Update app.py

app.py

@@ -1,13 +1,17 @@
 import gradio as gr
 from transformers import pipeline
 
+# Load your model with full label scoring
 model = "VerifiedPrompts/CNTXT-Filter-Prompt-Opt"
-classifier = pipeline("text-classification", model=model)
+classifier = pipeline("text-classification", model=model, return_all_scores=True)
 
 def classify(prompt):
-    result = classifier(prompt)[0]
-    return f"{result['label']} (score: {round(result['score'], 3)})"
+    results = classifier(prompt)[0]  # list of all label scores
+    for r in results:
+        print(f"{r['label']} → {round(r['score'], 3)}")  # optional log
+    return "\n".join([f"{r['label']}: {round(r['score'], 3)}" for r in results])
 
+# Gradio UI
 demo = gr.Interface(
     fn=classify,
     inputs="textbox",