.

app.py

@@ -39,16 +39,15 @@ def predict_breed(image):
             return "❌ This model only supports Maize and Tomato leaf images.", {}
 
         output_lines = ["🌿 **Top 3 Predictions:**"]
-        bar_data = {"labels": [], "values": []}
+        confidence_scores = {}
 
         for i in top3_indices:
             class_name = labels[i].replace('_', ' ').upper()
             confidence = predictions[i] * 100
             output_lines.append(f"{class_name}: {confidence:.2f}%")
-            bar_data["labels"].append(class_name)
-            bar_data["values"].append(confidence)
+            confidence_scores[class_name] = float(f"{confidence:.2f}")
 
-        return "\n".join(output_lines), bar_data
+        return "\n".join(output_lines), confidence_scores
 
     except Exception as e:
         print("Prediction Error:", e)
@@ -57,7 +56,7 @@ def predict_breed(image):
 interface = gr.Interface(
     fn=predict_breed,
     inputs=gr.Image(type="pil", label="Upload Maize or Tomato Leaf Image"),
-    outputs=[gr.Text(label="Prediction"), gr.Bar(label="Confidence Scores")],
+    outputs=[gr.Text(label="Prediction"), gr.Label(label="Confidence Scores")],
     title="🌿 Hares: Maize & Tomato Disease Classifier",
     description="Upload an image of a maize or tomato leaf to identify possible diseases.",
 )