Update app.py

app.py

@@ -6,7 +6,7 @@ from transformers import pipeline
 import langid
 from huggingface_hub import login
 import socket
-
+import  time
 
 # Global variables
 HF_HUB_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
@@ -26,9 +26,10 @@ english_generator = pipeline("text-generation", model="distilgpt2")
 # Function to detect language
 def detect_language(user_input):
     try:
+        current_time = time.gmtime().tm_hour+2, ":" , time.gmtime().tm_min , ":" , time.gmtime().tm_sec
        # lang = detect(user_input)
         lang, _ = langid.classify(user_input) # langid.classify returns a tuple (language, confidence)
-        print(f"Detected language: {lang}") 
+        print(f"Detected language: {lang}", f"current time: {current_time}") 
         return "hebrew" if lang == "he" else "english" if lang == "en" else "unsupported"
     except Exception as e:
         print(f"Language detection error: {e}")
@@ -47,16 +48,16 @@ def detect_language(user_input):
 
 def generate_response(text):
     language = detect_language(text)
-    print(f"Detected language: {language}")  # Debugging
+    print(f"Detected language: {language}", f"current time: {current_time}")  # Debugging
 
     if language == "hebrew":
         output = hebrew_generator(text, max_length=100, truncation=True)
-        print(f"Hebrew model output: {output}")  # Debugging
+        print(f"Hebrew model output: {output}", f"current time: {current_time}")  # Debugging
         return output[0]["generated_text"]
     
     elif language == "english":
         output = english_generator(text, max_length=100, truncation=True)
-        print(f"English model output: {output}")  # Debugging
+        print(f"English model output: {output}", f"current time: {current_time}")  # Debugging
         return output[0]["generated_text"]
     
     return "Sorry, I only support Hebrew and English."