# Dosya Yolları ve Başlıklar
CSV_FILE = "results.csv"
BANNER_IMAGE = "logo.png"
TITLE = "Turkish ASR Leaderboard"

# Tablo Başlıkları (Yeni Sütunlarla)
# CSV'deki sütun adları ile buradaki sıra eşleşmeli
TABLE_HEADERS = [
    "Rank", "Model", "CV17 (WER)", "CV17 (CER)", "FLEURS (WER)", "FLEURS (CER)",
    "Average WER ⬇️", "Params", "Speed (RTF) ⬇️", "Type", "License"
]

# HTML Hakkında Bölümü
ABOUT_INTRO_HTML = """
<h3>🇹🇷 Turkish ASR Leaderboard</h3>
<p>
This platform is designed for the **fair, transparent, and reproducible** comparison of Turkish Automatic Speech Recognition (ASR) models.
It aims to provide the community with a reliable benchmark to track progress in Turkish speech technologies.
</p>
"""
ABOUT_METHODOLOGY_HTML = """
<h3>⚙️ Methodology</h3>
<p>
Models are ranked by **Average WER** across datasets. We also measure **RTF (Real-Time Factor)** for speed (lower is faster).
All evaluations use standardized normalization.
</p>
"""

# Metrik Kartları (İngilizce)
WER_HTML = """
<h3>WER — Word Error Rate</h3>
<p>Measures the percentage of incorrect words.</p>
<div class='formula-box'>WER = ( S + D + I ) / N</div>
<div class='metric-subgrid'>
    <div class='subgrid-item'><span class='grid-letter'>S</span><span>Substitutions</span></div>
    <div class='subgrid-item'><span class='grid-letter'>D</span><span>Deletions</span></div>
    <div class='subgrid-item'><span class='grid-letter'>I</span><span>Insertions</span></div>
    <div class='subgrid-item'><span class='grid-letter'>N</span><span>Total Words</span></div>
</div>
"""
CER_HTML = """
<h3>CER — Character Error Rate</h3>
<p>Measures the percentage of incorrect characters.</p>
<div class='formula-box'>CER = ( S + D + I ) / N_char</div>
<p>More precise for agglutinative languages like Turkish.</p>
"""
NORM_HTML = """
<h3>🧹 Normalization</h3>
<ul><li>Lowercase conversion (İ->i, I->ı).</li><li>Punctuation removal.</li><li>Single spacing.</li></ul>
"""
COMPARE_HTML = """
<h3>⚖️ Ranking & Speed</h3>
<ul><li><b>Rank:</b> Based on Average WER (Lower is better ⬇️).</li><li><b>RTF:</b> Real-Time Factor (Time taken / Audio duration). Lower is faster ⚡.</li></ul>
"""

# Veri Setleri
DATASET_CV_HTML = """<h3>🗣️ Common Voice 17</h3><p>Crowdsourced, diverse accents and conditions.</p>"""
DATASET_FLEURS_HTML = """<h3>🌍 FLEURS</h3><p>Professional narrators, cleaner read speech.</p>"""

# Gönderme ve Sesli Sandbox Açıklamaları
SUBMIT_DESC = """
### 📝 Submit Your Model
Have you trained a Turkish ASR model? Submit it here to be evaluated and added to the leaderboard!
Please provide the Hugging Face model ID and any relevant details.
"""
AUDIO_SANDBOX_DESC = """
### 🎤 Live Audio Testing
Record your voice or upload an audio file to test a model in real-time!
**Note:** This uses a lightweight model (`openai/whisper-tiny`) for demonstration purposes.
"""