Merge pull request #1 from kamidipreetham/develop

v0.2 Release

.dockerignore

@@ -0,0 +1,4 @@
+.vscode
+venv
+dataset
+.DS_Store

Dockerfile

@@ -0,0 +1,11 @@
+FROM ubuntu:18.04
+LABEL author "Preetham Kamidi <[email protected]>"
+RUN apt-get update && apt-get install -y python3-dev python3-pip imagemagick tesseract-ocr libtesseract-dev
+WORKDIR /app
+COPY . .
+RUN mkdir -p /data/files && \
+    pip3 install virtualenv && \
+    python3 -m virtualenv venv -p python3 && \
+    . venv/bin/activate && \
+    pip install -r requirements.txt
+ENTRYPOINT ["/app/entrypoint.sh"]

README.md

@@ -1,2 +1,17 @@
-# verifytweet
-Verify Tweet from Image
+# Verify Tweet
+
+Fake tweet images can be generated using a preset meme template from websites like: [TweetGen](https://www.tweetgen.com/), [Prank Me Not](http://www.prankmenot.com/?twitter_tweet) and [Simitator](http://simitator.com/generator/twitter/tweet) . Verification of such tweets takes a manual work to find the user, scroll through their timeline and matching. A viral fake tweet image can prove crucial at a time.
+
+A fake tweet screenshot looks very convincing, misleading the general public. For example:
+
+|Tweet 1             |  Tweet 2 |
+|:-------------------------:|:-------------------------:|
+|![alt text](https://i.imgur.com/gG1RYiR.png "Tweet 1") | ![alt text](https://i.imgur.com/eTKpOFY.png "Tweet 2")|
+
+Verify Tweet attempts to resolve the problem by letting users upload such tweet screenshots and verify if the user actually tweeted or not. A combination of Image processing, Natural language processing as well as Twitter Search API makes this possible. Due to Twitter API rate limits, currently only tweets from last 7 days can be verified.
+
+## Future features
+
+- [ ] Support for Image links
+- [ ] Processing Status
+- [ ] Support for Tweets with replies

app/config/config.py

@@ -9,6 +9,7 @@ class Config(object):
     APP_HOST = os.getenv('APP_HOST')
     APP_PORT = os.getenv('APP_PORT')
     TIMEOUT = os.getenv('TIMEOUT')
+    MAX_CONTENT_LENGTH = int(os.getenv('MAX_CONTENT_LENGTH'))
     TESSERACT_PATH = os.getenv('TESSERACT_PATH')
     IMAGEMAGICK_PATH = os.getenv('IMAGEMAGICK_PATH')
     UPSCALE_PERCENTAGE = os.getenv('UPSCALE_PERCENTAGE')

app/logger/logger.py

@@ -5,6 +5,6 @@
 root.setLevel(logger.DEBUG)
 handler = logger.StreamHandler(sys.stdout)
 handler.setLevel(logger.DEBUG)
-formatter = logger.Formatter('%(asctime)s -- %(levelname)s -- %(message)s')
+formatter = logger.Formatter(u'%(asctime)s -- %(levelname)s -- %(message)s')
 handler.setFormatter(formatter)
 root.addHandler(handler)

app/router.py

@@ -2,6 +2,7 @@
 import traceback
 
 from flask import Flask, jsonify, request
+from flask_cors import CORS
 
 from app.logger.logger import logger
 from app.services.image import uploader, processor
@@ -11,6 +12,8 @@
 from app.config.config import app_config
 
 app_router = Flask(__name__, static_folder=app_config.FILE_DIRECTORY)
+app_router.config['MAX_CONTENT_LENGTH'] = app_config.MAX_CONTENT_LENGTH
+CORS(app_router)
 
 
 @app_router.route('/health', methods=['GET'])

entrypoint.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+source venv/bin/activate
+python wsgi.py