diff --git a/geo-tagger/v1/perseeBaipTagger/model.pt b/geo-tagger/v1/perseeBaipTagger/model.pt
new file mode 100644
index 0000000..10cdfbf
--- /dev/null
+++ b/geo-tagger/v1/perseeBaipTagger/model.pt
Binary files differ
diff --git a/geo-tagger/v1/perseeBaipTagger/tagger.ini b/geo-tagger/v1/perseeBaipTagger/tagger.ini
new file mode 100644
index 0000000..e61adc0
--- /dev/null
+++ b/geo-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)
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diff --git a/geo-tagger/v1/perseeBaipTagger/tagger.py b/geo-tagger/v1/perseeBaipTagger/tagger.py
new file mode 100644
index 0000000..7b98620
--- /dev/null
+++ b/geo-tagger/v1/perseeBaipTagger/tagger.py
@@ -0,0 +1,80 @@
+import sys
+import json
+import re
+
+from flair.models import SequenceTagger
+from flair.data import Sentence
+
+import logging
+
+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
+
+
+logging.getLogger('flair').handlers[0].stream = sys.stderr
+tagger = SequenceTagger.load("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","établissement","institut"]
+trans = ["nomination","affectation","concession","érection","suppression"]
+for line in sys.stdin:
+    data = json.loads(line)
+    text=data['value']
+
+    locL = []
+    orgL = []
+    basicOrg = []
+    operation = []
+
+    sent = data_normalization(error_dic,text)
+
+    sentence = Sentence(sent)
+    tagger.predict(sentence)
+    for word in sent.lower().split(" "):
+        for transfo in trans:
+            if word.startswith(transfo):
+                if transfo not in operation:
+                    operation.append(transfo)
+                break
+
+    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')                        
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