docs(README.md): update readme

README.md

@@ -1,13 +1,15 @@
 # YouTube Video Transcriber
 
-A Streamlit app that transcribes YouTube videos using Whisper.
+A Streamlit app that transcribes YouTube videos using Whisper, with optional formatting using a large language model, audio download, and video download.
 
 ## How it works
 
-- Downloads audio from YouTube videos.
+- Downloads audio from YouTube videos using `yt-dlp`.
 - Splits audio into speech segments using Silero VAD.
 - Transcribes segments in batches using OpenAI's Whisper model.
+- Formats the transcription using a large language model (if selected).
 - Displays transcribed text with timestamps.
+- Provides options to download the raw transcription, formatted transcription, audio, or video.
 
 ## Requirements
 
@@ -17,8 +19,10 @@ Listed in `requirements.txt`
 
 1. Install dependencies: `pip install -r requirements.txt`
 2. Run the app: `streamlit run app.py`
-3. Enter a YouTube video URL and optional language code.
-4. Click "Transcribe".
+3. Enter a YouTube video URL.
+4. Choose options: Transcribe, Download Audio, Download Video, Format Text.
+5. Select a language or use auto-detect (under "Advanced Settings").
+6. Click "Process".
 
 ## Screenshot