Goog cr lf

app.py

@@ -18,11 +18,11 @@ langs.extend(list(all_langs.keys())) # Language options as list, add favourite l
 # all_langs = languagecodes.iso_languages_byname
 
 def timer(func):
-    import time
+    from time import time
     def wrapper(*args, **kwargs):
-        start_time = time.time()
+        start_time = time()
         translated_text, message_text = func(*args, **kwargs)
-        end_time = time.time()
+        end_time = time()
         execution_time = end_time - start_time
         # print(f"Function {func.__name__!r} executed in {execution_time:.4f} seconds.")
         message_text = f'Executed in {execution_time:.2f} seconds! {message_text}' 
@@ -57,10 +57,13 @@ class Translators:
         self.input_text = input_text
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         
-    def google(self):  
+    def google(self):
+        # for rep in ('\r\n', '\r', '\n', '  '):
+        #     self.input_text = self.input_text.replace(rep, ' ')
+        self.input_text = " ".join(self.input_text.split())
         url = os.environ['GCLIENT'] + f'sl={self.sl}&tl={self.tl}&q={self.input_text}'
         response = httpx.get(url)
-        return response.json()[0][0][0]
+        return response.json()[0][0][0].strip()
 
     def mitre(self):
         from transformers import AutoModel, AutoTokenizer