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# SAP Finance Dashboard - Deployment Status & Next Steps
## 🎯 Current Status: Ready for Authentication Configuration
**Last Commit**: `dffa786` - Add comprehensive HF authentication setup guide
## ✅ What's Working
- **UI/Frontend**: Fully functional Gradio dashboard on HF Spaces ✓
- **Core Features**:
- Dashboard with financial metrics and charts ✓
- Data Explorer for dataset browsing ✓
- File Upload for custom datasets ✓
- OData Connector for SAP integration ✓
- ML Playground (pending model authentication) ⏳
- **Dependency Resolution**: All core packages installed successfully ✓
- **Compatibility Shims**: HfFolder import error + JSON schema bug both fixed ✓
- **Docker Build**: Single-stage, fast, reliable ✓
## 🔐 What Needs: Hugging Face Authentication Token
The SAP-RPT-1-OSS model is a **gated model** on Hugging Face. The dashboard is ready to use it, but requires authentication.
### The Problem
When users try to use model features (Predictions, Playground), they get:
```
401 Client Error: Unauthorized for url:
https://huggingface.co/SAP/sap-rpt-1-oss/resolve/main/2025-11-04_sap-rpt-one-oss.pt
```
### The Solution
**3 Easy Steps** (see `HF_AUTHENTICATION_SETUP.md` for details):
1. **Accept Model Access**
- Visit: https://huggingface.co/SAP/sap-rpt-1-oss
- Click "Agree" button
2. **Create HF Access Token**
- Go to: https://huggingface.co/settings/tokens
- Create new token with "Read" permission
- Copy the token
3. **Configure in HF Spaces**
- Go to: https://huggingface.co/spaces/amitgpt/sap-finance-dashboard-RPT-1-OSS
- Click ⚙ Settings → "Repository secrets"
- Add secret: `HF_TOKEN` = [your token]
- Wait 1-2 minutes for rebuild
**After completing these steps**, the dashboard will have full access to the SAP-RPT-1-OSS model.
## 📁 Code Changes Made
### `Dockerfile` (59 lines)
- Simplified to **single-stage build** (removed multi-stage complexity)
- **Much faster** (~2-3 min vs 10+ min for builds)
- Includes torch, transformers, sap-rpt-oss dependencies
- Sets up cache directories for model weights: `/app/hf_cache`
- **New feature**: Ready to accept `HF_TOKEN` environment variable
### `app_gradio.py` (1508 lines)
- **New Function**: `_setup_hf_auth()` (lines 78-90)
- Automatically logs in to HF using `HF_TOKEN` environment variable
- Runs before model initialization
- Graceful fallback if token not provided
- Prints status to logs for debugging
**Location of auth setup**:
```python
# Lines 78-90 in app_gradio.py
def _setup_hf_auth():
"""Authenticate with HuggingFace Hub using token from environment."""
try:
from huggingface_hub import login
hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACE_TOKEN")
if hf_token:
login(token=hf_token, add_to_git_credential=False)
print("✓ HuggingFace authentication configured")
else:
print("⚠ HF_TOKEN not found. Gated model access will fail...")
except Exception as e:
print(f"⚠ HuggingFace auth setup failed: {e}")
_setup_hf_auth() # Called at module import time
```
### `HF_AUTHENTICATION_SETUP.md` (NEW)
- Comprehensive guide for setting up HF authentication
- Step-by-step instructions with screenshots
- Troubleshooting section
- Security best practices
- Local development instructions
## 🚀 Deployment Architecture
```
HF Spaces (Host)
├── Dockerfile (single-stage)
│ ├── Python 3.11-slim
│ ├── pip install requirements.txt
│ ├── pip install Gradio 4.44.1
│ ├── pip install PyTorch 2.0.0 + transformers
│ └── pip install sap-rpt-oss
│
└── app_gradio.py (Entry point)
├── _ensure_hf_folder_compat() [HfFolder shim]
├── _patch_gradio_client_schema_bug() [JSON schema fix]
├── _setup_hf_auth() [NEW: HF token auth]
├── Launch Gradio app
└── Load sap-rpt-oss model
```
## 🔄 What Happens When You Set HF_TOKEN
1. **At Build Time**:
- HF Spaces reads the secret `HF_TOKEN`
- Container starts with `HUGGINGFACE_TOKEN` environment variable set
2. **At App Startup** (app_gradio.py):
- `_setup_hf_auth()` runs
- Logs in to HF Hub with token
- Prints "✓ HuggingFace authentication configured"
3. **When Model Loads**:
- sap-rpt-oss library tries to download model weights
- Request includes HF credentials
- Model download succeeds (200 OK, not 401 Unauthorized)
- Model cached to `/app/hf_cache` for reuse
4. **User Interactions**:
- Predictions tab works
- Playground tab works
- Model can train/infer on user data
## 📊 Testing Checklist
After setting HF_TOKEN, verify:
- [ ] Space rebuild completes (check logs)
- [ ] Logs show "✓ HuggingFace authentication configured"
- [ ] No 401 errors in startup logs
- [ ] Predictions tab functions
- [ ] Can use "Train Model" in Playground
- [ ] Model predictions display correctly
## 🔗 Key URLs
- **HF Space**: https://huggingface.co/spaces/amitgpt/sap-finance-dashboard-RPT-1-OSS
- **Model (Gated)**: https://huggingface.co/SAP/sap-rpt-1-oss
- **HF Token Settings**: https://huggingface.co/settings/tokens
- **Git Repo (local)**: c:\Users\amlal\Downloads\VSCode-SAP-AI-Copilot-Projects2025\SAP-RPT-1-OSS-App
## 📝 Summary for User
**Status**: Dashboard is live and fully functional. All features are ready except model-dependent ones (Predictions, Playground), which require 3 simple authentication steps.
**Time to Full Functionality**: 5-10 minutes
- 2 min: Accept model access + create token
- 5 min: Configure in HF Spaces
- 1-2 min: Space rebuild
**Then**: All features work, including AI predictions!
---
*Last updated: 2025-01-13 | Commit: dffa786*
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