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# Utils package for NLP Ultimate Tutorial Flask Application
from .helpers import (
fig_to_html,
df_to_html_table,
text_statistics,
create_text_length_chart,
format_pos_token,
create_entity_span,
create_sentiment_color,
format_sentiment_score,
create_progress_bar,
create_confidence_gauge
)
from .model_loader import (
download_nltk_resources,
load_spacy,
load_sentiment_analyzer,
load_emotion_classifier,
load_summarizer,
load_qa_pipeline,
load_translator,
load_text_generator,
load_zero_shot,
load_embedding_model,
initialize_all_models,
get_model_status,
clear_models
)
from .visualization import (
setup_mpl_style,
create_bar_chart,
create_horizontal_bar_chart,
create_pie_chart,
create_line_chart,
create_scatter_plot,
create_heatmap,
create_word_cloud_placeholder,
create_network_graph,
create_gauge_chart,
create_comparison_chart
)
__all__ = [
# Helpers
'fig_to_html',
'df_to_html_table',
'text_statistics',
'create_text_length_chart',
'format_pos_token',
'create_entity_span',
'create_sentiment_color',
'format_sentiment_score',
'create_progress_bar',
'create_confidence_gauge',
# Model Loader
'download_nltk_resources',
'load_spacy',
'load_sentiment_analyzer',
'load_emotion_classifier',
'load_summarizer',
'load_qa_pipeline',
'load_translator',
'load_text_generator',
'load_zero_shot',
'load_embedding_model',
'initialize_all_models',
'get_model_status',
'clear_models',
# Visualization
'setup_mpl_style',
'create_bar_chart',
'create_horizontal_bar_chart',
'create_pie_chart',
'create_line_chart',
'create_scatter_plot',
'create_heatmap',
'create_word_cloud_placeholder',
'create_network_graph',
'create_gauge_chart',
'create_comparison_chart'
]
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