finalizare 1.0

backend/Application/Endpoints/SicknessPrediction/SicknessPredictionScript.py

@@ -46,7 +46,6 @@ class DiseasePredictor:
         self.model.fit(self.X_train, self.y_train)  # X_train is a DataFrame with feature names
         logging.info(f"Training accuracy: {self.model.score(self.X_test, self.y_test):.2f}")
 
-
     def extract_features(self, text):
         logging.info("Extracting features from text")
 
@@ -118,7 +117,7 @@ class DiseasePredictor:
             if count == 3:
                 break
         # Return the JSON object
-        return json.dumps(json_output, indent=4)
+        return json.dumps(json_output)
 
 
 # Example usage:
@@ -127,11 +126,11 @@ if __name__ == "__main__":
     if len(sys.argv) != 2:
         logging.error("Incorrect number of arguments provided.")
         json_output = {
-                    "StatusCode": 400,
-                    "Message": "Incorrect number of arguments provided.",
-                    "Data": []
-                }
-        print(json.dumps(json_output, indent=4))
+            "StatusCode": 400,
+            "Message": "Incorrect number of arguments provided.",
+            "Data": []
+        }
+        print(json.dumps(json_output))
         sys.exit(1)
 
     logging.basicConfig(filename='disease_prediction.log', level=logging.INFO,