Update app.py

app.py

@@ -31,7 +31,7 @@ with gr.Blocks() as demo:
             gr.Markdown(
                 """
                 # ***WhiStress***: Enriching Transcriptions with Sentence Stress Detection
-                The WhiStress model allows you to detect important words in your speech.
+                WhiStress allows you to detect emphasized words in your speech.
                 
                 Check out our paper: 📚 [***WhiStress***](https://arxiv.org/)
                 
@@ -42,8 +42,8 @@ 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/slprl/TinyStress-15K),
-                that is derived from [tinyStories](https://huggingface.co/datasets/roneneldan/TinyStories) dataset.
+                WhiStress was trained using [***TinyStress-15K***](https://huggingface.co/datasets/slprl/TinyStress-15K),
+                that is derived from the [tinyStories](https://huggingface.co/datasets/roneneldan/TinyStories) dataset.
 
                 ## Inference Demo
                 Upload an audio file or record your own voice to transcribe the speech and emphasize the important words.