Trim README (remove deploy/how-to, MCP, troubleshooting sections)

README.md

@@ -90,49 +90,6 @@ All of this happens automatically. You just upload and wait a few minutes.
 - All generated videos are written to `outputs/` (oldest files auto-pruned to keep disk usage in check); temp workdirs are cleaned after each job.
 - Jobs run through a small Gradio queue to avoid overlapping heavy runs on shared Spaces.
 
-### HuggingFace Spaces
-
-The app is ready to deploy on HuggingFace Spaces. It works completely without API keys using open source models.
-
-1. Create a new Space on [Hugging Face Spaces](https://huggingface.co/spaces)
-2. Choose **Gradio** SDK
-3. Upload all files from this repository
-4. Add `ffmpeg` to `packages.txt`
-5. The app will build automatically
-
-**Optional**: Add your ElevenLabs API key in the UI for premium voice quality. The app works perfectly without it.
-
-### Quick Smoke Test (after deploy)
-
-1. Grab a 5–10 second MP4 (spoken English) and upload.
-2. Choose Spanish (default) and click Localize. No API key needed.
-3. Wait for the job to finish (serialized queue); the localized file appears in the UI and is saved to `outputs/`.
-4. If audio is silent, ensure outbound network is allowed for EdgeTTS/deep-translator or switch to a GPU space for faster Whisper.
-
-### MCP Server (for Claude)
-
-Connect Claude to your video library:
-
-1. Start the server:
-   ```bash
-   python server.py
-   ```
-
-2. Add to `claude_desktop_config.json`:
-   ```json
-   {
-     "mcpServers": {
-       "localizer": {
-         "command": "uv",
-         "args": ["run", "/absolute/path/to/MCP-Video-Localizer/server.py"]
-       }
-     }
-   }
-   ```
-
-3. Ask Claude:
-   > "I have a video at `/Users/me/demo.mp4`. Please dub it into Japanese."
-
 ## Tech Stack
 
 - **MCP**: Model Context Protocol server for Claude integration
@@ -143,42 +100,3 @@ Connect Claude to your video library:
 - **Coqui TTS**: Local neural TTS (fallback)
 - **gTTS**: Reliable backup TTS
 - **MoviePy/FFmpeg**: Video processing engine
-
-## Troubleshooting
-
-**Video processing is slow**: This is normal. Video processing can take 2-5 minutes for a 1-minute video. Consider using GPU instances for faster processing.
-
-**ffmpeg not found**: Install ffmpeg on your system. On Hugging Face Spaces, add it to `packages.txt`.
-
-**Module not found**: Ensure all dependencies are installed: `pip install -r requirements.txt`
-
-## Hackathon Submission
-
-Built for the [MCP 1st Birthday Hackathon](https://huggingface.co/MCP-1st-Birthday) hosted by Anthropic and Gradio.
-
-**Competing in All Tracks**:
-
-**Track 1: Building MCP**
-- 🏗️ Consumer MCP Servers - Full MCP server implementation for video localization
-- 🏢 Enterprise MCP Servers - Scalable solution for enterprise content localization needs
-- 🛠️ Developer Tools - MCP server that developers can integrate into their workflows
-
-**Track 2: MCP in Action**
-- 🚀 Consumer Applications - User-friendly Gradio interface for end users
-- 🏢 Enterprise Applications - Business-ready solution for content creators and enterprises
-- 🛠️ Developer Tools - Programmatic API via MCP for integration into developer workflows
-
-**Video and Social Media Post**: [View on X/Twitter](https://x.com/osamaamoftah/status/1995278797793280204?s=20)
-
-**Key Features**:
-- ✅ Full MCP server implementation for Claude integration
-- ✅ Multi-modal AI pipeline (video → audio → text → translation → voice → video)
-- ✅ Works completely free with open source models
-- ✅ Optional ElevenLabs integration for premium voice quality
-- ✅ Intelligent fallback system ensures reliability
-- ✅ Professional-grade output in minutes
-- ✅ Programmatic access via MCP - Claude can localize videos automatically
-
----
-
-**Made with ❤️ for the MCP community**