Update app.py

app.py

@@ -4,6 +4,20 @@ from transformers import pipeline
 clf = pipeline("text-classification", model="afridi15/customer-support-intents")
 
 def predict(text):
-    return clf(text)
+    result = clf(text)[0]  # {'label': 'LABEL_3', 'score': 0.85}
 
-gr.Interface(fn=predict, inputs="text", outputs="text").launch()
+    return {
+        "label": result["label"],
+        "score": float(result["score"])
+    }
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Intent Classifier API")
+    
+    input_box = gr.Textbox(label="Message")
+    output_box = gr.JSON(label="Prediction")
+
+    input_box.submit(predict, inputs=input_box, outputs=output_box)
+
+demo.queue(False)   # 🚀 Disable queue mode → NO event_id, instant JSON
+demo.launch()