Update app/__init__.py

app/__init__.py

@@ -1,77 +1,77 @@
-import os 
-from flask import Flask, request
-from config import Config
-from ml.loader import load_model
-from app.utils.helper import resource_path
-
-import logging
-from logging.handlers import RotatingFileHandler
-
-
-def create_app():
-    """Application factory - Create and configures the flask app""" 
-
-    # 1. Creates flask app with correct paths
-    app = Flask(__name__,
-                template_folder=resource_path('app/templates'),
-                static_folder=resource_path('app/static')
-            )
-    
-    # Simple Logging Middleware
-    if not os.path.exists("logs"):
-        os.mkdir("logs")
-
-    handler = RotatingFileHandler('logs/app.log', maxBytes=100000, backupCount=3)
-    handler.setLevel(logging.INFO)
-
-    formatter = logging.Formatter(
-        "%(asctime)s - %(levelname)s - %(message)s"
-    )
-    handler.setFormatter(formatter)
-
-    app.logger.setLevel(logging.INFO)
-    app.logger.addHandler(handler)
-
-
-    @app.before_request
-    def log_request():
-        app.logger.info(
-            f"REQUEST: {request.method} {request.path} | IP={request.remote_addr}"
-        )
-
-    @app.after_request
-    def log_response(response):
-        app.logger.info(
-            f"RESPONSE: {response.status} for {request.method} {request.path}"
-        )
-        return response
-
-    app.secret_key = os.urandom(24)  # Secure key for sessions and flash messages
-
-
-    # 2. Load configuration
-    config = Config()
-    app.config["APP_CONFIG"] = config 
-
-
-    # 3. Load ML Model ONCE
-    app.model = load_model(config)
-
-    if app.model is None:
-        print("Error: Model could not be loaded.")
-    
-    # 4. Register Blueprints
-
-    from app.routes.page_routes import static_bp
-    from app.routes.coordinate_routes import coordinate_bp
-    from app.routes.predictions_routes import prediction_bp
-
-    app.register_blueprint(static_bp)
-    app.register_blueprint(coordinate_bp)
-    app.register_blueprint(prediction_bp)
-
-    # 5. Return app
-    return app
-
-    
-
+import os 
+from flask import Flask, request
+from app.config import Config
+from ml.loader import load_model
+from app.utils.helper import resource_path
+
+import logging
+from logging.handlers import RotatingFileHandler
+
+
+def create_app():
+    """Application factory - Create and configures the flask app""" 
+
+    # 1. Creates flask app with correct paths
+    app = Flask(__name__,
+                template_folder=resource_path('app/templates'),
+                static_folder=resource_path('app/static')
+            )
+    
+    # Simple Logging Middleware
+    if not os.path.exists("logs"):
+        os.mkdir("logs")
+
+    handler = RotatingFileHandler('logs/app.log', maxBytes=100000, backupCount=3)
+    handler.setLevel(logging.INFO)
+
+    formatter = logging.Formatter(
+        "%(asctime)s - %(levelname)s - %(message)s"
+    )
+    handler.setFormatter(formatter)
+
+    app.logger.setLevel(logging.INFO)
+    app.logger.addHandler(handler)
+
+
+    @app.before_request
+    def log_request():
+        app.logger.info(
+            f"REQUEST: {request.method} {request.path} | IP={request.remote_addr}"
+        )
+
+    @app.after_request
+    def log_response(response):
+        app.logger.info(
+            f"RESPONSE: {response.status} for {request.method} {request.path}"
+        )
+        return response
+
+    app.secret_key = os.urandom(24)  # Secure key for sessions and flash messages
+
+
+    # 2. Load configuration
+    config = Config()
+    app.config["APP_CONFIG"] = config 
+
+
+    # 3. Load ML Model ONCE
+    app.model = load_model(config)
+
+    if app.model is None:
+        print("Error: Model could not be loaded.")
+    
+    # 4. Register Blueprints
+
+    from app.routes.page_routes import static_bp
+    from app.routes.coordinate_routes import coordinate_bp
+    from app.routes.predictions_routes import prediction_bp
+
+    app.register_blueprint(static_bp)
+    app.register_blueprint(coordinate_bp)
+    app.register_blueprint(prediction_bp)
+
+    # 5. Return app
+    return app
+
+    
+