app

app.py

@@ -5,16 +5,16 @@ def run_absa(review, model_choice):
     try:
         return predict_absa(review, model_choice)
     except Exception as e:
-        return f"❌ Error: {str(e)}"
+        return {"error": str(e)}   # JSON output for errors too
         
-#app
+# app
 demo = gr.Interface(
     fn=run_absa,
     inputs=[
         gr.Textbox(label="Arabic Review"),
         gr.Dropdown(choices=list(MODEL_OPTIONS.keys()), label="Choose Model", value="Araberta")
     ],
-    outputs=gr.Textbox(label="Extracted Aspect-Sentiment-Opinion Triplets"),
+    outputs=gr.JSON(label="Extracted Aspect-Sentiment-Opinion Triplets"),  # ✅ JSON viewer
     title="Arabic ABSA (Aspect-Based Sentiment Analysis)",
     description="Choose a model (Araberta, mT5, GPT) to extract aspects, opinions, and sentiment using LoRA adapters"
 )