ChatGpt intergration

[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

[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?