Update app.py

app.py

@@ -133,8 +133,7 @@ def main():
     ### How It Works
     This application compares various toxicity detection models to classify whether a given text is toxic or not. The models being compared include:
     
-    - **Tiny-Toxic-Detector**: A new 2M parameter model being released soon.
-    - [**Toxic-BERT**](https://huggingface.co/unitary/toxic-bert): A 109M parameter BERT-based model.
+    - [**Tiny-Toxic-Detector**](https://huggingface.co/AssistantsLab/Tiny-Toxic-Detector): A 2M parameter model with a new architecture released by [AssistantsLab](https://huggingface.co/AssistantsLab).
     - [**RoBERTa-Toxicity-Classifier**](s-nlp/roberta_toxicity_classifier): A 124M parameter RoBERTa-based model.
     - [**Toxic-Comment-Model**](https://huggingface.co/martin-ha/toxic-comment-model): A 67M parameter DistilBERT-based model.
     - [**ToxicChat-T5**](https://huggingface.co/lmsys/toxicchat-t5-large-v1.0): A 738M parameter T5-based model.