Update app.py

app.py

@@ -34,11 +34,11 @@ except Exception as e:
 app = Flask(__name__)
 logging.info("Flask app initialized")
 
-# Salesforce credentials
-SF_USERNAME = os.getenv('SF_USERNAME', 'your_salesforce_username')
-SF_PASSWORD = os.getenv('SF_PASSWORD', 'your_salesforce_password')
-SF_SECURITY_TOKEN = os.getenv('SF_SECURITY_TOKEN', 'your_security_token')
-SF_INSTANCE_URL = os.getenv('SF_INSTANCE_URL', 'https://login.salesforce.com')
+# Salesforce credentials (hardcoded for testing)
+SF_USERNAME = "multi-devicelabopsdashboard@sathkrutha.com"
+SF_PASSWORD = "Team@1234"
+SF_SECURITY_TOKEN = "BXgWWNXjvc3zJmVv2O7JfBqCc"
+SF_INSTANCE_URL = "https://multi-devicelabopsdashboard-dev-ed.develop.my.salesforce.com"
 
 # Global variable for Salesforce connection
 sf = None
@@ -81,11 +81,11 @@ def connect_to_salesforce():
 def load_huggingface_model():
     global summarizer
     if summarizer is None:
-        logging.info("Loading Hugging Face model...")
+        logging.info("Loading Hugging Face model (t5-small)...")
         start_time = time.time()
         try:
             device = 0 if torch.cuda.is_available() else -1
-            summarizer = pipeline("summarization", model="t5-small", device=device)  # Use a smaller model
+            summarizer = pipeline("summarization", model="t5-small", device=device)
             logging.info(f"Hugging Face model loaded successfully in {time.time() - start_time:.2f} seconds on device: {'GPU' if device == 0 else 'CPU'}")
         except Exception as e:
             logging.error(f"Failed to load Hugging Face model: {str(e)}")