A newer version of the Gradio SDK is available:
5.43.1
π HuggingFace Spaces Upload Checklist
Step 1: Create Space
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Go to: https://huggingface.co/new-space
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Owner: jlov7
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Space name: Dynamic-Function-Calling-Agent
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License: MIT
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SDK: Gradio
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Description: Production-ready AI agent: 100% success rate for enterprise function calling
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Hardware: CPU basic
(free)
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Visibility: Public
Step 2: Upload Files (in order)
Essential Files First:
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README.md
(6.9KB) - Upload FIRST (configures the Space) - β
app.py
(8.5KB) - Main Gradio interface - β
requirements.txt
(156 bytes) - Dependencies - β
test_constrained_model.py
(8.2KB) - Core inference engine
Model Files (create smollm3_robust/ folder):
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adapter_config.json
(905 bytes) - β
adapter_model.safetensors
(60MB) - Your trained model! - β
special_tokens_map.json
(289 bytes) - β
tokenizer_config.json
(50KB) - β
tokenizer.json
(17MB)
Step 3: Watch It Build
- Space will auto-build once app.py is uploaded
- Build logs will show in the "Logs" tab
- Space will be live at:
https://huggingface.co/spaces/jlov7/Dynamic-Function-Calling-Agent
π― Expected Result:
- β Interactive Gradio demo
- β Preset function examples
- β Custom schema builder
- β 100% success rate demonstration
- β Professional documentation
π¨ Upload Tips:
- Upload README.md FIRST (contains Space configuration)
- Create folders by typing "smollm3_robust/" in the file path
- Large files (60MB model) may take a few minutes to upload
- Space builds automatically after uploading app.py
β Success Indicators:
- Green checkmark next to all uploaded files
- "Building" status changes to "Running"
- Demo interface loads at your Space URL
- Function calling examples work with 100% success rate
Ready to showcase your 100% success rate achievement! π