diff --git a/tools/analyse-short-astro-text/Untitled.py b/tools/analyse-short-astro-text/Untitled.py
deleted file mode 100644
index 609e705..0000000
--- a/tools/analyse-short-astro-text/Untitled.py
+++ /dev/null
@@ -1,35 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-_galaxy_wd = os.getcwd()
-
-with open("inputs.json", "r") as fd:
- inp_dic = json.load(fd)
-if "_data_product" in inp_dic.keys():
- inp_pdic = inp_dic["_data_product"]
-else:
- inp_pdic = inp_dic
-
-# flake8: noqa
-
-import json
-import os
-
-from pipeline_ra_dec import rule_based_ra_dec_detector
-
-text = "The candidate Be/X-ray Binary system RX J0032.9-7348 (ATEL #16880) has been detected in 2 observations conducted by the Swift SMC Survey (S-CUBED) over the past month. This system was first detected by S-CUBED on 22 October 2024 with a 0.3-10 keV band flux of 1.46 x 10^-11 erg/cm^2/s. The most recent detection, obtained by Swift on 11 November 2024, shows that the source has since brightened to a 0.3-10 keV flux of 2.77 x 10^-11 erg/cm^2/s. The time-averaged spectrum of both observations is best fit to an absorbed power law with a photon index of 0.7 (+0.5, -0.4) and a column density of NH = 4.2 (+29.9, - 4.2) x 10^20 cm^-2.Using S-CUBED data, we can refine the localization of this source to a new position of: R.A. = 00:32:59.30 (8.22459d), Dec. = -73:48:28.1 (-73.8078d) with a 90% confidence error region of 4.3 arc-seconds. This new position places RX J0032.9-7348 within 5â of two early-type stars. One of these stars is the B0.5V star GSC 09141-01338 (Evans et al., 2004). The other is marked as Object 1 in Figure 1a of Stevens el al. (1999), where it is observed to have an emission feature that corresponds to the Balmer Series Hydrogen alpha line. However, those authors were searching a large ROSAT error region and warned that there were many such H-alpha emitters in the region. At this time, the exact optical counterpart cannot be determined. Further observations are required to distinguish between the two stars. "
-text_id = "16900"
-
-rule_based_ra_dec_detector(text_id, text)
-
-from astropy import units as u
-from astropy.coordinates import SkyCoord
-
-SkyCoord(ra="00:32:59.30", dec="-73:48:28.1", unit=(u.hourangle, u.deg))
-
-# output gathering
-_galaxy_meta_data = {}
-
-with open(os.path.join(_galaxy_wd, "galaxy.json"), "w") as fd:
- json.dump(_galaxy_meta_data, fd)
-print("*** Job finished successfully ***")
diff --git a/tools/analyse-short-astro-text/analyse_short_astro_text_astro_tool.xml b/tools/analyse-short-astro-text/analyse_short_astro_text_astro_tool.xml
index 2b35975..18233b4 100644
--- a/tools/analyse-short-astro-text/analyse_short_astro_text_astro_tool.xml
+++ b/tools/analyse-short-astro-text/analyse_short_astro_text_astro_tool.xml
@@ -18,67 +18,29 @@
ipython
- python '$__tool_directory__/${_data_product._selector}.py'
+ python '$__tool_directory__/extract_data_predict_workflow.py'
-
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- _data_product['_selector'] == 'extract_data_predict_workflow'
-
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- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
-
- _data_product['_selector'] == 'extract_data_predict_workflow'
-
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