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| # SKENAI-RENO Event Processing Demo | |
| This interactive demo showcases SKENAI-RENO's AI-powered event processing capabilities for gaming and enterprise applications. | |
| ## What This Demo Shows | |
| - How different types of events are processed and enriched with AI insights | |
| - The serverless architecture in action (simulated) | |
| - Integration of Hugging Face models for real-time analysis | |
| - Key performance metrics and analytics | |
| ## How to Use | |
| 1. Select an event type from the dropdown | |
| 2. Enter event content in the text box | |
| 3. Submit to see how the SKENAI-RENO pipeline would process and enrich your event | |
| 4. Explore the analytics tab to view performance metrics | |
| ## Running Locally | |
| To run this demo locally: | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| ## Deploying to Hugging Face Spaces | |
| 1. Create a new Space at [huggingface.co/new-space](https://huggingface.co/new-space) | |
| 2. Select Gradio as the SDK | |
| 3. Upload these files to your Space | |
| 4. (Optional) Add your HF_API_KEY as a secret if you want to use actual model inference | |
| ## About SKENAI-RENO | |
| SKENAI-RENO is a fully serverless event processing pipeline designed for high-reliability, AI-enhanced insights, and seamless integration with existing systems. | |
| Learn more about our enterprise solutions at [skenai.net](https://skenai.net) | |