Delete timer

app.py

@@ -12,18 +12,6 @@ DEFAULTS = None
   
 libraries = ["langdetect", "langid", "Argos", "HPLT", "HPLT-OPUS", "Google"]
 
-def timer(func):
-    from time import time
-    def detection(input_text, used_libraries) -> tuple[str, str]:
-        start_time = time()
-        detected_lang, confidence = func(input_text, used_libraries)
-        end_time = time()
-        execution_time = end_time - start_time
-        # print(f"Function {func.__name__!r} executed in {execution_time:.2f} seconds.")
-        execution_times = f'Executed in {execution_time:.2f} seconds!' 
-        return [detected_lang, confidence, execution_times]
-    return detection
-
 class Detect():
     def __init__(self, text: str) -> None:
         self.text: str = text
@@ -41,7 +29,6 @@ class Detect():
         langcode, langecode_probabilities = result
         return langcode, round(number=langecode_probabilities * 10, ndigits=2)
 
-@timer
 def detect_language(input_text: str, used_libraries: list[str]) -> tuple[str, str]:
     """
     Detects the input text from the source language to the target language  using a specified model.
@@ -81,8 +68,8 @@ with gr.Blocks() as interface:
     #     execution_time = gr.Textbox(label="Execution time:", placeholder="Display field for execution time", interactive=False, lines=1)
     used_libraries = gr.CheckboxGroup(choices=libraries, label="Detection libraries", info="Detection libraries")
     dataframe = gr.Dataframe(
-            headers=["name", "age", "gender"],
-            datatype=["str", "float", "str"],  # type: ignore
+            headers=["Language", "Score"],
+            datatype=["str", "float"],  # type: ignore
             row_count=2,
             column_count=3,
             column_limits=(3, 3),