A sophisticated Reddit feedback analysis tool with AI-powered insights, featuring a modern dark glassmorphism UI with liquid design elements.

• Reddit Scraping: Automated data collection from subreddits with resumable scraping
• RAG System: Advanced semantic search with persistent embeddings
• AI Chat Interface: Real-time streaming responses powered by GPT-3.5
• Smart Indexing: Incremental embedding updates for new data

• Dark Glassmorphism Design: Modern glass effects with backdrop blur
• Liquid Animations: Smooth, organic animations throughout
• Real-time Streaming: Live AI responses with typing indicators
• Responsive Layout: Fully adaptive design for all screen sizes

• Python 3.8+
• Node.js 18+
• Reddit API credentials
• OpenAI API key

1. Navigate to backend directory:

cd backend

2. Install dependencies:

pip install -r requirements.txt

3. Create .env file:

REDDIT_CLIENT_ID=your_reddit_client_id
REDDIT_CLIENT_SECRET=your_reddit_client_secret
REDDIT_USER_AGENT=your_app_name

4. Start the backend:

uvicorn main:app --reload --port 8000

1. Navigate to frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Create .env.local file:

OPENAI_API_KEY=your_openai_api_key
NEXT_PUBLIC_BACKEND_URL=http://127.0.0.1:8000

4. Start the frontend:

npm run dev

curl -X POST http://localhost:8000/bulk_scrape/patreon

Simply type your question in the chat interface:

• "What are the common complaints about Patreon?"
• "What features do users want most?"
• "How do creators feel about monetization?"

• FastAPI: High-performance API framework
• PRAW: Reddit API wrapper for data collection
• SentenceTransformers: State-of-the-art embeddings
• RAG Manager: Custom embedding persistence system

• Next.js 15: React framework with App Router
• Vercel AI SDK: Streaming AI responses
• Tailwind CSS: Utility-first styling
• React Markdown: Rich text rendering

• Background: #0a0a0a (Deep black)
• Glass: rgba(255, 255, 255, 0.05-0.1)
• Accent: Blue to purple gradient
• Text: High contrast whites and grays

• Backdrop blur for glass panels
• Smooth animations with cubic bezier
• Glow effects on interactive elements
• Liquid morphing animations

• POST /bulk_scrape/{subreddit} - Scrape subreddit data
• POST /query - Query the RAG system
• GET /rag/stats - Get indexing statistics
• POST /rag/refresh - Manually refresh embeddings
• GET /health - Health check

• Embedding Persistence: Cached embeddings for instant queries
• Incremental Updates: Only process new data
• Streaming Responses: Real-time AI output
• Optimized Animations: GPU-accelerated CSS transforms

1. Streaming not working: Ensure CORS is enabled and using fetch API
2. No embeddings found: Run scraper first to collect data
3. Slow responses: Check if embeddings are persisted properly

# Check backend health
curl http://localhost:8000/health

# View RAG statistics
curl http://localhost:8000/rag/stats

# Refresh embeddings
curl -X POST http://localhost:8000/rag/refresh

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License.

Built with ❤️ using modern web technologies and AI