_PT_SCORES_ERR, False),
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dataframe(visible=False),
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files_create_ui(
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None,
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"single",
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[".csv"],
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config_data.OtherMessages_EXPORT_PT_SCORES,
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True,
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False,
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False,
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"csv-container",
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),
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gr.HTML(value=STEP_2, visible=False),
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gr.Column(visible=False),
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radio_create_ui(
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first_practical_task,
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config_data.Labels_PRACTICAL_TASKS_LABEL,
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list(map(str, supported_practical_tasks.keys())),
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config_data.InformationMessages_PRACTICAL_TASKS_INFO,
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True,
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True,
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),
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radio_create_ui(
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supported_practical_tasks[first_practical_task][0],
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config_data.Labels_PRACTICAL_SUBTASKS_LABEL,
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supported_practical_tasks[first_practical_task],
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config_data.InformationMessages_PRACTICAL_SUBTASKS_INFO,
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True,
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True,
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),
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gr.JSON(
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value={
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str(task): supported_practical_tasks.get(task, [None])[0]
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for task in supported_practical_tasks.keys()
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},
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visible=False,
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render=True,
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),
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gr.Column(visible=False),
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dropdown_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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dropdown_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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dropdown_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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number_create_ui(visible=False),
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button(
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config_data.OtherMessages_CALCULATE_PRACTICAL_TASK,
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True,
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1,
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"./images/pt.ico",
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False,
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"calculate_practical_task",
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),
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gr.Row(visible=False),
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gr.Column(visible=False),
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dataframe(visible=False),
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files_create_ui(
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None,
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"single",
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[".csv"],
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config_data.OtherMessages_EXPORT_PS,
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True,
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False,
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False,
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"csv-container",
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),
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gr.Accordion(visible=False),
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gr.HTML(visible=False),
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dataframe(visible=False),
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gr.Column(visible=False),
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video_create_ui(visible=False),
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gr.Column(visible=False),
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gr.Row(visible=False),
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gr.Row(visible=False),
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gr.Image(visible=False),
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textbox_create_ui(visible=False),
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gr.Row(visible=False),
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gr.Image(visible=False),
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textbox_create_ui(visible=False),
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gr.Row(visible=False),
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gr.Row(visible=False),
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gr.Image(visible=False),
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textbox_create_ui(visible=False),
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gr.Row(visible=False),
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gr.Image(visible=False),
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textbox_create_ui(visible=False),
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html_message(config_data.InformationMessages_NOTI_IN_DEV, False, False),
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)
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b5.df_files_.to_csv(config_data.Filenames_PT_SCORES)
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df_files = b5.df_files_.copy()
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df_files.reset_index(inplace=True)
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app/event_handlers/clear_blocks.py
CHANGED
@@ -29,7 +29,13 @@ def event_handler_clear_blocks():
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return (
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html_message(config_data.InformationMessages_NOTI_VIDEOS, False),
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-
files_create_ui(
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video_create_ui(),
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button(
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config_data.OtherMessages_CALCULATE_PT_SCORES,
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return (
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html_message(config_data.InformationMessages_NOTI_VIDEOS, False),
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files_create_ui(
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label="{} ({})".format(
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config_data.OtherMessages_VIDEO_FILES,
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", ".join(config_data.Settings_SUPPORTED_VIDEO_EXT),
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),
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file_types=[f".{ext}" for ext in config_data.Settings_SUPPORTED_VIDEO_EXT],
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),
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video_create_ui(),
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button(
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config_data.OtherMessages_CALCULATE_PT_SCORES,
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app/tabs.py
CHANGED
@@ -36,7 +36,13 @@ def app_tab():
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gr.HTML(value=STEP_1)
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with gr.Row():
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-
files = files_create_ui(
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video = video_create_ui()
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gr.HTML(value=STEP_1)
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with gr.Row():
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files = files_create_ui(
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label="{} ({})".format(
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config_data.OtherMessages_VIDEO_FILES,
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", ".join(config_data.Settings_SUPPORTED_VIDEO_EXT),
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),
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file_types=[f".{ext}" for ext in config_data.Settings_SUPPORTED_VIDEO_EXT],
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)
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video = video_create_ui()
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config.toml
CHANGED
@@ -1,5 +1,5 @@
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[AppSettings]
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APP_VERSION = "0.8.
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CSS_PATH = "app.css"
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[InformationMessages]
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STEP_2 = "Step 2: Solving practical task"
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[OtherMessages]
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CALCULATE_PT_SCORES = "Calculation of Big Five personality traits scores"
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CALCULATE_PRACTICAL_TASK = "Solving practical task"
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CLEAR_APP = "Clear"
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EXAMPLES_APP = "Examples"
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@@ -98,6 +100,7 @@ DROPDOWN_MBTI = [
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]
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DROPDOWN_MBTI_DEL_COLS = ["EI", "SN", "TF", "JP", "Match"]
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SHOW_VIDEO_METADATA = true
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[Values]
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TARGET_SCORES = [0.527886, 0.522337, 0.458468, 0.51761, 0.444649]
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[AppSettings]
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APP_VERSION = "0.8.7"
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CSS_PATH = "app.css"
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[InformationMessages]
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STEP_2 = "Step 2: Solving practical task"
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[OtherMessages]
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VIDEO_FILES = "Video Files"
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CALCULATE_PT_SCORES = "Calculation of Big Five personality traits scores"
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CALCULATE_PT_SCORES_ERR = "Personality traits scores have not been calculated. Try uploading a different file(s)"
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CALCULATE_PRACTICAL_TASK = "Solving practical task"
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CLEAR_APP = "Clear"
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EXAMPLES_APP = "Examples"
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]
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DROPDOWN_MBTI_DEL_COLS = ["EI", "SN", "TF", "JP", "Match"]
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SHOW_VIDEO_METADATA = true
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SUPPORTED_VIDEO_EXT = ["mp4", "mov", "avi", "flv"]
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[Values]
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TARGET_SCORES = [0.527886, 0.522337, 0.458468, 0.51761, 0.444649]
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requirements.txt
CHANGED
@@ -2,6 +2,6 @@ gradio==4.23.0
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requests==2.31.0
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PyYAML==6.0.1
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toml==0.10.2
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-
oceanai==1.0.
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tf-keras==2.16.0
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pandas==2.2.1
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requests==2.31.0
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PyYAML==6.0.1
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toml==0.10.2
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oceanai==1.0.0a29
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tf-keras==2.16.0
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pandas==2.2.1
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