niazangels

import requests
import json

url = "https://api.explosion.ai/displacy/ent/"
HEADER = {'Content-type': 'text/plain'}

while True:

    data = {'text':raw_input(), 'model':'en'}
    data = json.dumps(data)

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/*
                                                 ,  ,
                                               / \/ \
                                              (/ //_ \_
     .-._                                      \||  .  \
      \  '-._                            _,:__.-"/---\_ \
 ______/___  '.    .--------------------'~-'--.)__( , )\ \
`'--.___  _\  /    |             Here        ,'    \)|\ `\|
     /_.-' _\ \ _:,_          Be Dragons           " ||   (
   .'__ _.' \'-/,`-~`                                |/

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from PIL import Image, ImageDraw, ImageFont
import matplotlib.pyplot as plt
import numpy as np

image = Image.new('RGB', (700, 40))

# Make sure the location to the font is correct
draw.text((40,5), 'നമ്മുടെ മലയാളം അടിപൊളിയായി ഇമേജിൽ വരുന്നു', font=ImageFont.truetype('./Manjari-Bold.ttf', 25))

plt.imshow(np.asarray(image))

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'''
testing celery progress reporting/polling
* start server
python tempserver.py
* start worker
celery -A tempserver.celery worker -c 1 --loglevel=DEBUG
* browse to localhost:5000/
'''

from flask import Flask, request, render_template_string

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// Export entire database
CALL apoc.export.graphml.all('/tmp/complete-graph.graphml', {useTypes:true, storeNodeIds:false})

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// Import from GraphML 
CALL apoc.import.graphml('/tmp/complete-graph.graphml', {batchSize: 10000, storeNodeIds: false})

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# $1 is the first argument
# remove result.txt
#rm output/result.txt

fname=`echo "$1" | awk -F "/" '{print $(NF)}'`
# convert the pdf to a group of tiffs

if [ ! -e extracted_tz_parliament/$fname.txt ];
   then

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{
    "query": "how much revenue did we generate in the last quarter from XYZ Corp?",
    "response": { ... }
}