Refactor Dockerfile and requirements.txt for improved dependency management; update README.md with clearer installation options and instructions for prebuilt images.

QUICK-FIX.md

@@ -0,0 +1,60 @@
+# 🚨 Quick Fix for PyTorch Compatibility Error
+
+If you're seeing the `torch.compiler.disable` error, here's how to fix it:
+
+## Immediate Fix
+
+```bash
+# Stop the current container
+docker-compose down
+
+# Remove the old image to force rebuild with fixed versions
+docker rmi $(docker images | grep videotranscriber | awk '{print $3}')
+
+# Rebuild with fixed dependencies
+docker-compose up -d --build
+```
+
+## Better Solution: Use Prebuilt Images
+
+Once available, use the prebuilt images instead:
+
+```bash
+# Stop current container
+docker-compose down
+
+# Use prebuilt image (no build required)
+docker-compose -f docker-compose.prebuilt.yml up -d
+```
+
+## What Was Fixed
+
+1. **Version Pinning**: Updated `requirements.txt` with compatible versions:
+   - `torch==2.0.1` (was `>=1.7.0`)
+   - `pytorch-lightning==2.0.6` (compatible with torch 2.0.1)
+   - `pyannote.audio==3.1.1` (updated to compatible version)
+
+2. **Build Process**: Removed duplicate PyTorch installation that could cause conflicts
+
+3. **Prebuilt Images**: Created GitHub Actions to build reliable, tested images
+
+## Verification
+
+After fixing, you should see the Streamlit app load without errors at `http://localhost:8501`
+
+## If Still Having Issues
+
+1. **Clear Docker cache**:
+   ```bash
+   docker system prune -a
+   ```
+
+2. **Check logs**:
+   ```bash
+   docker-compose logs -f
+   ```
+
+3. **Manual rebuild**:
+   ```bash
+   docker build --no-cache -t videotranscriber .
+   ```