Update app.py

app.py

@@ -13,7 +13,7 @@ output_details = interpreter.get_output_details()
 
 # Class labels
 class_names = ['Dyskeratotic', 'Koilocytotic', 'Metaplastic', 'Parabasal', 'Superficial-Intermediat']
-CONFIDENCE_THRESHOLD = 0.7
+CONFIDENCE_THRESHOLD = 0.25
 
 def predict_image(image):
     try:
@@ -31,7 +31,7 @@ def predict_image(image):
         if confidence < CONFIDENCE_THRESHOLD:
             return f"⚠️ Low confidence ({confidence:.2f}). The model is unsure. Please try a clearer image."
         else:
-            return f"✅ Prediction: {class_names[class_idx]} (Confidence: {confidence:.2f})"
+            return f"✅ Prediction: {class_names[class_idx]}"
     except Exception as e:
         return f"Error: {str(e)}"