| title: Intel Reddit AI Analyzer | |
| emoji: 🔍 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "6.14.0" | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Intel Reddit AI Analyzer | |
| AI-powered sentiment analysis and location extraction for Reddit OSINT investigations. | |
| ## Features | |
| - **Sentiment Analysis**: DistilBERT model (Negative/Neutral/Positive) | |
| - **Batch Processing**: Analyze multiple posts and comments | |
| - **Location Extraction**: spaCy NER for GPE/LOC entities | |
| - **Confidence Scores**: Probability distribution for all classes | |
| ## API Usage | |
| The Space provides a REST API endpoint at `/api/predict`: | |
| ```bash | |
| curl -X POST "https://your-username-intel-reddit-analyzer.hf.space/api/predict" \ | |
| -H "Content-Type: application/json" \ | |
| -d '{ | |
| "data": [ | |
| "[{\"title\": \"Example\", \"selftext\": \"This is great!\"}]", | |
| "[{\"body\": \"I love this place\"}]" | |
| ] | |
| }' | |
| ``` | |
| ## Model Details | |
| - **Architecture**: DistilBERT (6 layers, 768 hidden dim) | |
| - **Classes**: negative, neutral, positive | |
| - **Inference**: CPU-based (free tier) | |
| - **Cold Start**: ~10-30 seconds after sleep |