Fix: Use /data/models/finetuned for HF Spaces training

Changes:
- Updated all model paths from 'models/finetuned' to '/data/models/finetuned'
- Create /data/models/finetuned directory in Dockerfile
- Fixes Permission denied error on HF Spaces training

Files updated:
- app/routes/admin.py (2 locations)
- app/fine_tuning/model_manager.py
- Dockerfile (create models directory)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

Dockerfile

@@ -26,6 +26,9 @@ RUN mkdir -p /data && chmod 777 /data
 # Create cache directory for Hugging Face models
 RUN mkdir -p /data/.cache/huggingface && chmod -R 777 /data/.cache
 
+# Create models directory for fine-tuned models
+RUN mkdir -p /data/models/finetuned && chmod -R 777 /data/models
+
 # Create model cache in container (not in /data) to save persistent storage
 RUN mkdir -p /app/.cache && chmod -R 777 /app/.cache
 

app/fine_tuning/model_manager.py

@@ -29,8 +29,8 @@ class ModelManager:
                        (defaults to MODELS_DIR env var or './models/finetuned')
         """
         if models_dir is None:
-            # Use environment variable or local path
-            models_dir = os.getenv('MODELS_DIR', 'models/finetuned')
+            # Use environment variable or /data path for HF Spaces
+            models_dir = os.getenv('MODELS_DIR', '/data/models/finetuned')
         
         self.models_dir = models_dir
         self.base_model_name = "facebook/bart-large-mnli"

app/routes/admin.py

@@ -1088,7 +1088,7 @@ def _run_training_job(run_id: int, config: Dict):
             db.session.commit()
 
             # Train
-            models_dir = os.getenv('MODELS_DIR', 'models/finetuned')
+            models_dir = os.getenv('MODELS_DIR', '/data/models/finetuned')
             output_dir = os.path.join(models_dir, f'run_{run_id}')
 
             training_config = {
@@ -1656,7 +1656,7 @@ def import_model():
             db.session.commit()
             
             # Copy model to models directory
-            models_dir = os.getenv('MODELS_DIR', 'models/finetuned')
+            models_dir = os.getenv('MODELS_DIR', '/data/models/finetuned')
             destination_path = os.path.join(models_dir, f'run_{training_run.id}')
             
             shutil.copytree(model_dir, destination_path)