Update app.py

app.py

@@ -10,9 +10,16 @@ from transformers import pipeline
 from sklearn.metrics import precision_score, recall_score, f1_score
 import requests
 from datasets import load_dataset
+import os
+
+# --- Ensure chat_log.txt exists ---
+log_file = "chat_log.txt"
+if not os.path.exists(log_file):
+    with open(log_file, 'w') as f:
+        pass  # Just create the file
 
 # --- Logging Setup ---
-logging.basicConfig(filename="chat_log.txt", level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
+logging.basicConfig(filename=log_file, level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
 logging.debug("Logging setup complete.")
 
 # Load the model
@@ -183,8 +190,8 @@ body {
 
     def update_logs(logs_display):
         while True:
-            with open("chat_log.txt", "r") as log_file:
-                logs = log_file.readlines()
+            with open(log_file, "r") as log_file_handler:
+                logs = log_file_handler.readlines()
                 logs_display.value = "".join(logs[-10:])  # Display last 10 lines
             time.sleep(1)  # Update every 1 second