debuggenie / DEPLOY.md
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Initial deployment
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# HF Space Deployment Instructions
## What's in this folder
This `hf_space` directory contains a **complete, standalone** Hugging Face Space ready to deploy.
### Structure
```
hf_space/
β”œβ”€β”€ app.py # Entry point for HF Space
β”œβ”€β”€ README.md # Space description with metadata
β”œβ”€β”€ requirements.txt # Minimal dependencies
β”œβ”€β”€ .gitignore # Git ignore patterns
β”œβ”€β”€ ui/
β”‚ β”œβ”€β”€ gradio_interface.py # Gradio UI components
β”‚ β”œβ”€β”€ remote_client.py # Modal backend client
β”‚ └── backend.py # Backend abstraction
β”œβ”€β”€ core/
β”‚ └── models.py # Pydantic data models
β”œβ”€β”€ visualization/
β”‚ └── blaxel_generator.py # 3D visualization
β”œβ”€β”€ voice/
β”‚ └── elevenlabs_tts.py # Voice TTS (stub)
└── config/
└── api_keys.py # Config (stub)
```
## Deployment Steps
### Option 1: Push to Existing Space
If you already have a Space created at https://huggingface.co/spaces/Nihal2000/debuggenie:
```bash
cd hf_space
# Initialize git if needed
git init
git add .
git commit -m "Initial DebugGenie HF Space deployment"
# Add HF remote
git remote add hf https://huggingface.co/spaces/Nihal2000/debuggenie
# Push
git push hf main --force
```
### Option 2: Create New Space
1. Go to https://huggingface.co/new-space
2. Create Space:
- **Name**: `debuggenie`
- **License**: MIT
- **SDK**: Gradio
- **Hardware**: CPU Basic (free) or upgrade to T4 Small for faster performance
3. Clone the Space locally:
```bash
git clone https://huggingface.co/spaces/Nihal2000/debuggenie
```
4. Copy contents of `hf_space/` into the cloned directory
5. Commit and push:
```bash
git add .
git commit -m "Initial deployment"
git push
```
### Configure Secrets
**CRITICAL**: Before the Space will work, you must set the `MODAL_API_URL` secret:
1. Go to your Space settings: https://huggingface.co/spaces/Nihal2000/debuggenie/settings
2. Navigate to **Repository secrets**
3. Add a new secret:
- **Name**: `MODAL_API_URL`
- **Value**: Your Modal endpoint URL (e.g., `https://nihal2000--debuggenie-app-analyze-error.modal.run`)
### Get Modal URL
First, deploy your Modal backend:
```bash
cd .. # Back to main debuggenie directory
modal deploy modal_app.py
```
Copy the URL from the output (looks like `https://[username]--debuggenie-app-analyze-error.modal.run`).
## Testing Locally
You can test the HF Space locally before pushing:
```bash
cd hf_space
# Set the Modal URL
set MODAL_API_URL=https://your-modal-url.modal.run
# Run
python app.py
```
## Troubleshooting
### Import Errors
All imports should work because we've included stub files for optional dependencies.
### Modal Connection Errors
1. Verify `MODAL_API_URL` is set in HF Space secrets
2. Check that Modal backend is deployed and running
3. Test Modal endpoint directly with curl:
```bash
curl -X POST https://your-modal-url.modal.run \
-H "Content-Type: application/json" \
-d '{"error_text": "test error"}'
```
### Space Not Building
Check the Space logs for build errors. Common issues:
- Missing dependencies in `requirements.txt`
- Import errors (check all modules have `__init__.py`)
## Next Steps
After deployment:
1. Visit your Space: https://huggingface.co/spaces/Nihal2000/debuggenie
2. Test with a sample error
3. Share with others!