VrAssist.py

import wx
import wikipedia
import wolframalpha
import speech_recognition as sr

class PyvaFrame(wx.Frame):
	def __init__(self):
		wx.Frame.__init__(self,None,
			pos = wx.DefaultPosition, size = wx.Size(450,100),
			style = wx.MINIMIZE_BOX | wx.SYSTEM_MENU | wx.CAPTION |
			wx.CLOSE_BOX | wx.CLIP_CHILDREN,
			title = "PyVa")
		panel = wx.Panel(self)
		my_sizer = wx.BoxSizer(wx.VERTICAL)
		lbl = wx.StaticText(panel,
			label = "How can I help U ?")
		my_sizer.Add(lbl,0,wx.ALL, 5)

		self.txt = wx.TextCtrl(panel,style = wx.TE_PROCESS_ENTER,
			size=(400,30))
		self.txt.SetFocus()
		self.txt.Bind(wx.EVT_TEXT_ENTER, self.OnEnter)
		my_sizer.Add(self.txt,0, wx.ALL, 5)
		panel.SetSizer(my_sizer)
		self.Show()
	
	def OnEnter(self, event):
		input = self.txt.GetValue()
		input = input.lower()
		if input == "":
			r = sr.Recognizer()
			with sr.Microphone() as source:
			    print("Say something!")
			    audio = r.listen(source)
			try:
			    self.txt.SetValue(r.recognize_google(audio))
			except sr.UnknownValueError:
			    print"Google Speech Recognition could not understand audio"
			except sr.RequestError as e:
			    print"Could not request results from Google Speech Recognition service; {0}".format(e)
		else:
			try:
				#wolframalpha
				app_id = "RKLL27-5HG3AP6AUP"
				client  = wolframalpha.Client(app_id)

				result = client.query(input)
				answer = next(result.results).text

				print answer	
				
			except :
				#wikipedia
				#wikipedia.set_lang("en")
				
				print (wikipedia.summary(input)).encode("utf8")

if __name__ == "__main__":
	app = wx.App(True)
	frame = PyvaFrame()
	app.MainLoop()