Update backendapi.py

backendapi.py

@@ -162,8 +162,8 @@ def predict():
         # Generate explanation using Gemini AI
         explanation = generate_explanation(predicted_class)
         prediction_results = {}
+        prediction_id = str(time.time())  # Unique ID for the request
         if confidence_level<=30:
-            prediction_id = str(time.time())  # Unique ID for the request
             prediction_results[prediction_id] = {
             "predicted_class": "---",
             "conservation_status": "---",
@@ -172,7 +172,6 @@ def predict():
         }
         else:        
         # Store the result in the in-memory dictionary
-            prediction_id = str(time.time())  # Unique ID for the request
             prediction_results[prediction_id] = {
                 "predicted_class": predicted_class,
                 "conservation_status": conservation_status,