diff --git a/ner-tagger/v1/astro/find-astro.py b/ner-tagger/v1/astro/find-astro.py
new file mode 100755
index 0000000..f63c249
--- /dev/null
+++ b/ner-tagger/v1/astro/find-astro.py
@@ -0,0 +1,51 @@
+# -*- coding: utf-8 -*-
+
+import sys
+import json
+from flair.models import SequenceTagger
+from flair.data import Sentence
+from unidecode import unidecode  
+import logging
+
+logging.getLogger('flair').handlers[0].stream = sys.stderr
+
+def data_normalization(sentence):
+    cpy_sentence = sentence.lower()
+    return cpy_sentence
+tagger = SequenceTagger.load("model.pt")
+
+for line in sys.stdin:
+    data = json.loads(line)
+    text=data['value']
+    PL = []
+    TNQ = []
+    SNAT = []
+    OA = []
+    SSO = []
+    EB = []
+    ET = []
+    NRA = []
+    CST = []
+    GAL = []
+    AST = []
+    ST = []
+    AS = []
+    SN = []
+    XPL = []
+    SR = []
+    sent = data_normalization(text)
+    sentS = sent.split(".")
+    sentences = [Sentence(sentS[i]+".") for i in range(len(sentS))]
+    tagger.predict(sentences)
+    label_lists = {"PL": PL,"TNQ": TNQ,"SNAT": SNAT,"OA": OA,"SSO": SSO,"EB": EB,"ET": ET,"NRA": NRA,"CST": CST,"GAL": GAL,"AST": AST,"ST": ST,"AS": AS,"SN": SN,"XPL": XPL,"SR": SR}
+    for sentence in sentences:
+        for entity in sentence.get_spans('ner'):
+            label_value = entity.labels[0].value
+            if entity.text not in label_lists.get(label_value, []):
+                label_lists[label_value].append(entity.text)            
+        
+    returnDic = {unidecode('Planète'):PL,unidecode('Trou noirs, quasars et apparentés'):TNQ,'Satellite naturel':SNAT,'Objets artificiels':OA,unidecode('Système solaire') :SSO,unidecode('Étoiles binaires (et pulsars)'):EB,unidecode('Étoiles'):ET,unidecode('Nébuleuse et région apparentés'):NRA,'Constellations':CST,'Galaxies et amas de galaxie':GAL,unidecode('Astèroïdes'):AST,unidecode('Satue hypotétique'):ST,'amas stellaires':AS,'supernovas':SN,unidecode('exoplanètes'):XPL,'sursaut radio, source radio, autres sursauts':SR}
+    # ajouter unidecode
+    data['value'] = {id:value for id, value in returnDic.items() if value != []}
+    sys.stdout.write(json.dumps(data))
+    sys.stdout.write('\n')                        
\ No newline at end of file
diff --git a/ner-tagger/v1/astro/tagger.ini b/ner-tagger/v1/astro/tagger.ini
new file mode 100644
index 0000000..03b61cc
--- /dev/null
+++ b/ner-tagger/v1/astro/tagger.ini
@@ -0,0 +1,36 @@
+# OpenAPI Documentation - JSON format (dot notation)
+mimeType = application/json
+
+post.description = Reconnait des entités nommées en astrophysique
+post.responses.default.description = Reconnaissance d'entités nommées en astrophysique.
+post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
+post.summary = Recherche d'entités en astrophysique
+post.requestBody.required = true
+post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
+post.parameters.0.in = query
+post.parameters.0.name = indent
+post.parameters.0.schema.type = boolean
+post.parameters.0.description = Indent or not the JSON Result
+
+# Examples
+
+
+[use]
+# exec
+plugin = @ezs/spawn
+# JSONParse
+plugin = @ezs/basics
+
+[JSONParse]
+separator = *
+
+[expand]
+path = value
+size = 100
+
+[expand/exec]
+# command should be executable !
+command = ./v1/astro/find-astro.py
+
+[dump]
+indent = env('indent', false)
\ No newline at end of file
diff --git a/ner-tagger/v1/astroTagger/find-astro.py b/ner-tagger/v1/astroTagger/find-astro.py
deleted file mode 100644
index f63c249..0000000
--- a/ner-tagger/v1/astroTagger/find-astro.py
+++ /dev/null
@@ -1,51 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import sys
-import json
-from flair.models import SequenceTagger
-from flair.data import Sentence
-from unidecode import unidecode  
-import logging
-
-logging.getLogger('flair').handlers[0].stream = sys.stderr
-
-def data_normalization(sentence):
-    cpy_sentence = sentence.lower()
-    return cpy_sentence
-tagger = SequenceTagger.load("model.pt")
-
-for line in sys.stdin:
-    data = json.loads(line)
-    text=data['value']
-    PL = []
-    TNQ = []
-    SNAT = []
-    OA = []
-    SSO = []
-    EB = []
-    ET = []
-    NRA = []
-    CST = []
-    GAL = []
-    AST = []
-    ST = []
-    AS = []
-    SN = []
-    XPL = []
-    SR = []
-    sent = data_normalization(text)
-    sentS = sent.split(".")
-    sentences = [Sentence(sentS[i]+".") for i in range(len(sentS))]
-    tagger.predict(sentences)
-    label_lists = {"PL": PL,"TNQ": TNQ,"SNAT": SNAT,"OA": OA,"SSO": SSO,"EB": EB,"ET": ET,"NRA": NRA,"CST": CST,"GAL": GAL,"AST": AST,"ST": ST,"AS": AS,"SN": SN,"XPL": XPL,"SR": SR}
-    for sentence in sentences:
-        for entity in sentence.get_spans('ner'):
-            label_value = entity.labels[0].value
-            if entity.text not in label_lists.get(label_value, []):
-                label_lists[label_value].append(entity.text)            
-        
-    returnDic = {unidecode('Planète'):PL,unidecode('Trou noirs, quasars et apparentés'):TNQ,'Satellite naturel':SNAT,'Objets artificiels':OA,unidecode('Système solaire') :SSO,unidecode('Étoiles binaires (et pulsars)'):EB,unidecode('Étoiles'):ET,unidecode('Nébuleuse et région apparentés'):NRA,'Constellations':CST,'Galaxies et amas de galaxie':GAL,unidecode('Astèroïdes'):AST,unidecode('Satue hypotétique'):ST,'amas stellaires':AS,'supernovas':SN,unidecode('exoplanètes'):XPL,'sursaut radio, source radio, autres sursauts':SR}
-    # ajouter unidecode
-    data['value'] = {id:value for id, value in returnDic.items() if value != []}
-    sys.stdout.write(json.dumps(data))
-    sys.stdout.write('\n')                        
\ No newline at end of file