A newer version of the Gradio SDK is available:
6.1.0
πͺ ΧΧ¨ΧΧΧͺ - Startup Guide
π Quick Start (Fixed!)
The app is now fixed and has multiple reliable startup options:
Option 1: One-Command Startup (Recommended)
python run_local.py
Option 2: Direct Simple App
python simple_app.py
Option 3: Main App (Advanced)
python app.py
β What Was Fixed
1. Static Response Problem β Dynamic Hebrew Personas
- Before: English gibberish like ", unlawJewsIsrael"
- After: Rich Hebrew responses like "ΧΧ Χ ΧΧ Χ, ΧΧ§ΧΧ ΧΧΧΧ§ΧΧ¨ΧͺΧ Χ©ΧΧ. Χ©ΧΧ’ΧͺΧ ΧΧ Χ©ΧΧΧ¨Χͺ..."
2. Local Running Issues β Robust Startup System
- Before: Gradio schema errors causing crashes
- After: Multiple fallback options, reliable startup
3. Environment Inconsistency β Unified Experience
- Before: Different behavior locally vs HF Spaces
- After: Same experience everywhere
π― How It Works Now
Template-Based Response System
Each of the 5 personas has multiple response templates:
- ΧΧ§ΧΧ ΧΧΧΧ§ΧΧ¨ΧͺΧ (The Critic): Challenging, analytical responses
- ΧΧΧΧ/Χ ΧΧ€Χ ΧΧΧΧͺ (Inner Child): Vulnerable, emotional responses
- ΧΧΧ¨Χ¦Χ (The Pleaser): Harmony-seeking, conflict-avoiding responses
- ΧΧΧΧ (The Protector): Strong, defensive responses
- ΧΧ ΧΧ Χ’/Χͺ (The Avoider): Hesitant, withdrawal-oriented responses
Smart Context Adaptation
- Responses adapt to emotional keywords (Χ€ΧΧ, ΧΧ’Χ‘, etc.)
- Remembers initial user context
- Builds on conversation history
- Uses personalized names when provided
π§ Troubleshooting
If python run_local.py fails:
# Try direct simple app
python simple_app.py
# Check dependencies
pip install -r requirements.txt
# Specific Gradio version if needed
pip install gradio==4.44.0
Common Issues & Solutions:
Port Already in Use:
- The script automatically finds available ports
- Starts from 7861 and searches upward
Gradio Schema Errors:
- Fixed by disabling API schema generation
- All startup scripts now include
show_api=False
Model Loading Issues:
- App now works completely without models
- Template-based responses are the primary system
- Model enhancement is optional bonus
Virtual Environment Issues:
# Create new venv if needed
python -m venv venv
source venv/bin/activate # On macOS/Linux
pip install -r requirements.txt
π Deployment to HF Spaces
Upload these files to your HF Space:
app.py(main application)requirements.txt(fixed dependencies)prompt_engineering.py(personas)conversation_manager.py(session management)README.md(documentation)
The Space will automatically run app.py and work identically to local.
π§ͺ Testing Your Setup
Run the test script to verify everything works:
python test_startup.py
Expected output:
β
All tests passed! The app should work with run_local.py
π Success Indicators
When working correctly, you should see:
- β Hebrew interface loads properly
- β All 5 personas are selectable
- β Responses are in Hebrew with proper context
- β Conversations flow naturally
- β Status shows "ΧΧ’Χ¨ΧΧͺ ΧͺΧΧΧΧΧͺ ΧΧΧͺΧΧΧͺ ΧΧΧ©ΧΧͺ Χ€Χ’ΧΧΧ"
π‘ Tips for Best Experience
- Fill in the initial context - helps personalize responses
- Try different personas - each has unique personality
- Use custom names - makes conversations more personal
- Ask emotional questions - responses adapt to emotional content
π Development Workflow
- Local Development: Use
python run_local.py - Testing: Use
python simple_test.pyfor model testing - Deployment: Upload to HF Spaces
- Debugging: Check logs for specific error messages
πͺ Your ΧΧ¨ΧΧΧͺ app is now fully functional with authentic Hebrew personas! πͺ