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Download README.md from SKENAI-NET/README: direct link, hf CLI and curl.
- Browser
- Download file 1.3 kB
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https://huggingface.co/spaces/SKENAI-NET/README/resolve/main/README.md
- Command line
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hf download hf://spaces/SKENAI-NET/README/README.md
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curl -L -o README.md https://huggingface.co/spaces/SKENAI-NET/README/resolve/main/README.md
1.3 kB
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
- Select an event type from the dropdown
- Enter event content in the text box
- Submit to see how the SKENAI-RENO pipeline would process and enrich your event
- Explore the analytics tab to view performance metrics
Running Locally
To run this demo locally:
pip install -r requirements.txt
python app.py
Deploying to Hugging Face Spaces
- Create a new Space at huggingface.co/new-space
- Select Gradio as the SDK
- Upload these files to your Space
- (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