README.md

metadata

title: Sinhala SRT Subtitle Cleaner
emoji: 🎬
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

🎬 සිංහල SRT Subtitle Cleaner

Gemma 2 9B AI model භාවිතා කර .srt subtitle files වලින් author credits, website URLs, සහ copyright notices ස්වයංක්‍රීයව ඉවත් කරයි.

✨ Features

• Dual Detection: Regex fast-filter + Gemma 2 9B AI classification
• Live Interface: File upload හෝ text paste කළ හැකිය
• API Endpoint: Python/cURL හරහා programmatic access
• Renumbering: ඉවත් කළ lines වලින් පසු automatic renumbering
• Sinhala Support: UTF-8 encoding සම්පූර්ණයෙන් support කරයි

🚀 Setup

HF Token

Space Settings > Variables and Secrets හි:

HF_TOKEN = hf_xxxxxxxxxxxxxxxx

Gemma 2 access සඳහා model page හි access request කරන්න.

🔌 API Usage

from gradio_client import Client

client = Client("your-username/srt-cleaner")

# Text input API
result = client.predict(
    text_content="1\n00:00:01,000 --> 00:00:04,000\nwww.subscene.com\n\n2\n...",
    use_gemma=True,
    api_name="/handle_text_input"
)
cleaned_srt, report, output_file = result

📋 What Gets Removed?

• Website URLs (http://, www.)
• Subtitle site names (Subscene, OpenSubtitles, etc.)
• "Subtitles by / Translated by / Synced by" credits
• Copyright notices (©, All rights reserved)
• Promotional content detected by Gemma AI