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Runtime error
Runtime error
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# π§ Railway Deployment Fix Guide
## β Issue: CLI Timeout Error
The Railway CLI is timing out because your project contains large AI model files (20+ MB):
- `ppe_yolov8_model_0.pt` (6.0MB)
- `ppe_model.pt` (14MB)
- `yolov8n.pt` (6.2MB)
**Total upload size**: ~26MB + code = slow upload causing timeout
## β
Solutions (Choose One)
### π Solution 1: Web Interface (Recommended)
**Fastest and most reliable method:**
```bash
# Run this script for guided deployment
./deploy_web.sh
```
**Manual steps:**
1. Go to [railway.app](https://railway.app)
2. Click "New Project"
3. Select "Deploy from GitHub repo"
4. Choose your `safetyMaster` repository
5. Railway auto-detects Dockerfile and deploys!
**Why this works:** Web interface handles large files better than CLI.
### π Solution 2: Optimized CLI Deployment
**Try CLI again with optimized settings:**
```bash
# Models are now excluded from upload (see .dockerignore)
# They'll download automatically during build
/opt/homebrew/bin/railway up --detach
```
### π³ Solution 3: Alternative Platforms
#### Render (Free Tier Available)
```bash
# 1. Go to render.com
# 2. Connect GitHub repo
# 3. Select "Web Service"
# 4. Auto-deploys from Dockerfile
```
#### Heroku (If you have account)
```bash
# Install Heroku CLI
brew install heroku/brew/heroku
# Deploy
heroku create safetymaster-pro
heroku container:push web
heroku container:release web
```
## π§ What I Fixed
### 1. Updated `.dockerignore`
- β
Excluded large model files (`*.pt`)
- β
Models download automatically during deployment
- β
Reduced upload size by ~26MB
### 2. Created `deploy_web.sh`
- β
Guided web deployment process
- β
Opens Railway automatically
- β
Step-by-step instructions
### 3. Optimized Docker Build
- β
Models download from GitHub during build
- β
Faster deployment process
- β
No timeout issues
## π― Recommended Next Steps
1. **Try Web Deployment** (easiest):
```bash
./deploy_web.sh
```
2. **Or try optimized CLI**:
```bash
/opt/homebrew/bin/railway up --detach
```
3. **Monitor deployment**:
```bash
/opt/homebrew/bin/railway logs --follow
```
## π Expected Results
After successful deployment:
- β
Live URL: `https://your-app.railway.app`
- β
AI models download automatically (2-3 minutes)
- β
Full safety monitoring system online
- β
Camera access via web browser
## π If Still Having Issues
1. **Check Railway status**: [status.railway.app](https://status.railway.app)
2. **Try Render instead**: [render.com](https://render.com) (free tier)
3. **Use Docker locally**: `docker-compose up`
Your SafetyMaster Pro is ready - just need to get it deployed! π‘οΈ |