Update README.md

README.md

@@ -1,25 +1,42 @@
 ---
+title: 🎧 Urdu & English Audio Transcriber + Summarizer
+emoji: 🎙️
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: "4.43.0"
+app_file: app.py
+pinned: true
+license: mit
+---
+
 # 🎧 AI Audio + YouTube Transcriber & Summarizer
 
 ## 🔍 Overview
-This app allows users to:
-- Upload audio files **or paste a YouTube link**
-- Automatically transcribe English speech (using Groq Whisper)
-- Generate a summary in **English or Urdu**
-
-## ⚙️ Tech Stack
-- **Groq API** → Whisper-large-v3 for transcription  
-- **Hugging Face** → BART & mBART for summarization  
-- **Gradio** → Frontend interface  
-- **yt-dlp** → YouTube audio downloader  
-
-## 🚀 Deployment Steps (Hugging Face)
+This app lets you:
+- Upload an **audio file** or paste a **YouTube link**  
+- Automatically **transcribe** speech (Urdu or English) using **Groq Whisper**  
+- Generate a **summary** in either **Urdu or English**  
+
+---
+
+## 🧠 Tech Stack
+| Component | Tool/Model |
+|------------|-------------|
+| 🎙️ Transcription | `whisper-large-v3` (Groq API) |
+| 🧩 Summarization | `facebook/bart-large-cnn` (English) <br> `facebook/mbart-large-50-many-to-many-mmt` (Urdu) |
+| 💻 Interface | Gradio 4.43 |
+| 🔗 Deployment | Hugging Face Spaces |
+| 🎞️ YouTube Audio | yt-dlp + ffmpeg |
+
+---
+
+## ⚙️ Setup Instructions (for Hugging Face Spaces)
+
 1. Upload these files:
    - `app.py`
    - `requirements.txt`
-2. Go to `Settings → Variables` and add:
-   - `GROQ_API_KEY`
-   - `HUGGINGFACE_API_TOKEN`
-3. Click **Rebuild** and run the Space.
+   - `README.md`
 
-Enjoy bilingual summarization!
+2. Go to **Settings → Variables**  
+   Add these two environment variables: