Delete app.py

app.py

@@ -1,57 +0,0 @@
-"""
-MediSync: Multi-Modal Medical Analysis System - Hugging Face Spaces Entry Point
-==============================================================================
-This is the main entry point for the Hugging Face Space deployment.
-"""
-
-import logging
-import os
-import sys
-from pathlib import Path
-
-# Configure logging
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-    handlers=[logging.StreamHandler()],
-)
-logger = logging.getLogger(__name__)
-
-# Add the current directory to Python path
-current_dir = Path(__file__).resolve().parent
-sys.path.append(str(current_dir))
-
-# Pre-download models (important for Hugging Face Spaces)
-try:
-    logger.info("Pre-downloading models for caching...")
-    from transformers import AutoModel, AutoModelForImageClassification, AutoTokenizer
-
-    # Set cache directory (HF Spaces specific)
-    os.environ["TRANSFORMERS_CACHE"] = os.path.join(os.getcwd(), "model_cache")
-    os.makedirs(os.environ["TRANSFORMERS_CACHE"], exist_ok=True)
-
-    # Medical vision model
-    vision_model_name = "facebook/deit-base-patch16-224-medical-cxr"
-    logger.info(f"Downloading vision model: {vision_model_name}")
-    AutoModelForImageClassification.from_pretrained(vision_model_name)
-
-    # Clinical BERT model
-    text_model_name = "medicalai/ClinicalBERT"
-    logger.info(f"Downloading text model: {text_model_name}")
-    AutoModel.from_pretrained(text_model_name)
-    AutoTokenizer.from_pretrained(text_model_name)
-
-    logger.info("All models downloaded and cached successfully!")
-except Exception as e:
-    logger.warning(f"Warning: Could not pre-download models: {e}")
-
-# Import and run the MediSync application
-from mediSync.app import create_interface
-
-# Create and launch the interface
-logger.info("Creating and launching the interface...")
-interface = create_interface()
-
-# For Hugging Face Spaces
-if __name__ == "__main__":
-    interface.launch()