Update app.py

app.py

@@ -11,7 +11,9 @@ import  time
 # Global variables
 HF_HUB_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
 
-
+def current_time_gmt():
+    return time.gmtime().tm_hour+2,':',time.gmtime().tm_min,':',time.gmtime().tm_sec
+    
 # Verify Hugging Face token
 if not HF_HUB_TOKEN:
      raise ValueError("Missing Hugging Face API token. Please set HUGGINGFACEHUB_API_TOKEN in environment variables.")
@@ -26,10 +28,9 @@ 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}, ", f"current time: {current_time}") 
+        print(f"Detected language: {lang}, ", f"current time: {current_time_gmt()}") 
         return "hebrew" if lang == "he" else "english" if lang == "en" else "unsupported"
     except Exception as e:
         print(f"Language detection error: {e}")
@@ -48,17 +49,16 @@ def detect_language(user_input):
 
 def generate_response(text):
     language = detect_language(text)
-    current_time = time.gmtime().tm_hour+2, ":" , time.gmtime().tm_min , ":" , time.gmtime().tm_sec
-    print(f"Detected language: {language}, ", f"current time: {current_time}")  # Debugging
+    print(f"Detected language: {language}, ", f"current time: {current_time_gmt()}")  # Debugging
 
     if language == "hebrew":
         output = hebrew_generator(text, max_length=100, truncation=True)
-        print(f"Hebrew model output: {output}, ", f"current time: {current_time}")  # Debugging
+        print(f"Hebrew model output: {output}, ", f"current time: {current_time_gmt()}")  # Debugging
         return output[0]["generated_text"]
     
     elif language == "english":
-        output = english_generator(text, max_length=100, truncation=True)
-        print(f"English model output: {output}, ", f"current time: {current_time}")  # Debugging
+        output = english_generator(text, max_length=50, truncation=True)
+        print(f"English model output: {output}, ", f"current time: {current_time_gmt()}")  # Debugging
         return output[0]["generated_text"]
     
     return "Sorry, I only support Hebrew and English."