README.md

metadata

title: Urdu STT with GPT-OSS
emoji: 🏎️
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.35.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: High-quality Urdu STT with Faster-Whisper and LLM.

🏎️ Faster Urdu ASR

This Space provides state-of-the-art Urdu Automatic Speech Recognition (ASR) built on Faster-Whisper, fine-tuned for Urdu.
In addition to transcription, it offers optional polishing with Groq’s openai/gpt-oss-120b LLM to improve Urdu grammar, punctuation, and fluency.

✨ Features

• 🎤 Audio input via upload or direct microphone recording
• 📜 Multiple output formats: plain text, .srt, .vtt, .json
• ⚡ Built on Faster-Whisper (CT2) for efficient GPU/CPU inference
• 🤖 Optional LLM polishing with Groq API for natural, improved Urdu text
• 🔑 Works with environment variable GROQ_API_KEY or via UI input

🚀 Usage

1. Upload or record an Urdu audio file.
2. Choose output format (text, srt, vtt, json).
3. (Optional) Enable LLM Polishing to improve transcription quality.
   • Provide a valid GROQ_API_KEY if not set in your environment.
   • Adjust temperature and system prompt as needed.
4. Click Transcribe and view/download your results.