Update app.py

app.py

@@ -61,24 +61,15 @@ def classify_gender(text: str) -> dict:
 DESCRIPTION = """
 ## Bilingual Gender Classifier 
 This is a demo for the private model `breadlicker45/bilingual-large-gender-v4-test`.
-Enter a sentence in **English or Spanish**, and the model will predict whether the text has a male, female, or neutral connotation.
-**Disclaimer:** This model, like any AI, can have biases and may not always be accurate. It is intended for demonstration purposes.
+Enter a sentence and the model will predict whether the text has a male, female, or non-binary.
+**Disclaimer:** This model, like any AI, can have biases and may not always be accurate.
 """
 
 ARTICLE = """
-<div style='text-align: center;'>
-    <p>Model based on <a href='https://huggingface.co/xlm-roberta-large' target='_blank'>XLM-RoBERTa-Large</a>, fine-tuned for gender classification.</p>
-    <p>This is a private model, but you can find more public models on the <a href='https://huggingface.co/models' target='_blank'>Hugging Face Hub</a>.</p>
-</div>
 """
 
 examples = [
-    ["He went to the store to buy a new hammer."],
-    ["La doctora le recetó un medicamento a su paciente."],
-    ["The development team will present their findings tomorrow."],
-    ["My sister is the best programmer I know."],
-    ["El futbolista marcó el gol decisivo."],
-    ["The flight crew is preparing for takeoff."]
+    ["this is a test.] 
 ]
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
@@ -89,7 +80,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             text_input = gr.Textbox(
                 lines=5, 
                 label="Input Text", 
-                placeholder="Enter a sentence in English or Spanish here..."
+                placeholder="Enter a sentence in here..."
             )
             submit_btn = gr.Button("Classify Text", variant="primary")