Update app.py

app.py

@@ -2,15 +2,10 @@
 import gradio as gr
 from transformers import pipeline
 
-# ---------------------------------------------------------------------------
-# Load the model — update this to your Hub repo ID after pushing
-# ---------------------------------------------------------------------------
-MODEL_ID = "dk409/emotion-roberta" for Hub
+MODEL_ID = "dk409/emotion-roberta"
 classifier = pipeline("text-classification", model=MODEL_ID, top_k=None)
 
-# ---------------------------------------------------------------------------
 # Prediction function
-# ---------------------------------------------------------------------------
 def classify_emotion(text):
     """
     Run the classifier and return a dict of {label: score} for Gradio's Label component.
@@ -22,9 +17,8 @@ def classify_emotion(text):
     results = classifier(text)[0]  # list of {"label": ..., "score": ...}
     return {r["label"]: r["score"] for r in results}
 
-# ---------------------------------------------------------------------------
+
 # Gradio interface
-# ---------------------------------------------------------------------------
 examples = [
     "I'm so happy to see you after all these years!",
     "This is absolutely terrifying, I can't watch.",