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@import url('https://fonts.googleapis.com/css2?family=DM+Mono:wght@400;500&family=Manrope:wght@400;500;600;700;800&display=swap');
:root{--bg:#f7f7f5;--card:#fff;--ink:#171717;--muted:#777;--line:#e7e6e2;--accent:#2e4737;--soft:#eef1ec;--danger:#a33d32}*{box-sizing:border-box}body{margin:0;background:var(--bg);color:var(--ink);font-family:Manrope,system-ui,sans-serif}.topbar{height:72px;border-bottom:1px solid var(--line);display:flex;align-items:center;padding:0 5vw;gap:48px;background:rgba(247,247,245,.92);position:sticky;top:0;z-index:3;backdrop-filter:blur(14px)}.brand{font-weight:800;letter-spacing:-.04em;font-size:18px;color:var(--ink);text-decoration:none;display:flex;align-items:center;gap:9px}.brand em{color:#829480;font-style:normal}.brand-mark{height:28px;width:28px;border-radius:9px;display:grid;place-items:center;background:var(--accent);color:white;font-size:15px}.nav{display:flex;gap:26px;height:100%;align-items:center}.nav a,.account-nav>a{font-size:13px;color:var(--muted);text-decoration:none

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# Apple-inspired Streamlit Theme
# Uses Inter (similar to SF Pro) and JetBrains Mono for code
# Apple's design language: clean, minimalist, elegant with generous white space

[theme]
primaryColor = "#0071e3"
backgroundColor = "#ffffff"
secondaryBackgroundColor = "#f5f5f7"
codeBackgroundColor = "#fbfbfd"
textColor = "#1d1d1f"

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[theme]

# The theme that your custom theme inherits from.
#
# This can be one of the following:
# - "light": Streamlit's default light theme.
# - "dark": Streamlit's default dark theme.
# - A local file path to a TOML theme file: A local custom theme, like
# "themes/custom.toml".
# - A URL to a TOML theme file: An externally hosted custom theme, like

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# Healthcare Feedback Dataset for SetFit
# 90 examples (15 per class) - suitable for few-shot learning

# Optimized label names for ML
LABEL_MAPPING = {
    0: "access_availability",
    1: "information_provision", 
    2: "privacy_confidentiality",
    3: "continuity_care",
    4: "clinical_communication",

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import spacy
from spacy.matcher import Matcher
import math
import pandas as pd

# ============================================================================
# Installation Requirements:
# 1. pip install spacy
# 2. python -m spacy download en_core_web_sm
# ============================================================================

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import math
import os
import re
from nltk import pos_tag, word_tokenize
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import pairwise_distances
import warnings
warnings.filterwarnings("ignore")

import matplotlib.pyplot as plt

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import toml
from crewai_tools import BaseTool
from typing import ClassVar, Union, Dict, Any, List
import requests

# Load the TOML file
with open("notioncrew/config_secrets.toml", "r") as f:
    config_secrets = toml.load(f)

# Load environment variables from streamlit secrets

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import spacy
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from langchain.tools import BaseTool
from typing import Optional, Union, List
from langchain.callbacks.manager import CallbackManagerForToolRun, AsyncCallbackManagerForToolRun

class DataPreprocessingTool(BaseTool):
    name = "DataPreprocessingTool"
    description = "A tool for preprocessing and structuring unstructured data."