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title: Tasty Bytes Cortex Analyst Demo
emoji: π
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
Tasty Bytes Customer Analytics - Cortex Analyst Demo
This interactive demo showcases a natural language interface for customer data analytics built with Snowflake Cortex Analyst.
π― What This Demonstrates
Ask questions in plain English and get instant insights from customer loyalty data:
- "How many customers are in our loyalty program?"
- "Which countries have the most customers?"
- "Show me the top 10 customers by total sales"
- "What's the average sales per customer in each country?"
No SQL knowledge required! The AI understands your questions and generates the appropriate queries automatically.
ποΈ Architecture
This demo is built on:
- Data Layer: Snowflake TASTY_BYTES public dataset
- Semantic Layer: Native Snowflake Semantic View (business-friendly data definitions)
- AI Layer: Cortex Analyst (LLM-powered query understanding)
- Interface: Chat-based natural language interface
β οΈ Important Note
This HuggingFace Space is a demonstration and showcase only. The actual Cortex Analyst agent runs on Snowflake infrastructure, not within this Space.
To try the real thing:
- Get a Snowflake account (free trial available)
- Follow the setup instructions in the GitHub repository
- Complete setup in 20-30 minutes
π What You'll Find Here
- Demo Video: See Cortex Analyst in action
- Example Queries: Sample questions you can ask
- Sample Results: Real query outputs
- Architecture: How the system works
- Setup Guide: Build it yourself step-by-step
π Try It Yourself
GitHub Repository: tasty-bytes-cortex-analyst
The repository includes:
- Complete setup scripts
- Semantic view YAML definition
- Detailed documentation
- 50+ example queries
- Troubleshooting guide
π Dataset
Uses Snowflake's TASTY_BYTES sample dataset:
- 11,420+ customer loyalty members
- Geographic data (30+ countries)
- Sales transactions
- Location visit history
This is publicly available sample data - no real customer information.
π€ Author
Aaman Lamba
- Strategy Consultant & Author
- AI Governance & Data Economy Expert
- Former Senior Industry Principal, Infosys
Connect:
π License
MIT License - Free to use and modify
β Like this demo? Star the GitHub repository!
π Questions or issues? Open an issue