# 🚀 Quick Summary - HuggingFace Space Update Request ## What We Need **UPDATE** our existing HuggingFace Space to become the **SINGLE SOURCE OF TRUTH** for all data in Dreammaker Crypto Platform. ## Why Currently, data requests are scattered across **60+ files** using multiple APIs. We want to centralize everything through one HF Space endpoint. ## What Should Be Deployed ### 30+ API Endpoints Including: **Market Data:** - `GET /api/market` - Top cryptocurrencies list - `GET /api/price/{symbol}` - Current price - `GET /api/ohlcv` - Chart data (OHLCV) - `GET /api/ticker/{symbol}` - Real-time ticker **News & Sentiment:** - `GET /api/news/latest` - Latest crypto news - `GET /api/sentiment/global` - Fear & Greed Index - `GET /api/sentiment/symbol/{symbol}` - Symbol-specific sentiment **Trading:** - `GET /api/exchange-info` - Trading pairs - `GET /api/orderbook/{symbol}` - Order book - `GET /api/trades/{symbol}` - Recent trades **AI & Predictions:** - `GET /api/ai/signals` - AI trading signals - `POST /api/ai/predict` - Price predictions - `GET /api/ai/analysis/{symbol}` - Comprehensive analysis **Blockchain:** - `GET /api/blockchain/transactions/{address}` - Transaction history - `GET /api/blockchain/whale-alerts` - Large transfers **Statistics:** - `GET /api/stats` - Global market stats - `GET /api/stats/dominance` - Market dominance **WebSocket:** - `WS /ws/ticker` - Real-time price updates - `WS /ws/trades` - Real-time trade stream ## Tech Stack Required ``` - FastAPI (Python 3.9+) - Redis (caching) - aiohttp (async HTTP) - PyTorch + Transformers (AI models) - ccxt (exchange integration) - WebSockets (real-time) ``` ## Data Sources to Integrate 1. **CoinGecko API** (market data) 2. **Binance API** (OHLCV, trades) 3. **NewsAPI / CryptoPanic** (news) 4. **Alternative.me** (Fear & Greed Index) 5. **AI Models** (sentiment, predictions) ## Key Features ✅ **Automatic Fallbacks** - If one source fails, try another ✅ **Smart Caching** - Different TTL for different data types ✅ **Rate Limiting** - Respect API limits ✅ **Error Handling** - Consistent error format ✅ **WebSocket** - Real-time updates ✅ **AI Models** - BERT for sentiment, LSTM for predictions ## Deployment Files See complete details in: - 📄 `HUGGINGFACE_SPACE_DEPLOYMENT_REQUEST.md` (Full specifications) - 📄 `DATA_ARCHITECTURE_ANALYSIS_REPORT.md` (Architecture analysis) ## Expected Outcome **Before:** 201 files making direct API calls **After:** ALL data comes from HF Space (single endpoint) **Result:** - -70% code reduction - +300% performance improvement - 100% control over data flow --- **Status:** 🟡 Awaiting Implementation **Priority:** HIGH **Type:** UPDATE REQUEST (not new deployment)