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 {
      _events: [Object: null prototype],
      _eventsCount: 7,
      _maxListeners: undefined,
      outputData: [],
      outputSize: 0,
      writable: true,
      destroyed: false,
      _last: true,
      chunkedEncoding: false,
      shouldKeepAlive: false,
      maxRequestsOnConnectionReached: false,
      _defaultKeepAlive: true,
      useChunkedEncodingByDefault: true,
      sendDate: false,
      _removedConnection: false,
      _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,
      [Symbol(kNeedDrain)]: false,
      [Symbol(corked)]: 0,
      [Symbol(kOutHeaders)]: [Object: null prototype],
      [Symbol(kUniqueHeaders)]: null
    },
    data: {
      id: 'cmpl-6eBpQkPEmW4z1PoxRTTprs8Lhoqn4',
      object: 'text_completion',
      created: 1675036608,
      model: 'text-davinci-003',
      choices: [Array],
      usage: [Object]
    }
  }

  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'
    },
    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 {
      _events: [Object: null prototype],
      _eventsCount: 7,
      _maxListeners: undefined,
      outputData: [],
      outputSize: 0,
      writable: true,
      destroyed: false,
      _last: true,
      chunkedEncoding: false,
      shouldKeepAlive: false,
      maxRequestsOnConnectionReached: false,
      _defaultKeepAlive: true,
      useChunkedEncodingByDefault: true,
      sendDate: false,
      _removedConnection: false,
      _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,
      [Symbol(kNeedDrain)]: false,
      [Symbol(corked)]: 0,
      [Symbol(kOutHeaders)]: [Object: null prototype],
      [Symbol(kUniqueHeaders)]: null
    },
    data: {
      id: 'cmpl-6eBpQkPEmW4z1PoxRTTprs8Lhoqn4',
      object: 'text_completion',
      created: 1675036608,
      model: 'text-davinci-003',
      choices: [Array],
      usage: [Object]
    }
  }

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