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"""All app-specific user defined configurations are defined here"""
import os
from dataclasses import dataclass
from sumy.summarizers.text_rank import TextRankSummarizer
from sumy.summarizers.lex_rank import LexRankSummarizer
from sumy.summarizers.lsa import LsaSummarizer
import plotly.express as px
### define all plotting configuration here,
### should not be accessed and changed directly hence leading "__"
@dataclass
class __PlotConfig:
"""All plotting configurations are defined here"""
# Available themes (templates):
# ['ggplot2', 'seaborn', 'simple_white', 'plotly',
# 'plotly_white', 'plotly_dark', 'presentation',
# 'xgridoff', 'ygridoff', 'gridon', 'none']
theme = "plotly_dark"
cat_color_map = px.colors.qualitative.T10
cat_color_map_r = px.colors.qualitative.T10_r
cont_color_map = px.colors.sequential.amp
cont_color_map_r = px.colors.sequential.amp_r
### define all app-wide configuration here,
### should not be accessed and changed directly hence leading "__"
@dataclass
class __AppConfig:
"""app-wide configurations"""
# get current working directory
cwd = os.getcwd()
banner_image_file = f"{cwd}/"
logo_image_file = f"{cwd}/assets/logo.png"
app_icon_file = f"{cwd}/assets/NLP.png"
app_title = "Applications"
readme_file_path = f"{cwd}/artifacts/about.md"
app_short_desc = "For common NLP use cases"
emotions_data_file = f"{cwd}/data/emotions.csv"
emoji_map = {
"joy": "😃",
"anger": "😡",
"disgust": "🤮",
"fear": "😨",
"neutral": "😐",
"sadness": "😔",
"shame": "🫣",
"surprise": "😲",
}
model_file = f"{cwd}/artifacts/lr_model.joblib"
sidebar_state = "expanded" # collapsed
layout = "centered" # wide
icon_question = "❓"
icon_important = "🎯"
icon_info = "ℹ️"
icon_stop = "⛔"
icon_about = "👋"
spacy_lang_model = "en_core_web_sm"
# sumy summarizers
summarizers = dict(
TextRankSummarizer={
"module": "sumy.summarizers.text_rank",
"desc": (
"**`TextRank`** is a graph based ranking algorithm. Read this article"
+ " https://blogs.cornell.edu/info2040/2018/10/22/40068/"
+ " to get a good intuition behind it"
),
},
LexRankSummarizer={
"module": "sumy.summarizers.lex_rank",
"desc": (
"**`LexRank`** is another graph based ranking algorithm. Read this"
+ " https://github.com/crabcamp/lexrank"
+ " to get a good intuition behind it"
),
},
LsaSummarizer={
"module": "sumy.summarizers.lsa",
"desc": (
"**`LSA`** or Latent Semantic Analysis uses word frequency and Singular"
+ " Value Decomposition (SVD). Read this"
+ " https://www.analyticsvidhya.com/blog/2021/09/latent-semantic-analysis-and-its-uses-in-natural-language-processing/ article"
+ " to get a good intuition behind it"
),
},
)
### make configs available to any module that imports this module
app_config = __AppConfig()
plot_config = __PlotConfig
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