reports/DEPLOYMENT_READY.md

Hugging Face Spaces Deployment - Ready to Deploy! ✅

Files Created & Verified

✅ 1. Dockerfile

Status: Ready ✓

Key features:

• ✅ Base image: python:3.11-slim
• ✅ Installed: curl and build-essential
• ✅ SurrealDB installed via official script
• ✅ HF_HOME=/tmp set for Hugging Face Spaces compatibility
• ✅ TRANSFORMERS_CACHE=/tmp for model cache
• ✅ SENTENCE_TRANSFORMERS_HOME=/tmp for embeddings
• ✅ Pre-downloads all-MiniLM-L6-v2 model during build
• ✅ Copies all required directories: api/, open_notebook/, commands/, migrations/, prompts/
• ✅ Exposes port 7860 (required for HF Spaces)
• ✅ Environment variables configured for SurrealDB and API

✅ 2. start.sh

Status: Ready ✓

Startup sequence:

1. ✅ Starts SurrealDB with surreal start --log debug --user root --pass root memory &
2. ✅ Waits 5 seconds for initialization: sleep 5
3. ✅ Validates SurrealDB is running
4. ✅ Sets environment variables for API (port 7860, host 0.0.0.0, reload false)
5. ✅ Launches FastAPI app with python run_api.py

✅ 3. open_notebook/database/connection.py

Status: Ready ✓

Features:

• ✅ 5 retry attempts with exponential backoff
• ✅ Connects to ws://localhost:8000/rpc
• ✅ Proper error handling and logging
• ✅ Works with containerized SurrealDB

✅ 4. requirements.txt

Status: Ready ✓

All dependencies extracted from pyproject.toml

---

Deployment Checklist

Pre-Deployment

• Dockerfile created with HF_HOME=/tmp
• start.sh updated with correct startup sequence
• Connection retry logic implemented
• All files in git repository

Deploy to Hugging Face Spaces

Step 1: Create Space

1. Go to https://huggingface.co/new-space
2. Fill in:
   • Name: open-notebook (or your choice)
   • License: MIT
   • SDK: Docker ⚠️ Important!
   • Hardware: CPU Basic (Free tier)

Step 2: Push Code

# Add Hugging Face remote
git remote add hf https://huggingface.co/spaces/YOUR_USERNAME/open-notebook

# Push to Hugging Face (will trigger build)
git push hf main

Step 3: Configure Secrets

In Space Settings → Repository Secrets, add:

Required (at least one):

OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GOOGLE_API_KEY=AIza...

Optional:

GROQ_API_KEY=gsk_...
MISTRAL_API_KEY=...
AUTH_PASSWORD=your_secure_password

Step 4: Wait for Build

• Build takes ~10-15 minutes
• Check build logs for errors
• Once "Running", your Space is live!

---

Accessing Your Deployed App

Once deployed, access at:

https://YOUR_USERNAME-open-notebook.hf.space

API Endpoints

Documentation:

https://YOUR_USERNAME-open-notebook.hf.space/docs

Health Check:

curl https://YOUR_USERNAME-open-notebook.hf.space/health

Create Notebook:

curl -X POST https://YOUR_USERNAME-open-notebook.hf.space/api/notebooks \
  -H "Content-Type: application/json" \
  -d '{"name": "My Research", "description": "First notebook"}'

---

Important Notes

🔴 Data Persistence

• In-Memory Storage: Data is lost on restart
• Why: Using surreal start ... memory &
• Solution: For persistent data, use external SurrealDB and update SURREAL_URL

💡 Performance Tips

1. Use Free AI Models:

   • Google Gemini (60 req/min free)
   • OpenAI GPT-3.5 (cheapest)

2. Optimize Requests:

   • Smaller chunk sizes for embeddings
   • Cache frequent queries
   • Limit concurrent uploads

3. Monitor Usage:

   • Check HF Spaces logs
   • Watch API rate limits
   • Track token usage

⚠️ Troubleshooting

Build Fails?

• Check logs in HF Spaces dashboard
• Verify all COPY paths exist in repo
• Ensure pyproject.toml is valid

"Connection Refused" Error?

• SurrealDB didn't start → check logs
• Increase sleep time in start.sh to 10 seconds
• Verify port 8000 accessible internally

Model Download Fails?

• Ensure HF_HOME=/tmp is set
• Check internet during build
• Verify sentence-transformers version

API Not Responding?

• Check port 7860 is exposed
• Verify run_api.py uses correct port
• Check FastAPI logs in Space

---

Testing Locally

Before deploying, test locally:

# Build Docker image
docker build -t open-notebook-test .

# Run container
docker run -p 7860:7860 \
  -e OPENAI_API_KEY=your_key \
  open-notebook-test

# Test in browser
open http://localhost:7860/docs

---

Next Steps After Deployment

1. Create Frontend (Optional)

Deploy the Next.js frontend separately:

• Create new Space with Node.js SDK
• Set NEXT_PUBLIC_API_URL=https://YOUR-backend-SPACE.hf.space
• Push frontend code

2. Set Up Persistent Storage

For production use:

# Deploy SurrealDB on Railway/Fly.io
# Update Space secrets:
SURREAL_URL=wss://your-db-instance.com/rpc
SURREAL_USER=your_user
SURREAL_PASS=your_password

3. Enable Authentication

Set password in Space secrets:

AUTH_PASSWORD=secure_password_here

4. Monitor and Scale

• Watch HF Spaces metrics
• Upgrade to HF Pro ($9/month) for:
  • No cold starts
  • Persistent storage
  • More CPU/RAM
  • Custom domains

---

Files Summary

c:\Bavesh\Sem6\SE\
├── Dockerfile                          ✅ Ready (port 7860, HF_HOME=/tmp)
├── start.sh                            ✅ Ready (SurrealDB + sleep 5 + run_api.py)
├── requirements.txt                    ✅ Ready (all dependencies)
├── run_api.py                          ✅ Existing (launches on port from env)
├── open_notebook/
│   └── database/
│       └── connection.py               ✅ Ready (retry logic)
├── api/                                ✅ Existing
├── commands/                           ✅ Existing
├── migrations/                         ✅ Existing
├── prompts/                            ✅ Existing
└── pyproject.toml                      ✅ Existing

---

Support

• Documentation: HUGGINGFACE_DEPLOYMENT.md
• Issues: https://github.com/baveshraam/software-eng-proj/issues
• Discord: https://discord.gg/37XJPXfz2w

---

🎉 You're Ready to Deploy!

Your files are configured correctly. Just push to Hugging Face and watch it build!

git add .
git commit -m "Configure for Hugging Face Spaces deployment"
git push hf main

Good luck! 🚀