So Everything works :) 🥇 Also Happy Easter :)
So I run the program whether it be the loop or the program itself, I say K9 and snowboy detects it, then I say Hello, He says Hello I am K9, then snowboy waits to detect again, I say K9 and snowboy detects it, then it says lights on I say What time is it, but the transcription doesnt show up, it says lights off and then this error appears. I know the error is about the Speech to Text service because I copied the code below and pasted it after tts is called and it gives the same error The error is happening after it detects k9 and second time and begins to transcribe or in the case where i pasted it happens immediately upon running the code below Error is further down
with open('my_voice.wav') as f:
speech_to_text.recognize_with_websocket(audio=f,content_type='audio/l16; rate=44100', recognize_callback=mycallback)
while not finished:
time.sleep(0.1)

Traceback (most recent call last):
File "/home/pi/K9/k9-chess-angular-master/python/working.py", line 10, in
import os, sys, subprocess, threading, time, json, re, signal, snowboydecoder, working
File "/home/pi/K9/k9-chess-angular-master/python/working.py", line 139, in
speech_to_text.recognize_with_websocket(audio=f,content_type='audio/l16; rate=44100', recognize_callback=mycallback)
File "/usr/local/lib/python2.7/dist-packages/watson_developer_cloud/speech_to_text_v1.py", line 279, in recognize_with_websocket
RecognizeListener(audio, options, recognize_callback, url, headers)
File "/usr/local/lib/python2.7/dist-packages/watson_developer_cloud/websocket/speech_to_text_websocket_listener.py", line 47, in init
reactor.run() # pylint: disable=E1101
File "/home/pi/.local/lib/python2.7/site-packages/twisted/internet/base.py", line 1242, in run
self.startRunning(installSignalHandlers=installSignalHandlers)
File "/home/pi/.local/lib/python2.7/site-packages/twisted/internet/base.py", line 1222, in startRunning
ReactorBase.startRunning(self)
File "/home/pi/.local/lib/python2.7/site-packages/twisted/internet/base.py", line 730, in startRunning
raise error.ReactorNotRestartable()
ReactorNotRestartable

The Opponent Profiler should aspire to consist of:

• A data model for all the things we might want to know about a opponent and data store for active players in that model. These should be both chess-specific facts and profiled data plus as appropriate wider human pieces of information - as much as we may consider potentially useful in gaining an edge over them.
• Interfaces which allow any elements of the player profile to be queried and pulled by other components of the system

To achieve this:

• It is envisaged OP will have access to a main player database (need to define source of this - it might be problematic to nick Chessbase's!) for the retrieval of player static data (age, nationality, title, current rating perhaps ...)
  (NOT intended for first iteration, but these are the later goals)
• Chronological data on the player - rating history, events played, achievements (titles, prizes, etc.)
• Profiled data - mined from game data and elsewhere - worst opponents, best opponents; stats by opening, usage of time, inference of style e.g. - aggressive, positional, strong in endgames, etc.
• Profiled data can be added to when K-9 plays the opponent because he gets direct, detailed information.

Migrate the connection settings page and websocket code to Angular 2 and TypeScript

Minimum definition of done:

• Works with sensor data provided as per test harness
• 99.9% accuracy based on simulated data set
• Robot modeled as 1125mm x 445mm rectangle
• Collision processing on Raspberry Pi
• Collision detection based on 27 readings at low speeds and 13 readings at high speed

Desirable definition of done:

• Robot modeled as 8 sided convex polygon or better
• Collision processing offloaded to Espruino
• Collision detection based on >27 readings at low speed

(Excuse my poor writing its late) So how would I send the output of the transcription to Watson Conversation and then get the reply back as a string?

This includes the wrapping of the chosen chess playing engine, which we are so far targeting to be Stockfish

Move from the current five tab phone based UI to a user story driven UI that is optimised for tablets.

Enhance the existing robot with the ability to sense its environment and make automated changes to its direction and speed based on input from sensors. This should include the ability to stop and make minor corrections to avoid obstacles. It should also include the ability to stop the robot from entering into dangerous maneuvers. This includes spinning or turning at high speed, spinning when not enough room or reversing at high speed.

This is envisaged as an "administrative" web UI for the setup and control of an chess event (match, or in future other, e.g. Training). Whilst other modes of interaction with K-9's chess functions will later be made available (e.g. voice), the Control App is intended to be first and foremost means of controlling match setup and managing matches as they progress.

I have no idea what happened I've been keeping up with your commits adding them In when you commit them but this error has returned now
Traceback (most recent call last):
File "/home/pi/K9/k9-chess-angular-master/python/lastone.py", line 126, in
answer = results.group(1)
AttributeError: 'NoneType' object has no attribute 'group'

Replace the manual guidance of the robot with the ability to follow a hand-held ultrasonic transducer (transmitter). This will require multiple ultrasonic receivers around the body of the robot to enable the direction of the sound to be quickly deduced.
The resulting activity should be constrained by the same safe driving algorithms as the manual control.

The motherboard holds all of K9's key processing and interface components on a single removable board so that he can easily be separated from the shell and the motor board

Stop ears when dog is in rest mode

Modification to Python Motor Controller

Create a follow me page on the Angular 2 framework.

Page should include:
K9 eye camera
visualization of proximity sensor feeds
visualization of ultrasonic follow me signals
basic minimum controls (heel/stay, emergency stop, get out of the way)

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