fix_deployment.md

🔧 Quick Fix for HuggingFace Deployment

❌ Issue Identified

The build failed due to Pydantic v2 compatibility issues:

• BaseSettings moved to pydantic-settings package
• Config class syntax changed to model_config
• @validator changed to @field_validator

✅ Fixes Applied

1. Updated requirements.txt

+ pydantic-settings

2. Fixed app/core/config.py

- from pydantic import BaseSettings, Field
+ from pydantic import Field
+ from pydantic_settings import BaseSettings

- class Config:
-     env_file = ".env"
-     case_sensitive = False
+ model_config = {
+     "env_file": ".env", 
+     "case_sensitive": False
+ }

3. Fixed app/models/schemas.py

- from pydantic import BaseModel, Field, validator
+ from pydantic import BaseModel, Field, field_validator, ConfigDict

- @validator('role')
- def validate_role(cls, v):
+ @field_validator('role')
+ @classmethod
+ def validate_role(cls, v):

- class Config:
-     json_schema_extra = {...}
+ model_config = ConfigDict(
+     json_schema_extra={...}
+ )

🚀 Quick Deployment Fix

Option 1: Update Your Existing Space

1. Go to your HuggingFace Space: https://huggingface.co/spaces/sematech/sema-chat
2. Click "Files" tab
3. Update these files with the fixed versions:
   • requirements.txt
   • app/core/config.py
   • app/models/schemas.py

Option 2: Re-run Setup Script

cd backend/sema-chat
./setup_huggingface.sh

Then push the updated files to your Space.

Option 3: Manual Git Update

# Clone your space
git clone https://huggingface.co/spaces/sematech/sema-chat
cd sema-chat

# Copy fixed files
cp /path/to/sema/backend/sema-chat/requirements.txt .
cp /path/to/sema/backend/sema-chat/app/core/config.py app/core/
cp /path/to/sema/backend/sema-chat/app/models/schemas.py app/models/

# Commit and push
git add .
git commit -m "Fix Pydantic v2 compatibility issues

- Add pydantic-settings dependency
- Update BaseSettings import
- Fix Config class syntax
- Update validator decorators"
git push

🎯 Environment Variables for Gemma

Make sure these are set in your Space settings:

MODEL_TYPE=local
MODEL_NAME=google/gemma-2b-it
DEVICE=cpu
TEMPERATURE=0.7
MAX_NEW_TOKENS=256
DEBUG=false
ENVIRONMENT=production

Alternative (API-based):

MODEL_TYPE=google
MODEL_NAME=gemma-2-9b-it
GOOGLE_API_KEY=your_google_api_key_here
DEBUG=false
ENVIRONMENT=production

🧪 Test After Fix

Once the Space rebuilds successfully:

# Health check
curl https://sematech-sema-chat.hf.space/health

# Chat test
curl -X POST "https://sematech-sema-chat.hf.space/api/v1/chat" \
  -H "Content-Type: application/json" \
  -d '{"message": "Hello! Can you introduce yourself?", "session_id": "test"}'

📋 Build Status

• ❌ Before: Pydantic import errors
• ✅ After: Should build successfully with Pydantic v2

The fixes ensure compatibility with the latest Pydantic version while maintaining all functionality.

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Your Space should now deploy successfully! 🚀