diff --git a/geo-tagger/README.md b/geo-tagger/README.md
deleted file mode 100755
index 0feb095..0000000
--- a/geo-tagger/README.md
+++ /dev/null
@@ -1,106 +0,0 @@
-# geo-tagger
-
-Cette instance propose un outil de détéction d'entités géographiques dans des textes anglais.
-Attention : Ce web service est, de par sa conception, assez lent. Il est donc normal que le traitement d'une grosse masse de données prenne un peu plus de temps que les autres web services.
-
-## utilisation 
-
-- [v1/geoTagger/geoTagger](#v1%2fgeoTagger)
-
-Ce service permet de détecter des entités géographiques dans des textes anglais.
-Ce web service prend en entrée du JSON avec deux champs: `id` et `value`, et renvoie un JSON
-avec les entités géographiques détéctées dans le champ `value`.
-
-## Exemple 
-
-```bash
-$ cat <<EOF | curl -X POST --data-binary @- "https://ner-tagger.services.inist.fr/v1/geoTagger/geoTagger"
-[{"id":"1","value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."},
- {"id":"2","value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."}]
-EOF
-```
-
-Sortie
-
-```json
-[
-    {
-        "id":"1",
-        "value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."
-    },
-    {
-        "id":"2",
-        "value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."
-    }
-]
-EOF
-```
-
-# Persee Baip tagger
-
-Cette instance propose un outil de détection d'organismes scolaires et de localisation dans des bulletins administratifs de l'instruction publique pour Persee.
-
-## utilisation 
-
-- [v1/perseeBaipTagger/tagger](#v1%2fgeoTagger)
-
-Ce service permet de détecter des organismes scolaires, des localisations, ainsi que des opérations (transformation, nomination, affectation, etc) dans les bulletins administratifs de l'instruction publique.
-Ce web service prend en entrée du JSON avec deux champs: `id` et `value`, et renvoie un JSON
-avec un dictionnaire contenant les organismes scolaires, localisations et opérations trouvées dans le champs `value`.
-
-## Exemple 
-
-```bash
-$ cat <<EOF | curl -X POST --data-binary @- "https://ner-tagger.services.inist.fr/v1/perseeBaipTagger/tagger"
-[{"id":"1","value":"Personnel de l'Ecole normale primaire de Barcelonnette. Personnel du Collège impérial de France et du collège communal de Confolens. Personnel de la Faculté des lettres de Dijon."},
-{"id":"2","value":"Ecole normale supérieure. — M. Boulangier, agrégé des sciences physiques, professeur de physique au lycée impérial de Bar-le-Duc, ancien élève de l'école normale supérieure, est nommé préparateur de .chimie à ladite école, en remplacement de M. Debray."}]
-EOF
-```
-
-Sortie
-
-```json
-[{
-    "id": "1",
-    "value": {
-        "loc": [
-            "Barcelonnette",
-            "France",
-            "Confolens",
-            "Dijon"
-        ],
-        "org": [
-            "Ecole normale primaire de Barcelonnette",
-            "Collège impérial de France",
-            "collège communal de Confolens",
-            "Faculté des lettres de Dijon"
-        ],
-        "basicOrg": [
-            "collège",
-            "collège",
-            "faculté"
-        ],
-        "operation": []
-    }
-},
-{
-    "id": "2",
-    "value": {
-        "loc": [
-            "Bar-le-Duc"
-        ],
-        "org": [
-            "Ecole normale supérieure",
-            "lycée impérial de Bar-le-Duc",
-            "école normale supérieure",
-            "école"
-        ],
-        "basicOrg": [
-            "lycée",
-            "école",
-            "école"
-        ],
-        "operation": []
-    }
-}]
-```
\ No newline at end of file
diff --git a/geo-tagger/examples.http b/geo-tagger/examples.http
deleted file mode 100755
index 547d201..0000000
--- a/geo-tagger/examples.http
+++ /dev/null
@@ -1,31 +0,0 @@
-# Détection d'entité géographique d'un texte anglais
-POST https://geoEntity-tagger.services.inist.fr/v1/geoTagger/geoTagger?indent=true HTTP/1.1
-Content-Type: application/json
-
-[
-    {
-        "id":"1",
-        "value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."
-    },
-    {
-        "id":"2",
-        "value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."
-    }
-]
-
-
-# Détection d'organismes scolaires, localisations, ainsi qu'opérations (transformation, nomination, affectation, etc) dans les bulletins administratifs de l'instruction publique.
-
-POST https://geoEntity-tagger.services.inist.fr/v1/perseeBaipTagger/tagger?indent=true HTTP/1.1
-Content-Type: application/json
-
-[
-    {
-        "id":"1",
-        "value":"Personnel de l'Ecole normale primaire de Barcelonnette. Personnel du Collège impérial de France et du collège communal de Confolens. Personnel de la Faculté des lettres de Dijon."
-    },
-    {
-        "id":"2",
-        "value":"Ecole normale supérieure. — M. Boulangier, agrégé des sciences physiques, professeur de physique au lycée impérial de Bar-le-Duc, ancien élève de l'école normale supérieure, est nommé préparateur de .chimie à ladite école, en remplacement de M. Debray."
-    }
-]
\ No newline at end of file
diff --git a/geo-tagger/requirements.txt b/geo-tagger/requirements.txt
deleted file mode 100755
index ef2b307..0000000
--- a/geo-tagger/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-flair==0.10
-certifi==2019.11.28
-
diff --git a/geo-tagger/swagger.json b/geo-tagger/swagger.json
deleted file mode 100755
index 3c502d2..0000000
--- a/geo-tagger/swagger.json
+++ /dev/null
@@ -1,27 +0,0 @@
-{
-	"info": {
-		"title": "geo-tagger",
-		"summary": "Cette instance propose un outil de détéction d'entités géographiques dans des textes anglais.",
-		"version": "0.0.0",
-		"termsOfService": "https://objectif-tdm.inist.fr/",
-		"contact": {
-			"name": "Inist-CNRS",
-			"url": "https://www.inist.fr/nous-contacter/"
-		}
-	},
-	"servers": [
-		{
-			"x-comment": "Will be automatically completed by the ezs server."
-		}
-	],
-	"tags": [
-        {
-            "name": "geoTagger",
-            "description": "Détection d'entités géographiques",
-            "externalDocs": {
-                "description": "Plus de documentation",
-                "url": "https://gitbucket.inist.fr/tdm/web-services/tree/master/geo-tagger"
-            }
-        }
-    ]
-}
diff --git a/geo-tagger/v1/astroTagger/find-astro.py b/geo-tagger/v1/astroTagger/find-astro.py
deleted file mode 100644
index 539ecc7..0000000
--- a/geo-tagger/v1/astroTagger/find-astro.py
+++ /dev/null
@@ -1,97 +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)
-    for sentence in sentences:            
-        for entity in sentence.get_spans('ner'):
-            if (entity.labels[0].value == "PL"): 
-                if entity.text not in PL:
-                    PL.append(entity.text)
-            if (entity.labels[0].value == "TNQ"):
-                if entity.text not in TNQ:
-                    TNQ.append(entity.text)
-            if (entity.labels[0].value == "SNAT"):
-                if entity.text not in SNAT:
-                    SNAT.append(entity.text)
-            if (entity.labels[0].value == "OA"):
-                if entity.text not in OA:
-                    OA.append(entity.text)
-            if (entity.labels[0].value == "SSO"):
-                if entity.text not in SSO:
-                    SSO.append(entity.text)
-            if (entity.labels[0].value == "EB"):
-                if entity.text not in EB:
-                    EB.append(entity.text)
-            if (entity.labels[0].value == "ET"):
-                if entity.text not in ET:
-                    ET.append(entity.text)
-            if (entity.labels[0].value == "NRA"):
-                if entity.text not in NRA:
-                    NRA.append(entity.text)
-            if (entity.labels[0].value == "CST"):
-                if entity.text not in CST:
-                    CST.append(entity.text)
-            if (entity.labels[0].value == "GAL"):
-                if entity.text not in GAL:
-                    GAL.append(entity.text)
-            if (entity.labels[0].value == "AST"):
-                if entity.text not in AST:
-                    AST.append(entity.text)
-            if (entity.labels[0].value == "ST"):
-                if entity.text not in ST:
-                    ST.append(entity.text)
-            if (entity.labels[0].value == "AS"):
-                if entity.text not in AS:
-                    AS.append(entity.text)
-            if (entity.labels[0].value == "SN"):
-                if entity.text not in SN:
-                    SN.append(entity.text)
-            if (entity.labels[0].value == "XPL"):
-                if entity.text not in XPL:
-                    XPL.append(entity.text)
-            if (entity.labels[0].value == "SR"):
-                if entity.text not in SR:
-                    SR.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'] = returnDic
-    sys.stdout.write(json.dumps(data))
-    sys.stdout.write('\n')                        
\ No newline at end of file
diff --git a/geo-tagger/v1/geoTagger/geoTagger.ini b/geo-tagger/v1/geoTagger/geoTagger.ini
deleted file mode 100755
index 340baa6..0000000
--- a/geo-tagger/v1/geoTagger/geoTagger.ini
+++ /dev/null
@@ -1,37 +0,0 @@
-# OpenAPI Documentation - JSON format (dot notation)
-mimeType = application/json
-
-post.description = Détecte les entités géographiques d'un texte en anglais
-post.responses.default.description = Renvoie un Json composé d'`id`, `value` avec `value` la liste des entités géographiques trouvées
-post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
-post.summary = Détection d'entité géographique 
-post.requestBody.required = true
-post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
-post.parameters.0.in = query
-post.parameters.0.name = path
-post.parameters.0.schema.type = string
-post.parameters.0.description = The path in each object to enrich with an Python script
-post.parameters.1.in = query
-post.parameters.1.name = indent
-post.parameters.1.schema.type = boolean
-post.parameters.1.description = Indent or not the JSON Result
-
-[use]
-plugin = @ezs/spawn
-plugin = @ezs/basics
-plugin = @ezs/storage
-plugin = @ezs/analytics
-
-[JSONParse]
-separator = *
-
-[expand]
-path = env('path', 'value')
-size = 100
-
-[expand/exec]
-# command should be executable !
-command = ./v1/geoTagger/geoTagger.py
-
-[dump]
-indent = env('indent', false)
\ No newline at end of file
diff --git a/geo-tagger/v1/geoTagger/geoTagger.py b/geo-tagger/v1/geoTagger/geoTagger.py
deleted file mode 100755
index 2bd70f1..0000000
--- a/geo-tagger/v1/geoTagger/geoTagger.py
+++ /dev/null
@@ -1,28 +0,0 @@
-#!/opt/bitnami/python/bin/python3.7
-
-import sys
-import json
-
-from flair.models import SequenceTagger
-from flair.data import Sentence
-
-import logging
-logging.getLogger('flair').handlers[0].stream = sys.stderr
-
-tagger = SequenceTagger.load("flair/ner-english")
-
-for line in sys.stdin:
-    data = json.loads(line)
-    text=data['value']
-    sent= text.split(".")
-    sentences = [Sentence(sent[i]+".") for i in range(len(sent))]
-    tagger.predict(sentences)
-    geo = []
-    
-    for sentence in sentences:
-        for entity in sentence.get_spans('ner'):
-            if entity.tag == "LOC":
-                geo.append(entity.text)
-    data['value'] = geo
-    sys.stdout.write(json.dumps(data))
-    sys.stdout.write('\n')
diff --git a/geo-tagger/v1/perseeBaipTagger/model.pt b/geo-tagger/v1/perseeBaipTagger/model.pt
deleted file mode 100755
index 10cdfbf..0000000
--- a/geo-tagger/v1/perseeBaipTagger/model.pt
+++ /dev/null
Binary files differ
diff --git a/geo-tagger/v1/perseeBaipTagger/tagger.ini b/geo-tagger/v1/perseeBaipTagger/tagger.ini
deleted file mode 100755
index e61adc0..0000000
--- a/geo-tagger/v1/perseeBaipTagger/tagger.ini
+++ /dev/null
@@ -1,37 +0,0 @@
-# OpenAPI Documentation - JSON format (dot notation)
-mimeType = application/json
-
-post.description = Détecte les organismes scolaires et localisations dans les baip
-post.responses.default.description = Renvoie un Json composé d'`id`, `value` avec `value` un dictionnaire contenant les organismes scolaires et localisations extraites.
-post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
-post.summary = Détection dans les baip
-post.requestBody.required = true
-post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
-post.parameters.0.in = query
-post.parameters.0.name = path
-post.parameters.0.schema.type = string
-post.parameters.0.description = The path in each object to enrich with an Python script
-post.parameters.1.in = query
-post.parameters.1.name = indent
-post.parameters.1.schema.type = boolean
-post.parameters.1.description = Indent or not the JSON Result
-
-[use]
-plugin = @ezs/spawn
-plugin = @ezs/basics
-plugin = @ezs/storage
-plugin = @ezs/analytics
-
-[JSONParse]
-separator = *
-
-[expand]
-path = env('path', 'value')
-size = 100
-
-[expand/exec]
-# command should be executable !
-command = ./v1/perseeBaipTagger/tagger.py
-
-[dump]
-indent = env('indent', false)
\ No newline at end of file
diff --git a/geo-tagger/v1/perseeBaipTagger/tagger.py b/geo-tagger/v1/perseeBaipTagger/tagger.py
deleted file mode 100755
index 2623632..0000000
--- a/geo-tagger/v1/perseeBaipTagger/tagger.py
+++ /dev/null
@@ -1,90 +0,0 @@
-#!/opt/bitnami/python/bin/python3.7
-
-import sys
-import json
-import re
-
-from flair.models import SequenceTagger
-from flair.data import Sentence
-
-import logging
-
-logging.getLogger('flair').handlers[0].stream = sys.stderr
-
-
-def data_normalization(dic,sentence):
-    cpy_sentence = sentence
-
-    cpy_sentence = re.sub(r'\bArt. \w*\b', '', cpy_sentence)
-    cpy_sentence = re.sub(r'\.\.\.*', '', cpy_sentence)
-
-    for key in dic:
-        cpy_sentence = cpy_sentence.replace(key,dic[key])
-
-    return cpy_sentence
-
-
-tagger = SequenceTagger.load("./v1/perseeBaipTagger/model.pt")
-
-
-error_dic = {}
-error_dic["\n"] = " "
-error_dic["¬ "] = ""
-error_dic["l'"] = "l' "
-error_dic["d'"] = "d' "
-error_dic["1° "] = ""
-error_dic["2° "] = ""
-error_dic["3° "] = ""
-error_dic["Art. "] = ""
-error_dic[", A"] = ", a"
-
-uniqueOrg = ["collège","lycée","académie","faculté","école","ecole","établissement","institut"]
-trans = ["nomination","affectation","concession","érection","suppression","transformation"]
-
-for line in sys.stdin:
-    data = json.loads(line)
-    text=data['value']
-
-    locL = []
-    orgL = []
-    basicOrg = []
-    operation = []
-
-    sent = data_normalization(error_dic,text)
-
-    sentS = sent.split(".")
-    sentences = [Sentence(sentS[i]+".") for i in range(len(sentS))]
-
-    tagger.predict(sentences)
-
-    for word in sent.lower().split(" "):
-        for transfo in trans:
-            if word.startswith(transfo):
-                if transfo not in operation:
-                    operation.append(transfo)
-                break
-
-    for sentence in sentences:            
-        for entity in sentence.get_spans('ner'):
-            if (entity.labels[0].value == "LOC"): 
-                if entity.text not in locL:
-                    locL.append(entity.text)
-            if entity.labels[0].value == "ORG":
-                org = entity.text.split(" ")
-                if len(org[-1]) > 2:
-                    for borg in uniqueOrg:
-                        if entity.text.lower().startswith(borg):
-                            basicOrg.append(borg)
-                    if entity.text not in orgL:
-                        orgL.append(entity.text)
-                    if len(org)>1:
-                        for k in ["à","de","l'","d'","'","du","la"]:
-                            if org[-2] == k:
-                                if org[-1] not in locL:
-                                    locL.append(org[-1])
-                                break
-    
-    returnDic = {"loc":locL,"org":orgL,"basicOrg":basicOrg,"operation":operation}
-    data['value'] = returnDic
-    sys.stdout.write(json.dumps(data))
-    sys.stdout.write('\n')                        
\ No newline at end of file
diff --git a/ner-tagger/README.md b/ner-tagger/README.md
new file mode 100755
index 0000000..c05d88a
--- /dev/null
+++ b/ner-tagger/README.md
@@ -0,0 +1,108 @@
+# ner-tagger
+
+## geoTagger
+
+Cette instance propose un outil de détéction d'entités nommées dans des textes anglais.
+Attention : Ce web service est, de par sa conception, assez lent. Il est donc normal que le traitement d'une grosse masse de données prenne un peu plus de temps que les autres web services.
+
+### utilisation
+
+- [v1/geoTagger/geoTagger](#v1%2fgeoTagger)
+
+Ce service permet de détecter des entités géographiques dans des textes anglais.
+Ce web service prend en entrée du JSON avec deux champs: `id` et `value`, et renvoie un JSON
+avec les entités géographiques détéctées dans le champ `value`.
+
+### Exemple
+
+```bash
+$ cat <<EOF | curl -X POST --data-binary @- "https://ner-tagger.services.inist.fr/v1/geoTagger/geoTagger"
+[{"id":"1","value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."},
+ {"id":"2","value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."}]
+EOF
+```
+
+Sortie
+
+```json
+[
+    {
+        "id":"1",
+        "value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."
+    },
+    {
+        "id":"2",
+        "value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."
+    }
+]
+EOF
+```
+
+## Persee Baip tagger
+
+Cette instance propose un outil de détection d'organismes scolaires et de localisation dans des bulletins administratifs de l'instruction publique pour Persee.
+
+### utilisation
+
+- [v1/perseeBaipTagger/tagger](#v1%2fgeoTagger)
+
+Ce service permet de détecter des organismes scolaires, des localisations, ainsi que des opérations (transformation, nomination, affectation, etc) dans les bulletins administratifs de l'instruction publique.
+Ce web service prend en entrée du JSON avec deux champs: `id` et `value`, et renvoie un JSON
+avec un dictionnaire contenant les organismes scolaires, localisations et opérations trouvées dans le champs `value`.
+
+### Exemple
+
+```bash
+$ cat <<EOF | curl -X POST --data-binary @- "https://ner-tagger.services.inist.fr/v1/perseeBaipTagger/tagger"
+[{"id":"1","value":"Personnel de l'Ecole normale primaire de Barcelonnette. Personnel du Collège impérial de France et du collège communal de Confolens. Personnel de la Faculté des lettres de Dijon."},
+{"id":"2","value":"Ecole normale supérieure. — M. Boulangier, agrégé des sciences physiques, professeur de physique au lycée impérial de Bar-le-Duc, ancien élève de l'école normale supérieure, est nommé préparateur de .chimie à ladite école, en remplacement de M. Debray."}]
+EOF
+```
+
+Sortie
+
+```json
+[{
+    "id": "1",
+    "value": {
+        "loc": [
+            "Barcelonnette",
+            "France",
+            "Confolens",
+            "Dijon"
+        ],
+        "org": [
+            "Ecole normale primaire de Barcelonnette",
+            "Collège impérial de France",
+            "collège communal de Confolens",
+            "Faculté des lettres de Dijon"
+        ],
+        "basicOrg": [
+            "collège",
+            "collège",
+            "faculté"
+        ],
+        "operation": []
+    }
+},
+{
+    "id": "2",
+    "value": {
+        "loc": [
+            "Bar-le-Duc"
+        ],
+        "org": [
+            "Ecole normale supérieure",
+            "lycée impérial de Bar-le-Duc",
+            "école normale supérieure",
+            "école"
+        ],
+        "basicOrg": [
+            "lycée",
+            "école",
+            "école"
+        ],
+        "operation": []
+    }
+}]
+```
diff --git a/ner-tagger/examples.http b/ner-tagger/examples.http
new file mode 100755
index 0000000..7a972b4
--- /dev/null
+++ b/ner-tagger/examples.http
@@ -0,0 +1,38 @@
+
+#@baseUrl = http://localhost:31976
+@baseUrl = http://ner-tagger.services.istex.fr
+# @baseUrl = http://ner-tagger.services.inist.fr
+
+###
+# @name v1geoTagger
+# @description Détection d'entité géographique d'un texte anglais
+POST {{baseUrl}}/v1/geoTagger/geoTagger?indent=true HTTP/1.1
+Content-Type: application/json
+
+[
+    {
+        "id":"1",
+        "value":"The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, with an estimated population of 12,997,058 in 2020, or about 18 percent of the population of France, making it in 2020 the largest metropolitan area in Europe, and 14th largest in the world in 2015."
+    },
+    {
+        "id":"2",
+        "value":"The COVID-19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 20 January 2020, and later a pandemic on 11 March 2020. As of 2 April 2021, more than 129 million cases have been confirmed, with more than 2.82 million deaths attributed to COVID-19, making it one of the deadliest pandemics in history."
+    }
+]
+
+###
+# @name v1perseeBaipTagger
+# @description Détection d'organismes scolaires, localisations, ainsi qu'opérations (transformation, nomination, affectation, etc) dans les bulletins administratifs de l'instruction publique.
+POST {{baseUrl}}/v1/perseeBaipTagger/tagger?indent=true HTTP/1.1
+Content-Type: application/json
+
+[
+    {
+        "id":"1",
+        "value":"Personnel de l'Ecole normale primaire de Barcelonnette. Personnel du Collège impérial de France et du collège communal de Confolens. Personnel de la Faculté des lettres de Dijon."
+    },
+    {
+        "id":"2",
+        "value":"Ecole normale supérieure. — M. Boulangier, agrégé des sciences physiques, professeur de physique au lycée impérial de Bar-le-Duc, ancien élève de l'école normale supérieure, est nommé préparateur de .chimie à ladite école, en remplacement de M. Debray."
+    }
+]
\ No newline at end of file
diff --git a/ner-tagger/requirements.txt b/ner-tagger/requirements.txt
new file mode 100755
index 0000000..ef2b307
--- /dev/null
+++ b/ner-tagger/requirements.txt
@@ -0,0 +1,3 @@
+flair==0.10
+certifi==2019.11.28
+
diff --git a/ner-tagger/swagger.json b/ner-tagger/swagger.json
new file mode 100755
index 0000000..eda06fa
--- /dev/null
+++ b/ner-tagger/swagger.json
@@ -0,0 +1,32 @@
+{
+	"info": {
+		"title": "geo-tagger",
+		"summary": "Cette instance propose un outil de détéction d'entités géographiques dans des textes anglais.",
+		"version": "0.0.0",
+		"termsOfService": "https://objectif-tdm.inist.fr/",
+		"contact": {
+			"name": "Inist-CNRS",
+			"url": "https://www.inist.fr/nous-contacter/"
+		}
+	},
+	"servers": [
+		{
+			"x-comment": "Will be automatically completed by the ezs server."
+		},
+		{
+			"url": "http://vptdmservices.intra.inist.fr:49221/",
+			"description": "Latest version for production",
+			"x-profil": "Standard"
+		}
+	],
+	"tags": [
+		{
+			"name": "geoTagger",
+			"description": "Détection d'entités géographiques",
+			"externalDocs": {
+				"description": "Plus de documentation",
+				"url": "https://gitbucket.inist.fr/tdm/web-services/tree/master/geo-tagger"
+			}
+		}
+	]
+}
\ No newline at end of file
diff --git a/ner-tagger/v1/astroTagger/find-astro.py b/ner-tagger/v1/astroTagger/find-astro.py
new file mode 100644
index 0000000..539ecc7
--- /dev/null
+++ b/ner-tagger/v1/astroTagger/find-astro.py
@@ -0,0 +1,97 @@
+# -*- 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)
+    for sentence in sentences:            
+        for entity in sentence.get_spans('ner'):
+            if (entity.labels[0].value == "PL"): 
+                if entity.text not in PL:
+                    PL.append(entity.text)
+            if (entity.labels[0].value == "TNQ"):
+                if entity.text not in TNQ:
+                    TNQ.append(entity.text)
+            if (entity.labels[0].value == "SNAT"):
+                if entity.text not in SNAT:
+                    SNAT.append(entity.text)
+            if (entity.labels[0].value == "OA"):
+                if entity.text not in OA:
+                    OA.append(entity.text)
+            if (entity.labels[0].value == "SSO"):
+                if entity.text not in SSO:
+                    SSO.append(entity.text)
+            if (entity.labels[0].value == "EB"):
+                if entity.text not in EB:
+                    EB.append(entity.text)
+            if (entity.labels[0].value == "ET"):
+                if entity.text not in ET:
+                    ET.append(entity.text)
+            if (entity.labels[0].value == "NRA"):
+                if entity.text not in NRA:
+                    NRA.append(entity.text)
+            if (entity.labels[0].value == "CST"):
+                if entity.text not in CST:
+                    CST.append(entity.text)
+            if (entity.labels[0].value == "GAL"):
+                if entity.text not in GAL:
+                    GAL.append(entity.text)
+            if (entity.labels[0].value == "AST"):
+                if entity.text not in AST:
+                    AST.append(entity.text)
+            if (entity.labels[0].value == "ST"):
+                if entity.text not in ST:
+                    ST.append(entity.text)
+            if (entity.labels[0].value == "AS"):
+                if entity.text not in AS:
+                    AS.append(entity.text)
+            if (entity.labels[0].value == "SN"):
+                if entity.text not in SN:
+                    SN.append(entity.text)
+            if (entity.labels[0].value == "XPL"):
+                if entity.text not in XPL:
+                    XPL.append(entity.text)
+            if (entity.labels[0].value == "SR"):
+                if entity.text not in SR:
+                    SR.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'] = returnDic
+    sys.stdout.write(json.dumps(data))
+    sys.stdout.write('\n')                        
\ No newline at end of file
diff --git a/ner-tagger/v1/geoTagger/geoTagger.ini b/ner-tagger/v1/geoTagger/geoTagger.ini
new file mode 100755
index 0000000..340baa6
--- /dev/null
+++ b/ner-tagger/v1/geoTagger/geoTagger.ini
@@ -0,0 +1,37 @@
+# OpenAPI Documentation - JSON format (dot notation)
+mimeType = application/json
+
+post.description = Détecte les entités géographiques d'un texte en anglais
+post.responses.default.description = Renvoie un Json composé d'`id`, `value` avec `value` la liste des entités géographiques trouvées
+post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
+post.summary = Détection d'entité géographique 
+post.requestBody.required = true
+post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
+post.parameters.0.in = query
+post.parameters.0.name = path
+post.parameters.0.schema.type = string
+post.parameters.0.description = The path in each object to enrich with an Python script
+post.parameters.1.in = query
+post.parameters.1.name = indent
+post.parameters.1.schema.type = boolean
+post.parameters.1.description = Indent or not the JSON Result
+
+[use]
+plugin = @ezs/spawn
+plugin = @ezs/basics
+plugin = @ezs/storage
+plugin = @ezs/analytics
+
+[JSONParse]
+separator = *
+
+[expand]
+path = env('path', 'value')
+size = 100
+
+[expand/exec]
+# command should be executable !
+command = ./v1/geoTagger/geoTagger.py
+
+[dump]
+indent = env('indent', false)
\ No newline at end of file
diff --git a/ner-tagger/v1/geoTagger/geoTagger.py b/ner-tagger/v1/geoTagger/geoTagger.py
new file mode 100755
index 0000000..2bd70f1
--- /dev/null
+++ b/ner-tagger/v1/geoTagger/geoTagger.py
@@ -0,0 +1,28 @@
+#!/opt/bitnami/python/bin/python3.7
+
+import sys
+import json
+
+from flair.models import SequenceTagger
+from flair.data import Sentence
+
+import logging
+logging.getLogger('flair').handlers[0].stream = sys.stderr
+
+tagger = SequenceTagger.load("flair/ner-english")
+
+for line in sys.stdin:
+    data = json.loads(line)
+    text=data['value']
+    sent= text.split(".")
+    sentences = [Sentence(sent[i]+".") for i in range(len(sent))]
+    tagger.predict(sentences)
+    geo = []
+    
+    for sentence in sentences:
+        for entity in sentence.get_spans('ner'):
+            if entity.tag == "LOC":
+                geo.append(entity.text)
+    data['value'] = geo
+    sys.stdout.write(json.dumps(data))
+    sys.stdout.write('\n')
diff --git a/ner-tagger/v1/perseeBaipTagger/model.pt b/ner-tagger/v1/perseeBaipTagger/model.pt
new file mode 100755
index 0000000..10cdfbf
--- /dev/null
+++ b/ner-tagger/v1/perseeBaipTagger/model.pt
Binary files differ
diff --git a/ner-tagger/v1/perseeBaipTagger/tagger.ini b/ner-tagger/v1/perseeBaipTagger/tagger.ini
new file mode 100755
index 0000000..e61adc0
--- /dev/null
+++ b/ner-tagger/v1/perseeBaipTagger/tagger.ini
@@ -0,0 +1,37 @@
+# OpenAPI Documentation - JSON format (dot notation)
+mimeType = application/json
+
+post.description = Détecte les organismes scolaires et localisations dans les baip
+post.responses.default.description = Renvoie un Json composé d'`id`, `value` avec `value` un dictionnaire contenant les organismes scolaires et localisations extraites.
+post.responses.default.content.application/json.schema.$ref =  #/components/schemas/JSONStream
+post.summary = Détection dans les baip
+post.requestBody.required = true
+post.requestBody.content.application/json.schema.$ref = #/components/schemas/JSONStream
+post.parameters.0.in = query
+post.parameters.0.name = path
+post.parameters.0.schema.type = string
+post.parameters.0.description = The path in each object to enrich with an Python script
+post.parameters.1.in = query
+post.parameters.1.name = indent
+post.parameters.1.schema.type = boolean
+post.parameters.1.description = Indent or not the JSON Result
+
+[use]
+plugin = @ezs/spawn
+plugin = @ezs/basics
+plugin = @ezs/storage
+plugin = @ezs/analytics
+
+[JSONParse]
+separator = *
+
+[expand]
+path = env('path', 'value')
+size = 100
+
+[expand/exec]
+# command should be executable !
+command = ./v1/perseeBaipTagger/tagger.py
+
+[dump]
+indent = env('indent', false)
\ No newline at end of file
diff --git a/ner-tagger/v1/perseeBaipTagger/tagger.py b/ner-tagger/v1/perseeBaipTagger/tagger.py
new file mode 100755
index 0000000..2623632
--- /dev/null
+++ b/ner-tagger/v1/perseeBaipTagger/tagger.py
@@ -0,0 +1,90 @@
+#!/opt/bitnami/python/bin/python3.7
+
+import sys
+import json
+import re
+
+from flair.models import SequenceTagger
+from flair.data import Sentence
+
+import logging
+
+logging.getLogger('flair').handlers[0].stream = sys.stderr
+
+
+def data_normalization(dic,sentence):
+    cpy_sentence = sentence
+
+    cpy_sentence = re.sub(r'\bArt. \w*\b', '', cpy_sentence)
+    cpy_sentence = re.sub(r'\.\.\.*', '', cpy_sentence)
+
+    for key in dic:
+        cpy_sentence = cpy_sentence.replace(key,dic[key])
+
+    return cpy_sentence
+
+
+tagger = SequenceTagger.load("./v1/perseeBaipTagger/model.pt")
+
+
+error_dic = {}
+error_dic["\n"] = " "
+error_dic["¬ "] = ""
+error_dic["l'"] = "l' "
+error_dic["d'"] = "d' "
+error_dic["1° "] = ""
+error_dic["2° "] = ""
+error_dic["3° "] = ""
+error_dic["Art. "] = ""
+error_dic[", A"] = ", a"
+
+uniqueOrg = ["collège","lycée","académie","faculté","école","ecole","établissement","institut"]
+trans = ["nomination","affectation","concession","érection","suppression","transformation"]
+
+for line in sys.stdin:
+    data = json.loads(line)
+    text=data['value']
+
+    locL = []
+    orgL = []
+    basicOrg = []
+    operation = []
+
+    sent = data_normalization(error_dic,text)
+
+    sentS = sent.split(".")
+    sentences = [Sentence(sentS[i]+".") for i in range(len(sentS))]
+
+    tagger.predict(sentences)
+
+    for word in sent.lower().split(" "):
+        for transfo in trans:
+            if word.startswith(transfo):
+                if transfo not in operation:
+                    operation.append(transfo)
+                break
+
+    for sentence in sentences:            
+        for entity in sentence.get_spans('ner'):
+            if (entity.labels[0].value == "LOC"): 
+                if entity.text not in locL:
+                    locL.append(entity.text)
+            if entity.labels[0].value == "ORG":
+                org = entity.text.split(" ")
+                if len(org[-1]) > 2:
+                    for borg in uniqueOrg:
+                        if entity.text.lower().startswith(borg):
+                            basicOrg.append(borg)
+                    if entity.text not in orgL:
+                        orgL.append(entity.text)
+                    if len(org)>1:
+                        for k in ["à","de","l'","d'","'","du","la"]:
+                            if org[-2] == k:
+                                if org[-1] not in locL:
+                                    locL.append(org[-1])
+                                break
+    
+    returnDic = {"loc":locL,"org":orgL,"basicOrg":basicOrg,"operation":operation}
+    data['value'] = returnDic
+    sys.stdout.write(json.dumps(data))
+    sys.stdout.write('\n')                        
\ No newline at end of file