forked from meritmalling/Quickipedia
-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
88 lines (78 loc) · 2.97 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
import json
import wikipedia
from flask import Flask, request
import requests
import Algorithmia
import os
api_key = os.environ['KEY']
app = Flask(__name__)
@app.route('/')
def index():
return app.send_static_file('index.html')
@app.route('/<path:path>')
def static_path(path):
return app.send_static_file(path)
# A Hard Coded JSON Object
@app.route('/stuff')
def stuff():
contents= {
'image': 'imageURL',
'sumary': 'wikipediasumary',
'sections': [
{'section1': 'section1summary'},
{'section2': 'section2summary'},
{'section3': 'section3summary'},
{'section4': 'section4summary'},
{'section5': 'section5summary'},
{'section6': 'section6summary'},
]
}
return json.dumps(contents)
# Scrape Testing
@app.route('/scrape')
def scrape():
return "Scrape testing page."
# Summarize
@app.route('/summary', methods=['GET'])
def summary():
try:
query = request.args.get('q')
input = wikipedia.WikipediaPage(title=query).summary
title = wikipedia.WikipediaPage(title=query).title
image = wikipedia.WikipediaPage(title=query).images[0]
client = Algorithmia.client('Simple simR+{}'.format(api_key))
algo = client.algo('nlp/Summarizer/0.1.2')
contents ={
'image': image,
'title': title,
'summary': algo.pipe(input),
'link': 'https://en.wikipedia.org/wiki/{}'.format(query)
}
except:
return json.dumps({
'msg': "Sorry, we couldn't find a Wikipedia article matching your search."
})
return json.dumps(contents)
# Random Summary
@app.route('/random', methods=['GET'])
def random():
try:
query = wikipedia.random(pages=1)
input = wikipedia.WikipediaPage(title=query).summary
title = wikipedia.WikipediaPage(title=query).title
image = wikipedia.WikipediaPage(title=query).images[0]
client = Algorithmia.client('Simple simR+{}'.format(api_key))
algo = client.algo('nlp/Summarizer/0.1.2')
contents ={
'image': image,
'title': title,
'summary': algo.pipe(input),
'link': 'https://en.wikipedia.org/wiki/{}'.format(wikipedia.random(pages=1))
}
except:
return json.dumps({
'msg': "Sorry, we couldn't find a Wikipedia article matching your search."
})
return json.dumps(contents)
port = int(os.environ.get("PORT", 5000))
app.run(debug=True, host='0.0.0.0', port=port)