ChatGpt intergration

sdetweil

@SILLEN-0 also that is the error part of the pm2 logs --lines output

when I am developing

I don’t use pm2,
I just do

npm start  >somefile.txt 2>&1

in the MagicMirror folder

then all the console output is in one file.
adding the logging module will reflect all the modulename.js log statements too

AND you can debug on the mm UI , ctrl-shift-i,
select the sources tab, find your module name.js in the left nav,

and you can put stops on lines of code and step thru it

SILLEN 0

@sdetweil hey. I’m sorry for not being able too answer but i have other stuff going on and a math test coming up. The text is sent over as a string and the module does recieved the string and gets a response from the API it is after that the issue is caused. I Google the error and people say that there is probably a loop in the code somewhere. I will try with the debug module when i have time. I really want too get this too work.

sdetweil

@SILLEN-0 the data back from the api looks like this

    status: 200,
    statusText: 'OK',
    headers: {
      date: 'Sun, 29 Jan 2023 23:56:49 GMT',
      'content-type': 'application/json',
      'content-length': '343',
      connection: 'close',
      'access-control-allow-origin': '*',
      'cache-control': 'no-cache, must-revalidate',
      'openai-model': 'text-davinci-003',
      'openai-organization': 'user-ieyrbalt3azhd9sd82splktg',
      'openai-processing-ms': '2790',
      'openai-version': '2020-10-01',
      'strict-transport-security': 'max-age=15724800; includeSubDomains',
      'x-request-id': 'd341b29147db89ee20886107e22b41a4'
    },
    config: {
      transitional: [Object],
      adapter: [Function: httpAdapter],
      transformRequest: [Array],
      transformResponse: [Array],
      timeout: 0,
      xsrfCookieName: 'XSRF-TOKEN',
      xsrfHeaderName: 'X-XSRF-TOKEN',
      maxContentLength: -1,
      maxBodyLength: -1,
      validateStatus: [Function: validateStatus],
      headers: [Object],
      method: 'post',
      data: '{"model":"text-davinci-003","prompt":"What is the weather like today?","temperature":0.7}',
      url: 'https://api.openai.com/v1/completions'
    },
    request: ClientRequest {
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      _hasBody: true,
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      finished: true,
      _headerSent: true,
      _closed: false,
      socket: [TLSSocket],
      _header: 'POST /v1/completions HTTP/1.1\r\n' +
        'Accept: application/json, text/plain, */*\r\n' +
        'Content-Type: application/json\r\n' +
        'User-Agent: OpenAI/NodeJS/3.1.0\r\n' +
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      _keepAliveTimeout: 0,
      _onPendingData: [Function: nop],
      agent: [Agent],
      socketPath: undefined,
      method: 'POST',
      maxHeaderSize: undefined,
      insecureHTTPParser: undefined,
      path: '/v1/completions',
      _ended: true,
      res: [IncomingMessage],
      aborted: false,
      timeoutCb: null,
      upgradeOrConnect: false,
      parser: null,
      maxHeadersCount: null,
      reusedSocket: false,
      host: 'api.openai.com',
      protocol: 'https:',
      _redirectable: [Writable],
      [Symbol(kCapture)]: false,
      [Symbol(kNeedDrain)]: false,
      [Symbol(corked)]: 0,
      [Symbol(kOutHeaders)]: [Object: null prototype],
      [Symbol(kUniqueHeaders)]: null
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    data: {
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      object: 'text_completion',
      created: 1675036608,
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      choices: [Array],
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  answer: {
    status: 200,
    statusText: 'OK',
    headers: {
      date: 'Sun, 29 Jan 2023 23:56:49 GMT',
      'content-type': 'application/json',
      'content-length': '343',
      connection: 'close',
      'access-control-allow-origin': '*',
      'cache-control': 'no-cache, must-revalidate',
      'openai-model': 'text-davinci-003',
      'openai-organization': 'user-ieyrbalt3azhd9sd82splktg',
      'openai-processing-ms': '2790',
      'openai-version': '2020-10-01',
      'strict-transport-security': 'max-age=15724800; includeSubDomains',
      'x-request-id': 'd341b29147db89ee20886107e22b41a4'
    },
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      xsrfHeaderName: 'X-XSRF-TOKEN',
      maxContentLength: -1,
      maxBodyLength: -1,
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      method: 'post',
      data: '{"model":"text-davinci-003","prompt":"What is the weather like today?","temperature":0.7}',
      url: 'https://api.openai.com/v1/completions'
    },
    request: ClientRequest {
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      useChunkedEncodingByDefault: true,
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      _removedContLen: false,
      _removedTE: false,
      _contentLength: null,
      _hasBody: true,
      _trailer: '',
      finished: true,
      _headerSent: true,
      _closed: false,
      socket: [TLSSocket],
      _header: 'POST /v1/completions HTTP/1.1\r\n' +
        'Accept: application/json, text/plain, */*\r\n' +
        'Content-Type: application/json\r\n' +
        'User-Agent: OpenAI/NodeJS/3.1.0\r\n' +
        'Authorization: Bearer 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\r\n' +
        'Content-Length: 89\r\n' +
        'Host: api.openai.com\r\n' +
        'Connection: close\r\n' +
        '\r\n',
      _keepAliveTimeout: 0,
      _onPendingData: [Function: nop],
      agent: [Agent],
      socketPath: undefined,
      method: 'POST',
      maxHeaderSize: undefined,
      insecureHTTPParser: undefined,
      path: '/v1/completions',
      _ended: true,
      res: [IncomingMessage],
      aborted: false,
      timeoutCb: null,
      upgradeOrConnect: false,
      parser: null,
      maxHeadersCount: null,
      reusedSocket: false,
      host: 'api.openai.com',
      protocol: 'https:',
      _redirectable: [Writable],
      [Symbol(kCapture)]: false,
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      [Symbol(corked)]: 0,
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    data: {
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i don’t see the text of the answer

PraiseU

@sdetweil Hey any updates on this?

PraiseU

@sdetweil Do you have any updates regarding the speech capture process?

sdetweil

@PraiseU I wasn’t working on any speech capture integration.

I outlined the possibilities

PraiseU

@sdetweil Oh okay! I found this Module https://github.com/TheStigh/MMM-VoiceCommander. Do you think it can be useful? or does it still have the problem with accuracy?

sdetweil

@PraiseU said in ChatGpt intergration:

@sdetweil Oh okay! I found this Module https://github.com/TheStigh/MMM-VoiceCommander. Do you think it can be useful? or does it still have the problem with accuracy?

yes, it is built on mmm-voice

PraiseU

@sdetweil Can you shed some light on what you mean by this “this is why the MMM-GoogleAssistant provides mechanisms (recipe) to use the captured text for non- google uses” And how can i approach this? Thanks a lot

sdetweil

@PraiseU it’s exactly what it says.

GoogleAssistant collects text from voice.
but many voice commands are not directed at Google itself. ($search, play, turn on/off lights…)

so, if you write a recipe you can direct the text to other purposes

PraiseU

@sdetweil Oh Okay so If I was to say “GPT Explain software engineering” It will get the text and I can forward it to the module it needs to go to? Do you ahave an examples that can help?

sdetweil

@PraiseU i mentioned how to do that before

PraiseU

@sdetweil I think you mis-understood my question? I meant to ask how does the recipes work? Like whats the logic behind it?

sdetweil

@PraiseU come on… think

and investigate, look at the files. maybe his wiki

if you wanted to take arbitrary text that means nothing to YOUR app, and let others do something, how would you do it?

then make it general purpose.

SILLEN 0

@sdetweil so sorry for not being active. i have been on vacation and working on another project. you are right it doesnt seem too give any answer but it does use the “tokens” and that would mean it DOES somhow make an answer but it doesnt get displayed or somthing. i have added some debug logs and now i dont get the maximum callstack error anymore but with the added debug code i get this error when asking “chatgpt say banana”


0|MagicMirror  | [05.03.2023 21:17.49.185] [LOG]   Received ASK_QUESTION notification with payload:  say banana
0|MagicMirror  | [05.03.2023 21:17.49.259] [LOG]   [GATEWAY] [192.168.1.223][GET] /getEXTStatus
0|MagicMirror  | [05.03.2023 21:17.50.205] [LOG]   [GATEWAY] [192.168.1.223][GET] /getEXTStatus
0|MagicMirror  | [05.03.2023 21:17.50.502] [LOG]   Received response from API:  {
0|MagicMirror  |   status: 200,
0|MagicMirror  |   statusText: 'OK',
0|MagicMirror  |   headers: {
0|MagicMirror  |     date: 'Sun, 05 Mar 2023 20:17:50 GMT',
0|MagicMirror  |     'content-type': 'application/json',
0|MagicMirror  |     'content-length': '274',
0|MagicMirror  |     connection: 'close',
0|MagicMirror  |     'access-control-allow-origin': '*',
0|MagicMirror  |     'cache-control': 'no-cache, must-revalidate',
0|MagicMirror  |     'openai-model': 'text-davinci-003',
0|MagicMirror  |     'openai-organization': 'user-pya0hjyay0pss3nexvnux3ro',
0|MagicMirror  |     'openai-processing-ms': '688',
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0|MagicMirror  |     timeout: 0,
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0|MagicMirror  |     validateStatus: [Function: validateStatus],
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0|MagicMirror  |     _header: 'POST /v1/completions HTTP/1.1\r\n' +
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0|MagicMirror  |     model: 'text-davinci-003',
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0|MagicMirror  |   }
0|MagicMirror  | }
0|MagicMirror  | [05.03.2023 21:17.50.503] [LOG]   Error in getResponse:  Empty response from GPT-3 API

i get error in getresponse because the response from the api is empty my updated code is as follows:

chatgpt.js:

Module.register("chatgpt", {
  defaults: {
    question: "What is the weather like today?",
  },

  start: function () {
    console.log("Starting module: " + this.name);
    this.question = this.config.question;
  },

  notificationReceived: function (notification, payload) {
    if (notification === "ASK_QUESTION") {
      this.question = payload.question;
      console.log("Received question: " + this.question);
      this.sendSocketNotification("ASK_QUESTION", this.question);
    }
  },

  socketNotificationReceived: function (notification, payload) {
  console.log("Payload received: ", payload);
  if(notification === "RESPONSE") {
    this.answer = payload.answer;
    console.log("Received answer: " + this.answer);
    console.log("Calling updateDom");
    this.updateDom();
  } else {
    console.log("Unhandled notification: " + notification);
    console.log("Payload: " + payload);
  }
},

  getDom: function () {
    var wrapper = document.createElement("div");
    var question = document.createElement("div");
    var answer = document.createElement("div");

    if (this.answer) {
      answer.innerHTML = this.answer;
    } else {
      answer.innerHTML = "Ask me something";
    }

    question.innerHTML = this.question;
    wrapper.appendChild(question);
    wrapper.appendChild(answer);

    return wrapper;
  },
});

And here is my node_helper.js file:

const NodeHelper = require("node_helper");
const { Configuration, OpenAIApi } = require("openai");

module.exports = NodeHelper.create({
  start: function () {
    console.log("Starting node helper for: " + this.name);
    this.configuration = new Configuration({
      apiKey: "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",
    });
    this.openai = new OpenAIApi(this.configuration);
  },

  // Send a message to the chatGPT API and receive a response
  getResponse: function (prompt) {
    return new Promise(async (resolve, reject) => {
      try {
        const response = await this.openai.createCompletion({
          model: "text-davinci-003",
          prompt: prompt,
          temperature: 0.7,
        });
        console.log("Received response from API: ", response);
        if (response.choices && response.choices.length > 0) {
          var text = response.choices[0].text;
          resolve(text);
        } else {
          reject("Empty response from GPT-3 API");
        }
      } catch (error) {
        console.log("Error in getResponse: ", error);
        reject(error);
      }
    });
  },

  // Handle socket notifications
  socketNotificationReceived: function (notification, payload) {
    if (notification === "ASK_QUESTION") {
      console.log("Received ASK_QUESTION notification with payload: ", payload);
      this.getResponse(payload)
        .then((response) => {
          // create a new object and update the answer property
          var responsePayload = { answer: response };
          console.log("Sending RESPONSE notification with payload: ", responsePayload);
          this.sendSocketNotification("RESPONSE", responsePayload);
        })
        .catch((error) => {
          console.log("Error in getResponse: ", error);
        });
    }
  },
});

note in the node_helper where the error log empty api response is coming from. as i have said multiple times i would love some help if anyone knows how you could fix this issue as i am a beginner in coding. i am trying my best but some help on why this is happening would be great.

sdetweil

@SILLEN-0 the node_helper cannot send that big structure to the module.

sendSocketNotification uses socketio, which uses json stringify on send and parse on the receive.

both are shallow copy functions anyhow

sdetweil

@SILLEN-0 u might want to see this
https://forum.magicmirror.builders/topic/17637/mmm-openai

SILLEN 0

@sdetweil yes i just saw that i will try too use that module and from there send a notifications with the payload of the googleassistant recipie

SILLEN 0

@sdetweil ok i tried with that module and all i changed was in the googleassistant module it should have sent the payload of everything after “chatgpt” but when i say somthing like chatgpt say banana it does send the notification and the notification gets recieved and the module displays an answer but this is what it looks like:
as you see it says undefined and just answer a random question. this is my recipe:

var recipe = {
  transcriptionHooks: {
    "ASK_QUESTION": {
      pattern: "chatgpt (.*)",
      command: "ASK_QUESTION"
    }
  },

  commands: {
    "ASK_QUESTION": {
      notificationExec: {
        notification: "OPENAI_REQUEST",
        payload: (params) => {
          console.log("Debug: params received", params);
          return {
            question: params[1]
          }
        }
      }
    }

the weird thing is is that if im not mistaken in the logs of magicmirror it should say params recieved and then params after but it doesnt. why do you think the module says undefined now but in my module the notification gets recieved and the params after “chatgpt” get sent over with it? but in this module it shows up as undefined?

MMRIZE

@SILLEN-0
The payload should have the strict structure; https://github.com/MMRIZE/MMM-OpenAI#4-request-format