Update app.py

app.py

@@ -11,7 +11,7 @@ HF_TOKEN = os.getenv("HF_TOKEN")
 if HF_TOKEN is None:
     raise ValueError("Hugging Face token not found. Please set the HF_TOKEN secret in your Space settings.")
 
-MODEL_ID = "breadlicker45/bilingual-large-gender-v4-test"
+MODEL_ID = "breadlicker45/bilingual-base-gender-v4.1-test"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 print(f"Using device: {device}")
 
@@ -60,7 +60,7 @@ def classify_gender(text: str) -> dict:
 
 DESCRIPTION = """
 ## Bilingual Gender Classifier 
-This is a demo for the private model `breadlicker45/bilingual-large-gender-v4-test`.
+This is a demo for the model `bilingual-base-gender-v4.1-test`.
 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.
 """