SpeechT5_hy / docs /DEPLOYMENT_FIX_SUMMARY.md
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feat: Implement project organization plan and optimize TTS deployment
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HuggingFace Spaces Deployment Fix

Issues Identified and Fixed

1. Gradio JSON Schema Error

Error: TypeError: argument of type 'bool' is not iterable

Root Cause: The error occurred in Gradio's JSON schema processing when trying to check if "const" in schema: where schema was a boolean instead of a dictionary.

Fixes Applied:

  • Updated Gradio version to a more stable release (4.20.0)
  • Simplified the interface using gr.Interface instead of complex gr.Blocks
  • Disabled example caching (cache_examples=False)
  • Disabled flagging (allow_flagging="never")
  • Removed share=True parameter (not supported on HF Spaces)

2. Import and Dependency Issues

Fixes Applied:

  • Added robust fallback import system
  • Created dummy pipeline for testing when imports fail
  • Improved error handling throughout the application
  • Added proper sys.path management for src imports

3. HuggingFace Spaces Compatibility

Fixes Applied:

  • Set share=False (share links not supported on HF Spaces)
  • Used standard server configuration (0.0.0.0:7860)
  • Simplified interface structure
  • Added proper error boundaries

Files Modified

  1. app.py - Main deployment file with robust error handling
  2. app_deploy.py - Clean deployment version
  3. app_simple.py - Simplified alternative
  4. requirements.txt - Updated Gradio version
  5. deploy.py - Enhanced deployment script

Deployment Steps

  1. Test Locally (optional):

    python app.py
    
  2. Deploy to HuggingFace Spaces:

    git add .
    git commit -m "Fix Gradio schema errors and improve compatibility"
    git push
    

Key Changes Made

App Structure

  • Switched from gr.Blocks to gr.Interface for better compatibility
  • Simplified input/output definitions
  • Removed complex state management

Error Handling

  • Added comprehensive try-catch blocks
  • Created fallback pipeline for testing
  • Improved logging throughout

Dependencies

  • Pinned Gradio to stable version
  • Maintained all core ML dependencies
  • Added proper import fallbacks

Configuration

  • Disabled problematic features (share, caching, flagging)
  • Set proper server configuration for HF Spaces
  • Simplified launch parameters

Testing the Fix

The fixed version should:

  1. βœ… Load without JSON schema errors
  2. βœ… Handle import failures gracefully
  3. βœ… Work on HuggingFace Spaces infrastructure
  4. βœ… Provide fallback functionality when models fail to load
  5. βœ… Display proper error messages to users

Backup Files

  • app_original.py - Your original application
  • app_optimized.py - The optimized version (fixed)
  • app_simple.py - Simplified version
  • app_deploy.py - Final deployment version

If Issues Persist

  1. Check HuggingFace Spaces logs for specific errors
  2. Verify all dependencies are properly installed
  3. Test with the simple version (app_simple.py)
  4. Contact HF support if infrastructure issues persist

The main fix addresses the Gradio JSON schema error by simplifying the interface structure and using compatible Gradio features.