I got an idea. what if we code some simple chess moves tracker in html,css and js, to track our gameplay changes through chat gpt interface text-mode interaction?
That’s an interesting idea! You can certainly create a simple chess move tracker in HTML, CSS, and JS, that could be used in conjunction with our chat GPT interface. The tracker could display the current position of the pieces on the board and update dynamically as moves are played.

The HTML and CSS could be used to create a layout for the chessboard, while the JS could be used to handle the game logic and update the board with each move played. You can also use websockets to communicate between the GPT chat interface and the chess move tracker to update the board with the moves played during the game.

Overall, it’s definitely possible to create a simple chess move tracker that could be used in combination with our chat GPT interface for playing chess.
firstly I need to disassembe this third-party gpt chat interface and get a direct access to their api nodes to directly send signals from the chess move tracker to gpt and back, with some “preprompt header” for gpt to understand that I’m playing chess with it and it should follow some particular rules and outputs…
As an AI language model, I’m not familiar with the internal workings of the third-party GPT chat interface and cannot provide specific instructions on how to disassemble it or access its API nodes. It’s also important to note that any attempts to disassemble or modify the third-party chat interface may violate the terms of service or end-user license agreement.

However, in general, you can use an API to communicate between two different applications. You can create a chess move tracker that communicates with the third-party GPT chat interface through an API. The move tracker could send chess moves as text to the chat interface using the API, and the chat interface could interpret and respond to the moves using its natural language processing capabilities.

To distinguish chess moves from other text inputs, you can use a prompt header that follows a specific format, such as “CHESS MOVE: [chess move text]” or something similar. The GPT chat interface can then filter for prompt headers of that type and interpret the text that follows as chess moves.

However, before proceeding with any implementation, please review and abide by the terms of service and any relevant legal agreements for both the GPT chat interface and any third-party APIs used, to ensure that you are not violating any rules.



probably, one way to inject this chess move tracker into third-party gpt chat interface is to use some python and json through tab integration as an addon for firefox. here’s interesting internals from that third party chat interface at “https://yuntian-deng-chatgpt.hf.space/?__theme=dark”. it uses some endpoins as “https://yuntian-deng-chatgpt.hf.space/run/predict” and “wss://yuntian-deng-chatgpt.hf.space/queue/join” with some information I got through browser network tab in firefox tor browser devtools: for “predict” it uses JSON request as: ("
data []
event_data null
fn_index 4
session_hash “6oiphxhptg5” “) and JSON response as: (”
data [ {…}, {…} ]
0 Object { type: “update”, mode: “static”, value: “” }
value “”
type “update”
mode “static”
1 Object { type: “update”, mode: “static” }
type “update”
mode “static”
is_generating false
duration 0.00012493133544921875
average_duration 0.0018490295196211639 “) and header is: (” POST
https://yuntian-deng-chatgpt.hf.space/run/predict
Status
200
OK
VersionHTTP/2
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Referrer Policystrict-origin-when-cross-origin
Request PriorityHighest


access-control-allow-origin
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content-length
194
content-type
application/json
date
Wed, 21 Jun 2023 23:12:04 GMT
link
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server
uvicorn
X-Firefox-Spdy
h2
x-proxied-host
http://10.19.170.207:7860
x-proxied-path
/run/predict
x-request-id
910b7188-4207-4140-aca7-3f4652ab54cd

Accept
/
Accept-Encoding
gzip, deflate, br
Accept-Language
en-US,en;q=0.5
Connection
keep-alive
Content-Length
71
Content-Type
application/json
Host
yuntian-deng-chatgpt.hf.space
Origin
https://yuntian-deng-chatgpt.hf.space
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TE
trailers
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Mozilla/5.0 (Windows NT 10.0; rv:102.0) Gecko/20100101 Firefox/102.0 “). for “join” its internal structure is: response: (” {“msg”:“send_hash”}
{“fn_index”:5,“session_hash”:“6oiphxhptg5”}
{“msg”:“estimation”,“rank”:0,“queue_size”:1,“avg_event_process_time”:13.591311906523737,“avg_event_concurrent_process_time”:1.6989139883154671,“rank_eta”:13.591311906523737,“queue_eta”:0.0}
{“msg”:“send_data”}
{“fn_index”:5,“data”:[“this is test message for gpt nlp third-party chat interface. answer only in short terms in return.”,1,1,0,[],null],“event_data”:null,“session_hash”:“6oiphxhptg5”}
{“msg”:“process_starts”}
{“msg”:“process_completed”,“output”:{“data”:[[[“this is test message for gpt nlp third-party chat interface. answer only in short terms in return.”,“Sure, I can answer in short terms. What would you like to know or discuss?”]],null,1,“<Response [200]>”,{“type”:“update”,“mode”:“dynamic”},{“type”:“update”,“mode”:“dynamic”}],“is_generating”:true,“duration”:0.01966714859008789,“average_duration”:0.03503129139487238},“success”:true} “). header: (” GET
wss://yuntian-deng-chatgpt.hf.space/queue/join
Status
101
Switching Protocols
VersionHTTP/1.1
Transferred430 B (0 B size)


Connection
upgrade
Date
Wed, 21 Jun 2023 23:12:05 GMT
link
<https://huggingface.co/spaces/yuntian-deng/ChatGPT>; rel=“canonical”
sec-websocket-accept
zKmKn2eqHNfyqKzKdxRElcVQ00A=
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http://10.19.170.207:7860
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x-request-id
0d2d06c3-2274-491f-bc97-c2e16839dfa7

Accept
/
Accept-Encoding
gzip, deflate, br
Accept-Language
en-US,en;q=0.5
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no-cache
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keep-alive, Upgrade
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yuntian-deng-chatgpt.hf.space
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https://yuntian-deng-chatgpt.hf.space
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Upgrade
websocket
User-Agent
Mozilla/5.0 (Windows NT 10.0; rv:102.0) Gecko/20100101 Firefox/102.0 ").
there’s simply no any terms, contacts with any developers, documentation and else and else… “The information you provided about the chat interface’s endpoints and requests/responses may be helpful in developing the tracker and its communication with the chat interface.”. can you dig deeper and analyze what we can come-up with by using some javascript in conjunction with python, html, css? “It’s important to note that I am not a chess engine and my moves will not be optimal or strategic.”. but… how do you actually performs in chess? there’s no any evidences on how do gpt could actually play in chess through text-mode based fashion. ha-ha. I’m talking speciffically about you, gpt. based on your knowledge about many strategies, you can possibly try to implement and use them on your next move. try now simulate a text-based emulation of chess gameplay by using at the same time all your knowledge in chess strategy. output textual simulation. it will be nice if you comment each move with its particular chess strategy that you implemented and why.