baali baali

## dlAttachments.py
# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
# Make sure you have IMAP enabled in your gmail settings.
# Right now it won't download same file name twice even if their contents are different.

import email
import getpass, imaplib
import os
import sys

detach_dir = '.'

## audio.html
<!DOCTYPE html>
<html manifest="cache.appcache">
  <head>Speech Recognition</head>
  <body>
    <input type="text" x-webkit-speech />
  </body>
</html>

## permute_list.erl
-module('permute_list').
-export([permute/1, permute/2]).

permute(List) ->
    permute(List, length(List)).

permute(List, Length) ->
    Indices = [],
    Permuted_List = [],
    jumble(List, Permuted_List, Indices, Length).

## manual_nltk_bayes_classify.py
from nltk.probability import ELEProbDist, FreqDist
from nltk import NaiveBayesClassifier
from collections import defaultdict

train_samples = {
    'I hate you and you are a bad person': 'neg',
    'I love you and you are a good person': 'pos',
    'I fail at everything and I want to kill people' : 'neg',
    'I win at everything and I want to love people' : 'pos',
    'sad are things are heppening. fml' : 'neg',

## speech2text.py
'''
A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing.
It takes wav file format as input but can be changed to other formats too.
'''

from scikits.audiolab import wavread, play, flacwrite
from numpy import average, array, hstack
import os
import sys
	# Something in lines of http://stackoverflow.com/questions/348630/how-can-i-download-all-emails-with-attachments-from-gmail
	# Make sure you have IMAP enabled in your gmail settings.
	# Right now it won't download same file name twice even if their contents are different.

	import email
	import getpass, imaplib
	import os
	import sys

	detach_dir = '.'
	<!DOCTYPE html>
	<html manifest="cache.appcache">
	<head>Speech Recognition</head>
	<body>
	<input type="text" x-webkit-speech />
	</body>
	</html>
	-module('permute_list').
	-export([permute/1, permute/2]).

	permute(List) ->
	permute(List, length(List)).

	permute(List, Length) ->
	Indices = [],
	Permuted_List = [],
	jumble(List, Permuted_List, Indices, Length).
	from nltk.probability import ELEProbDist, FreqDist
	from nltk import NaiveBayesClassifier
	from collections import defaultdict

	train_samples = {
	'I hate you and you are a bad person': 'neg',
	'I love you and you are a good person': 'pos',
	'I fail at everything and I want to kill people' : 'neg',
	'I win at everything and I want to love people' : 'pos',
	'sad are things are heppening. fml' : 'neg',
	'''
	A hack based on this http://mikepultz.com/2011/03/accessing-google-speech-api-chrome-11/. While with smaller voice samples google speech to text works really good, as length increases quality decreases. So here using audiolab and numPy we are breaking audio sample, in smaller chunks, and removing blank/empty spaces from audio signal and then pushing them to google for processing.
	It takes wav file format as input but can be changed to other formats too.
	'''

	from scikits.audiolab import wavread, play, flacwrite
	from numpy import average, array, hstack
	import os
	import sys