docs(readme): add YouTube demo video and usage methods

- Add YouTube demo video with clickable thumbnail
- Include three methods to use the project (Hugging Face space, IDE clients, custom agent)
- Place demo section prominently at the top for better visibility
- Format usage methods as a numbered list for clarity

README.md

@@ -8,16 +8,27 @@ app_file: app.py
 pinned: false
 tags:
   - mcp-server-track
+  - speech-to-text
   - whisper
   - groq
   - transcript
   - api
+  - stt
 ---
 
 # Transcript Generator
 
 A powerful MCP (Model Context Protocol) server that transcribes audio and video files into text using Groq's Whisper model. This tool enables AI assistants to process audio content, making multimedia data accessible for analysis and understanding.
 
+## 📹 Demo Video
+
+[![Transcript Generator Demo](https://img.youtube.com/vi/0wBCbXzK8TE/0.jpg)](https://youtu.be/0wBCbXzK8TE)
+
+There are three ways to use this project:
+1. **Directly on the Hugging Face space** - Upload your audio/video files and hit the transcript button
+2. **Using your favorite client** like Cursor, Windsurf or any other IDE that supports MCP
+3. **Using a custom agent** - Set up the MCP server with its available tools in your own application
+
 ## 🔍 Project Description
 
 Transcript Generator is an AI-powered transcription service built for the Gradio Agents & MCP Hackathon 2025. It leverages Groq's implementation of the Whisper Large V3 Turbo model to accurately convert spoken content from audio and video files into written text.