Update app.py

app.py

@@ -7,6 +7,7 @@ model_dict = {
     "CNN": CNNDetector,
     "fastText": FasttextDetector,
 }
+num_text_process_limit = 10
 default_model = "fastText"
 scenario_number = ["1", "2", "3", "4", "5", "6"]
 string_seperator = "|||"
@@ -22,8 +23,8 @@ def process_single_text(
 ):
     # Split input
     prediction_input = text_input.split(string_seperator)
-    if len(prediction_input) > 100:
-        prediction_input = prediction_input[:100]
+    if len(prediction_input) > num_text_process_limit:
+        prediction_input = prediction_input[:num_text_process_limit]
         
     # Checking and finalizing scneario number
     if not isinstance(scenario_number_choose, int):
@@ -65,7 +66,7 @@ with gr.Blocks() as demo:
     with gr.Column():
         input_text = gr.Textbox(
             label="Input Text",
-            info=f"Text to determine wether headline or not. For multiple input you can divide each string by '{string_seperator}'. Maximum processed string is 100.",
+            info=f"Text to determine wether headline or not. For multiple input you can divide each string by '{string_seperator}'. Maximum processed string is {num_text_process_limit}.",
             lines=5,
             value="""Kami adalah|||\nseorang kapiten|||daitas kamu ada jurang|||\nDITEMUKAN PRIA DIATAS JURANG"""
         )