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Code Issues Packages Projects Releases Wiki Activity

Polish the github issue summarization UI (#69) 

* Polish the github issue summarization UI

* Add kubeflow footer
This commit is contained in:
Ankush Agarwal 2018-04-06 21:45:08 -07:00 committed by k8s-ci-robot
parent e3b826a5af
commit 9f6ccde03f
5 changed files with 98 additions and 34 deletions
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4
github_issue_summarization/docker/Dockerfile
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@ -1,15 +1,13 @@
FROM python:alpine FROM python:3.6
COPY ./flask_web/requirements.txt /app/ COPY ./flask_web/requirements.txt /app/
WORKDIR /app WORKDIR /app
RUN pip install -r requirements.txt RUN pip install -r requirements.txt
RUN pip install requests
COPY ./flask_web /app COPY ./flask_web /app
ENTRYPOINT [ "python" ] ENTRYPOINT [ "python" ]
CMD [ "app.py" ] CMD [ "app.py" ]

61
github_issue_summarization/docker/flask_web/app.py
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@ -2,9 +2,28 @@
Simple app that parses predictions from a trained model and displays them. Simple app that parses predictions from a trained model and displays them.
""" """
import os
import re
import random
import requests import requests
from flask import Flask, json, render_template, request import pandas as pd
from flask import Flask, json, render_template, request, g, jsonify
APP = Flask(__name__) APP = Flask(__name__)
GITHUB_TOKEN = os.environ['GITHUB_TOKEN']
SAMPLE_DATA_URL = ('https://storage.googleapis.com/kubeflow-examples/'
'github-issue-summarization-data/github_issues_sample.csv')
def get_issue_body(issue_url):
issue_url = re.sub('.*github.com/', 'https://api.github.com/repos/',
issue_url)
return requests.get(
issue_url, headers={
'Authorization': 'token {}'.format(GITHUB_TOKEN)
}).json()['body']
@APP.route("/") @APP.route("/")
def index(): def index():
@ -14,7 +33,8 @@ def index():
""" """
return render_template("index.html") return render_template("index.html")
@APP.route("/summary", methods=['GET', 'POST'])
@APP.route("/summary", methods=['POST'])
def summary(): def summary():
"""Main prediction route. """Main prediction route.
@ -23,26 +43,33 @@ def summary():
""" """
if request.method == 'POST': if request.method == 'POST':
issue_text = request.form["issue_text"] issue_text = request.form["issue_text"]
issue_url = request.form["issue_url"]
url = "http://ambassador:80/seldon/issue-summarization/api/v0.1/predictions" if issue_url:
issue_text = get_issue_body(issue_url)
url = "http://ambassador/seldon/issue-summarization/api/v0.1/predictions"
headers = {'content-type': 'application/json'} headers = {'content-type': 'application/json'}
json_data = { json_data = {"data": {"ndarray": [[issue_text]]}}
"data" : { response = requests.post(
"ndarray" : [[issue_text]] url=url, headers=headers, data=json.dumps(json_data))
}
}
response = requests.post(url=url,
headers=headers,
data=json.dumps(json_data))
response_json = json.loads(response.text) response_json = json.loads(response.text)
issue_summary = response_json["data"]["ndarray"][0][0] issue_summary = response_json["data"]["ndarray"][0][0]
return jsonify({'summary': issue_summary, 'body': issue_text})
return render_template("issue_summary.html",
issue_text=issue_text,
issue_summary=issue_summary)
return ('', 204) return ('', 204)
@APP.route("/random_github_issue", methods=['GET'])
def random_github_issue():
github_issues = getattr(g, '_github_issues', None)
if github_issues is None:
github_issues = g._github_issues = pd.read_csv(
SAMPLE_DATA_URL).body.tolist()
return jsonify({
'body':
github_issues[random.randint(0,
len(github_issues) - 1)]
})
if __name__ == '__main__': if __name__ == '__main__':
APP.run(debug=True, host='0.0.0.0', port=80) APP.run(debug=True, host='0.0.0.0', port=80)

3
github_issue_summarization/docker/flask_web/requirements.txt
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@ -1,2 +1,3 @@
Flask==0.12.2 Flask==0.12.2
pandas
requests

57
github_issue_summarization/docker/flask_web/templates/index.html
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@ -1,10 +1,55 @@
<h1>Issue text</h1> <!doctype html>
<html lang="en">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<form action="summary" method="post"> <!-- Bootstrap CSS -->
<p>Enter GitHub issue text:</p> <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
<p><textarea class="scrollabletextbox" name="issue_text" rows=5 cols=100></textarea></p>
<p><input type="submit" value="Submit"/></p>
</form>
<title>Github Issue Summarization</title>
</head>
<body class="text-center">
<form class="form-signin" action="summary" method="post">
<img class="mb-4" src="https://assets-cdn.github.com/images/modules/logos_page/GitHub-Mark.png" alt="" width="72" height="72">
<h1 style="margin-top: -20px;">Github Issue Summarization</h1>
<p style="margin-left: 20%; margin-right: 20%;">Instructions: This is a demo of the github issue summarization <a href="https://github.com/hamelsmu/Seq2Seq_Tutorial" target="_blank">model</a> by <a href="https://github.com/hamelsmu" target="_blank">Hamel Husain.</a> Enter the body of a github issue or the url of a github issue and click on Submit. The model then tries to generate a title or summary of the issue.</p>
<h3 class="h3 mb-3 font-weight-normal">Enter Github Issue Body</h3>
<p><button id="generate_random_issue_button" type="button">Populate Random Issue</button></p>
<p><textarea id="issue_body_textarea" class="scrollabletextbox" name="issue_text" rows=8 cols=100></textarea></p>
<h3 class="h3 mb-3 font-weight-normal">OR Enter Github Issue URL</h3>
<p><input id="issue_url_textarea" name="issue_url" type="text" size="100" placeholder="https://github.com/kubeflow/kubeflow/issues/157"></input></p>
<p><button id="submit" type="button">Generate Title</button></p>
</form>
<div id="generated_title_div" style="display: none;">
<h2>Machine Generated Title</h2>
<p style="margin-right: 20%; margin-left: 20%;" id="generated_title"></p>
</div>
<p style="font-style: italic; margin-right: 20%; margin-left: 20%; margin-top: 40px;" id="generated_title">This demo is run using <a target="_blank" href="https://github.com/kubeflow/kubeflow/">Kubeflow</a> - a machine learning toolkit for Kubernetes. Kubeflow is dedicated to making deployment of machine learning on Kubernetes simple, portable and scalable.</p>
<!-- Optional JavaScript -->
<!-- jQuery first, then Popper.js, then Bootstrap JS -->
<script src="https://code.jquery.com/jquery-3.3.1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js" integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q" crossorigin="anonymous"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js" integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl" crossorigin="anonymous"></script>
<script type="text/javascript">
$("#generate_random_issue_button").click(function(){
$.ajax({url: window.location.pathname + "random_github_issue", success: function(result){
$("#issue_body_textarea").html(result.body);
}});
});
$("#submit").click(function(){
$("#generated_title").html("");
var issue_body_textarea = $("#issue_body_textarea").val();
var issue_url_textarea = $("#issue_url_textarea").val();
$.post(window.location.pathname + "summary", {issue_text: issue_body_textarea, issue_url: issue_url_textarea}, function(result){
$("#generated_title").html("“" + result.summary + "”");
$("#issue_body_textarea").html(result.body);
$("#generated_title_div").show();
});
});
</script>
</body>
</html>

7
github_issue_summarization/docker/flask_web/templates/issue_summary.html
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@ -1,7 +0,0 @@
<h1>Issue Summary</h1>
<p>{{issue_summary}}</p>
<h2>Issue text</h1>
<p>{{issue_text}}</p>