We have cloned the project and run it in local host. We ran index.html for front end in one server and ran flask server for backend. The code was working fine and what we spoke is perfectly recognized and the output was shown. But the animation wont give any response. When opened the console log, it is giving an 405 Error like this:

allcsa.js:3104 Browser Environment: OS=win Browser=chrome Java=false
player.js:2 file opened
allcsa.js:49338 CWASA loading configuration
allcsa.js:49295 CWASA configuration starts: cwaclientcfg.json
allcsa.js:8061 Config: Installation base "http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/" used for jasBase
allcsa.js:3762 fetchURI fetching: http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/cwa/cwacfg.json Type=POST
allcsa.js:49300 CWASA initialisation starts
allcsa.js:48956 Starting AvatarGUI 0 ...
allcsa.js:49228 No element for bttnPlaySiGMLText av0
allcsa.js:49228 No element for bttnSuspend av0
allcsa.js:49228 No element for bttnResume av0
allcsa.js:49228 No element for bttnPrevF av0
allcsa.js:49228 No element for bttnNextF av0
allcsa.js:49228 No element for txtFPS av0
allcsa.js:49228 No element for txtaSiGMLText av0
allcsa.js:48338 Starting SigningAvatar 0 ...
allcsa.js:48356 Getting WebGL context
allcsa.js:48526 -------- WebGL Implementation Data --------
allcsa.js:48527 GL Version: WebGL 1.0 (OpenGL ES 2.0 Chromium); GLSL Version: WebGL GLSL ES 1.0 (OpenGL ES GLSL ES 1.0 Chromium)
allcsa.js:48528 Vendor: WebKit; Renderer: WebKit WebGL
allcsa.js:48529 MAX_VERTEX_ATTRIBS: 16; MAX_VERTEX_UNIFORM_VECTORS: 4096
allcsa.js:48530 ---------------------------------------------
allcsa.js:48367 Switch Avatar to marc
allcsa.js:3214 Server given for Animgen processing
allcsa.js:49334 CWASA initialisation ends
allcsa.js:9663 AsynchAvJARScan() stated url=http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/avatars/marc.jar at 2021-01-27T14:20:50.058Z
allcsa.js:9639 AsynchAvJARScan() ended url=http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/avatars/marc.jar entries=9 at 2021-01-27T14:20:50.073Z
allcsa.js:9673 Got DataView for marc: len=1406217 chk=36130 at 2021-01-27T14:20:50.346Z
allcsa.js:48631 Start Binary character load for marc ...
allcsa.js:12240 Mesh: DO_TRX_BONE_UNIFORMS: true, TEST_CPU_TRX_TO_MAT: false, DO_ARM_TWISTS: true, SUPPRESS_A_T: false, USE_TEXTURES: true
allcsa.js:12384 Asynchronous texture PNG URI via AvDef entry for marc.png ...
allcsa.js:3762 fetchURI fetching: http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/cwa/shaders/qskin.vert Type=POST
allcsa.js:3762 fetchURI fetching: http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/cwa/shaders/qskin.frag Type=POST
allcsa.js:48646 Character loaded (Binary): marc.
allcsa.js:48562 Camera: [0,0.23,3.24,5,18,30,-1,-1]
allcsa.js:7775 fetchURI fetched: http://vhg.cmp.uea.ac.uk/tech/jas/vhg2017/cwa/shaders/qskin.frag Status=200
allcsa.js:8237 Shader loaded: shaders/qskin.vert
allcsa.js:8237 Shader loaded: shaders/qskin.frag
allcsa.js:8174 Shader program using: VrtxS=shaders/qskin.vert FragS=shaders/qskin.frag created
allcsa.js:8317 Texture: loaded from source data URL
handler.js:20 Avatar loaded successfully !
handler.js:71 Speech recognition started...
handler.js:89 Speech: hello
handler.js:51 [Deprecation] Synchronous XMLHttpRequest on the main thread is deprecated because of its detrimental effects to the end user's experience. For more help, check https://xhr.spec.whatwg.org/.
HttpClient.get @ handler.js:51
getParsedText @ handler.js:57
recognition.onresult @ handler.js:93
handler.js:58 {"isl_text_string": "hello ", "pre_process_string": " hello"}
player.js:87 tokenize into sentences : hello.
player.js:107 Processed sting : ,hello.,EOL,
handler.js:156 Got tokens
handler.js:175 (2) ["hello.", "EOL"]
handler.js:195 (2) ["hello", "EOL"]
handler.js:200 sigmllength : 850
handler.js:235 maxi is : 876
handler.js:250 [FinalText]
handler.js:251 1
handler.js:101 Speech recognition stopped...
allcsa.js:48480 playSiGMLURL: http://127.0.0.1:5500/SignFiles/hello.sigml
allcsa.js:3762 fetchURI fetching: http://127.0.0.1:5500/SignFiles/hello.sigml Type=POST
allcsa.js:7801 POST http://127.0.0.1:5500/SignFiles/hello.sigml 405 (Method Not Allowed)
Access.fetchURI @ allcsa.js:7801
Data.fetchText @ allcsa.js:7951
SigningAvatar.playSiGMLURL @ allcsa.js:48481
AvatarGUI.playSiGMLURL @ allcsa.js:49045
(anonymous) @ allcsa.js:49398
startPlayer @ animationPlayer.js:42
(anonymous) @ handler.js:270
setInterval (async)
clickme @ handler.js:260
recognition.onresult @ handler.js:95
allcsa.js:7795 fetchURI: Failed for http://127.0.0.1:5500/SignFiles/hello.sigml Status=405
allcsa.js:48458 Uncaught TypeError: Cannot read property 'indexOf' of null
at SigningAvatar.playSiGML (allcsa.js:48458)
at allcsa.js:48311
at allcsa.js:7948
at XMLHttpRequest. (allcsa.js:7796)
SigningAvatar.playSiGML @ allcsa.js:48458
(anonymous) @ allcsa.js:48311
(anonymous) @ allcsa.js:7948
(anonymous) @ allcsa.js:7796
XMLHttpRequest.send (async)
Access.fetchURI @ allcsa.js:7801
Data.fetchText @ allcsa.js:7951
SigningAvatar.playSiGMLURL @ allcsa.js:48481
AvatarGUI.playSiGMLURL @ allcsa.js:49045
(anonymous) @ allcsa.js:49398
startPlayer @ animationPlayer.js:42
(anonymous) @ handler.js:270
setInterval (async)
clickme @ handler.js:260
recognition.onresult @ handler.js:95

This was the console log for the file...👆

Can you consider it as urgent and can you help us to resolve this issue please?

Whenever I press the "Click to Speak" button, the website doesn't take audio input.

whenever i click the speech button, the device will initially show that chrome is using the microphone but just after 4-5 sec, it doesnt show that chrome is using it. and yes no input taken whatsoever

Hello fellow devs,

I noticed your project doesn't specify a license but is making use of the Stanford NLP Parser. The Stanford NLP Parser is provided under two licensing options:

1. The General Public License (v2 or later) for open source software
2. A commercial license for proprietary software

I can assume you intended to make use of the GPL, since the source code is available here on Github. Nevertheless, the GPL has a few simple requirements in order for the license to be effective. One of those requirements is that the derived software must be released under the GPL or an equivalent license.

Taken from https://www.gnu.org/licenses/gpl-howto.html, here's a brief summary of what you need to do to release a program under one of the FSF licenses, such as the GPL:

• Give each file the proper copyright notices. Make sure to clearly identify which versions of the license users can use.
• Add a COPYING file with a copy of the GNU GPL or GNU AGPL.
• Also add a COPYING.LESSER file with a copy of the GNU LGPL, if you use that.
• Put a license notice in each file.

When no free license file is provided, even if you make the source code available like you did here, your software is still considered proprietary because as authors you are the copyright holders. By licensing the software you continue to retain your copyright but give permissions for other people to use it. Adding the copyright notices and a copy of the GPL would make you comply with the GPL in the Stanford NLP Parser.

Feel free to ask me if you have any questions or need help understanding the license.

Best regards,
Javier Cordero

when we try to speak after clicking on the button in the browser, it's continuously heard and doesn't provide any response.

Someone needs to add a requirements.txt file to this repo so everyone knows what is needed to run server.py file.

But the overall dependencies for the server script are:
py -m pip install flask flask-cors nltk six

Minor code optimization.

server.py:156: SyntaxWarning: "is" with 'int' literal. Did you mean "=="?
--
  | if len(list(input_string.split(' '))) is 1: