Update app.py

app.py

@@ -30,10 +30,10 @@ with gr.Blocks() as demo:
         with gr.Column(scale=2):
             gr.Markdown(
                 """
-                # WhiStress: Enriching Transcriptions with Sentence Stress Detection
+                # ***WhiStress***: Enriching Transcriptions with Sentence Stress Detection
                 The WhiStress model allows you to detect important words in your speech.
                 
-                Check out our paper: 📚 [WhiStress](https://arxiv.org/),
+                Check out our paper: 📚 [***WhiStress***](https://arxiv.org/)
                 
                 ## Architecture
                 The model is built on [Whisper](https://arxiv.org/abs/2212.04356) model,
@@ -42,7 +42,7 @@ with gr.Blocks() as demo:
                 WhiStress includes an additional decoder based classifier that predicts the stress label of each transcription token.
 
                 ## Training Data
-                The model was trained using [TinyStress-15K](https://huggingface.co/datasets/loud-whisper-project/tinyStories-audio-emphasized),
+                The model was trained using [***TinyStress-15K***](https://huggingface.co/datasets/slprl/TinyStress-15K),
                 that is derived from [tinyStories](https://huggingface.co/datasets/roneneldan/TinyStories) dataset.
 
                 ## Inference Demo