mirror of
https://github.com/qurator-spk/sbb_ner.git
synced 2025-06-08 11:50:16 +02:00
de-couple SBB related stuff and general NER functionality
This commit is contained in:
Kai Labusch
parent
57cd9227f9
commit
181cbb9f53
6 changed files with 5 additions and 371 deletions
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@ -1,9 +1,6 @@
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import os
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import logging
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from flask import Flask, send_from_directory, redirect, jsonify, request, send_file
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import pandas as pd
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from sqlite3 import Error
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import sqlite3
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from flask import Flask, send_from_directory, redirect, jsonify, request
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import html
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import json
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import torch
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@ -15,12 +12,6 @@ from qurator.sbb_ner.models.tokenization import BertTokenizer
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from pytorch_pretrained_bert.modeling import (CONFIG_NAME,
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BertConfig,
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BertForTokenClassification)
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from qurator.sbb.xml import get_entity_coordinates
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import io
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from PIL import Image, ImageDraw
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app = Flask(__name__)
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app.config.from_json('config.json' if not os.environ.get('CONFIG') else os.environ.get('CONFIG'))
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@ -28,40 +19,6 @@ app.config.from_json('config.json' if not os.environ.get('CONFIG') else os.envir
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logger = logging.getLogger(__name__)
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class Digisam:
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_conn = None
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def __init__(self, data_path):
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self._data_path = data_path
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@staticmethod
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def create_connection(db_file):
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try:
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logger.debug('Connection to database: {}'.format(db_file))
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conn = sqlite3.connect(db_file, check_same_thread=False)
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conn.execute('pragma journal_mode=wal')
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return conn
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except Error as e:
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logger.error(e)
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return None
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def get(self, ppn):
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if Digisam._conn is None:
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Digisam._conn = self.create_connection(self._data_path)
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df = pd.read_sql_query("select file_name, text from text where ppn=?;", Digisam._conn, params=(ppn,)). \
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sort_values('file_name')
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return df
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class NERPredictor:
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def __init__(self, model_dir, batch_size, epoch, max_seq_length=128, local_rank=-1, no_cuda=False):
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@ -184,8 +141,6 @@ class PredictorStore:
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return self._predictor
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digisam = Digisam(app.config['DATA_PATH'])
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predictor_store = PredictorStore()
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tokenizer = NERTokenizer()
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@ -201,42 +156,6 @@ def get_models():
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return jsonify(app.config['MODELS'])
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@app.route('/ppnexamples')
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def get_ppnexamples():
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return jsonify(app.config['PPN_EXAMPLES'])
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@app.route('/digisam-fulltext/<ppn>')
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def fulltext(ppn):
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df = digisam.get(ppn)
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if len(df) == 0:
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df = digisam.get('PPN' + ppn)
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if len(df) == 0:
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if ppn.startswith('PPN'):
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df = digisam.get(ppn[3:])
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if len(df) == 0:
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return 'bad request!', 400
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text = ''
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for row_index, row_data in df.iterrows():
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if row_data.text is None:
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continue
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text += row_data.text + " "
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ret = {'text': text, 'ppn': ppn}
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return jsonify(ret)
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@app.route('/tokenized', methods=['GET', 'POST'])
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def tokenized():
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@ -338,53 +257,6 @@ def ner(model_id):
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return jsonify(output)
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def find_file(path, ppn, page, ending):
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file = (8 - len(str(page))) * '0' + page
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if os.path.exists("{}/{}/{}{}".format(path, ppn, file, ending)):
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return "{}/{}/{}{}".format(path, ppn, file, ending)
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elif os.path.exists("{}/PPN{}/{}{}".format(path, ppn, file, ending)):
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return "{}/PPN{}/{}{}".format(path, ppn, file, ending)
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elif ppn.startswith('PPN') and os.path.exists("{}/{}/{}{}".format(path, ppn[3:], file, ending)):
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return "{}/{}/{}{}".format(path, ppn[3:], file, ending)
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else:
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return None
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@app.route('/image/<ppn>/<page>')
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def get_image(ppn, page):
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image_file = find_file(app.config['IMAGE_PATH'], ppn, page, '.tif')
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if image_file is None:
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return 'bad request!', 400
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img = Image.open(image_file)
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img = img.convert('RGB')
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alto_file = find_file(app.config['ALTO_PATH'], ppn, page, '.xml')
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if alto_file is not None:
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ner_coordinates, entity_map = get_entity_coordinates(alto_file, img)
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draw = ImageDraw.Draw(img, 'RGBA')
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for idx, row in ner_coordinates.iterrows():
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draw.rectangle(xy=((row.x0, row.y0), (row.x1, row.y1)),
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fill=(255 if row.ner_id.startswith('PER') else 0,
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255 if row.ner_id.startswith('LOC') else 0,
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255 if row.ner_id.startswith('ORG') else 0, 50))
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buffer = io.BytesIO()
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img.save(buffer, "JPEG")
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buffer.seek(0)
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return send_file(buffer, mimetype='image/jpeg')
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@app.route('/<path:path>')
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def send_js(path):
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return send_from_directory('static', path)
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@ -1,5 +1,4 @@
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{
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"DATA_PATH": "data/digisam/fulltext.sqlite3",
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"BATCH_SIZE": 256,
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"MODELS": [
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{
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@ -30,51 +29,5 @@
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"epoch": 7,
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"default": false
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}
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],
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"PPN_EXAMPLES": [
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{
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"ppn": "633609536",
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"name": "Der achtzehnte Brumaire des Louis Bonaparte"
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},
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{
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"ppn": "778819027",
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"name": "Der zerbrochene Krug"
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},
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{
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"ppn": "71807789X",
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"name": "Praktischer Kommentar zu den Gebühren-Taxen für Notare und Rechtsanwälte"
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},
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{
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"ppn": "719153085",
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"name": "Der Weltkrieg im Rechenunterricht"
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},
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{
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"ppn": "719961289",
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"name": "Das Kriegs-Schaubuch des XVIII. A.K."
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},
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{
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"ppn": "720942748",
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"name": "Ein Gebot der Stunde"
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},
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{
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"ppn": "819155217",
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"name": "Der Zirkel, 1883"
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},
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{
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"ppn": "847022595",
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"name": "Mecklenburgisches Logenblatt"
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},
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{
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"ppn": "756689090",
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"name": "Das Buch wunderbarer Erfindungen"
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},
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{
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"ppn": "865468370",
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"name": "Carl Robert Lessings Bücher- und Handschriftensammlung"
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},
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{
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"ppn": "818985976",
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"name": "\nDie älteste Berliner Zeitung\nOCR\n\nDie älteste Berliner Zeitung : Fragmente der Berliner Wochenzeitung von 1626 aus dem Besitz der Preußischen Staatsbibliothek"
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}
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]
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}
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@ -8,7 +8,7 @@ $(document).ready(function(){
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}
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);
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$.get( "/models")
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$.get( "models")
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.done(
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function( data ) {
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var tmp="";
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@ -1,113 +0,0 @@
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$(document).ready(function(){
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$('#nerform').submit(
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function(e){
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e.preventDefault();
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update();
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}
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);
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$.get( "/models")
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.done(
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function( data ) {
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var tmp="";
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$.each(data,
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function(index, item){
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selected=""
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if (item.default) {
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selected = "selected"
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}
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tmp += '<option value="' + item.id + '" ' + selected + ' >' + item.name + '</option>'
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});
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$('#model').html(tmp);
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var url_params = new URLSearchParams(window.location.search);
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var do_update=false;
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if (url_params.has('ppn')) {
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var ppn = url_params.get('ppn')
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$('#ppn').val(ppn);
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do_update = true;
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}
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if (url_params.has('model_id')) {
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var model_id = url_params.get('model_id')
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$('#model').val(model_id);
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do_update = true;
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}
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if (url_params.has('task')) {
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var task = url_params.get('task')
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$('#task').val(task);
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do_update = true;
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}
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task_select()
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if (do_update) update();
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}
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);
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$.get( "/ppnexamples")
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.done(
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function( data ) {
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var tmp="";
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$.each(data,
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function(index, item){
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tmp += '<option value="' + item.ppn + '">' + item.name + '</option>'
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});
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$('#ppnexamples').html(tmp);
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}
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);
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});
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function update() {
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var spinner_html =
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`<div class="d-flex justify-content-center">
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<div class="spinner-border align-center" role="status">
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<span class="sr-only">Loading...</span>
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</div>
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</div>`;
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var task = $('#task').val();
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var model_id = $('#model').val();
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var ppn = $('#ppn').val();
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var url_params = new URLSearchParams(window.location.search);
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url_params.set('ppn', ppn)
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url_params.set('model_id', model_id)
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url_params.set('task', task)
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window.history.replaceState({}, '', `${location.pathname}?${url_params}`);
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$("#resultregion").html(spinner_html);
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$.get( "/digisam-fulltext/" + ppn)
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.done(function( data ) {
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do_task(task, model_id, data.text)
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})
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.fail(
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function() {
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console.log('Failed.');
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$("#resultregion").html('Failed.');
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});
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}
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@ -58,7 +58,7 @@ function do_task(task, model_id, input_text) {
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$.ajax(
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{
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url: "/tokenized",
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url: "tokenized",
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data: JSON.stringify(post_data),
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type: 'POST',
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contentType: "application/json",
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@ -89,7 +89,7 @@ function do_task(task, model_id, input_text) {
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$("#resultregion").html(spinner_html)
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$.ajax({
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url: "/ner/" + model_id,
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url: "ner/" + model_id,
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data: JSON.stringify(post_data),
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type: 'POST',
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contentType: "application/json",
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@ -130,7 +130,7 @@ function do_task(task, model_id, input_text) {
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$.ajax(
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{
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url: "/ner-bert-tokens/" + model_id,
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url: "ner-bert-tokens/" + model_id,
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data: JSON.stringify(post_data),
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type: 'POST',
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contentType: "application/json",
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@ -1,78 +0,0 @@
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<!doctype html>
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<html lang="en">
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<head>
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<!-- Required meta tags -->
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<!-- Bootstrap CSS -->
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<link rel="stylesheet" href="css/bootstrap.min.css"
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integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
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<title>NER auf den digitalen Sammlungen</title>
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<script src="js/jquery-3.4.1.js"></script>
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</head>
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<body>
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<div class="container-fluid" style="height: 95vh;">
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<div class="row" style="margin-top: 5vh">
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<div class="col-2">
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</div>
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<div class="col-10">
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<div class="row">
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<div class="col-9 text-center">
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<h1>NER auf den digitalen Sammlungen</h1>
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</div>
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<div class="col">
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</div>
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</div>
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<div class="row" style="margin-top: 2vh">
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<div class="col-9">
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<div class="card">
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<div class="card-block">
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<form class="mt-3 mb-3" role="form" id="nerform">
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<div class="form-group row ml-2">
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<label for="task" class="col-sm-2 col-form-label">Task:</label>
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<select id="task" class="selectpicker col-md-auto" onchange="task_select()">
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<option value="fulltext">OCR-Text aus ALTO Datei</option>
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<option value="tokenize">Wort- und Satztokenisierung</option>
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<option value="ner" selected>Named Entity Recognition</option>
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<option value="bert-tokens">BERT Tokens</option>
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</select>
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</div>
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<div class="form-group row ml-2" id="model_select">
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<label for="model" class="col-sm-2 col-form-label">Model:</label>
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<select id="model" class="selectpicker col-md-auto">
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</select>
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</div>
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<div class="form-group row ml-2">
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<label for="ppn" class="col-sm-2 col-form-label">PPN:</label>
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<input id="ppn" list="ppnexamples" class="col-sm-8" type="text" required/>
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<datalist id="ppnexamples">
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</datalist>
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<button class="btn btn-primary" type="submit">Go</button>
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</div>
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</form>
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</div>
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</div>
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</div>
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<div class="col">
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</div>
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</div>
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<div class="row mt-5">
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<div class="col-9" id="resultregion">
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</div>
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<div class="col" id="legende">
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</div>
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</div>
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</div>
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</div>
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</div>
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<script src="js/ner.js"></script>
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<script src="js/ner-ds-sbb.js"></script>
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</body>
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</html>
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