Update app.py

app.py

@@ -10,7 +10,7 @@ all_langs = {iso[0]: (iso[1], iso[2], iso[3]) for iso in non_empty_isos} # {'Rom
 iso1toall = {iso[1]: (iso[0], iso[2], iso[3]) for iso in non_empty_isos} # {'ro': ('Romanian', 'rum', 'ron')}
 DEFAULTS = None
   
-libraries = ["langdetect", "langid", "Argos", "HPLT", "HPLT-OPUS", "Google"]
+libraries = ["langdetect", "langid"]
 
 class Detect():
     def __init__(self, text: str) -> None:
@@ -60,7 +60,7 @@ def detect_language(input_text: str, used_libraries: list[str]) -> tuple[str, st
     
 with gr.Blocks() as interface:
     gr.Markdown("### Language Detection with Gradio API and MCP Server")
-    input_text = gr.Textbox(label="Enter text to detect:", placeholder="Type your text here, maximum 512 tokens",
+    input_text = gr.Textbox(label="Enter text to detect:", placeholder="Type/copy text here, maximum 512 tokens",
                             autofocus=True, submit_btn='Detect Language', max_length=512) 
     # with gr.Row(variant="compact"):
     #     detected_text = gr.Textbox(label="Detected language:", placeholder="Display field for detected language", interactive=False, buttons=["copy"], lines=1)
@@ -69,10 +69,10 @@ with gr.Blocks() as interface:
     used_libraries = gr.CheckboxGroup(choices=libraries, label="Detection libraries", info="Detection libraries")
     dataframe = gr.Dataframe(
             headers=["Language", "Score"],
-            datatype=["str", "float"],  # type: ignore
-            row_count=2,
-            column_count=3,
-            column_limits=(3, 3),
+            datatype=["str", "float"],  # type: array
+            row_count=len(libraries),
+            column_count=2,
+            column_limits=(2, 3),
         )
     input_text.submit(
     fn=detect_language,