Update app.py

app.py

@@ -31,9 +31,9 @@ async def predict(model: UploadFile = File(...), data: str = None):
         print(data)
         # Process the data
         predictions = model.predict(ds_normalized.reshape(1, 12, 1)).tolist()
-        predictions_rescaled = scaler.inverse_transform(predictions).flatten()  
+        predictions_rescaled = scaler.inverse_transform(predictions).flatten().tolist()  
 
-        return {"predictions": str(predictions_rescaled)}
+        return {"predictions": predictions_rescaled}
 
     except Exception as e:
         print(traceback.format_exc())