Update app.py

app.py

@@ -12,7 +12,7 @@ import re
 from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification
 
 # ── Load model from HuggingFace Hub ──
-MODEL_ID = "Ahmadjunaid/tweet_sentiment_distilbert"
+MODEL_ID = "Ahmadjunaid/tweet-sentiment-distilbert"
 
 tokenizer = DistilBertTokenizerFast.from_pretrained(MODEL_ID)
 model     = DistilBertForSequenceClassification.from_pretrained(MODEL_ID)
@@ -226,7 +226,7 @@ with gr.Blocks(css=CSS, title="Tweet Sentiment Analysis") as demo:
 
         with gr.Column(scale=2):
             result_out   = gr.Textbox(label="Prediction", elem_classes=["output-text"])
-            bar_out      = gr.Label(label="Confidence Scores (%)")
+            bar_out      = gr.Json(label="Confidence Scores (%)")
             cleaned_out  = gr.Textbox(label="Cleaned Input (what the model sees)", lines=2)
 
     gr.HTML('<div class="footer-note">Model: DistilBERT · Dataset: Sentiment140 · Technique: Fine-tuning · Split: 80/20</div>')