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Uso de IA para avaliações detalhadas.","maintainers":[{"name":"gabrielportugal","email":"gabrielpguadelupe@gmail.com"}],"readme":"# A4PM Transcription Analyzer\r\n\r\nO A4PM Transcription Analyzer é um plugin para Vue2 projetado para analisar e processar transcrições de áudio. Utiliza modelos de IA para fornecer análises detalhadas, correções e avaliações do texto transcrito, ideal para ambientes médicos e outros contextos profissionais.\r\n\r\n## LINK NPM\r\n\r\nhttps://www.npmjs.com/package/a4pm-transcription-analyzer?activeTab=readme\r\n\r\n## Instalação\r\n\r\nPara instalar o plugin, utilize npm:\r\n\r\n```bash\r\nnpm install a4pm-transcription-analyzer\r\n```\r\n\r\n## Uso\r\n\r\nDepois de instalar o plugin, você pode usar o componente TranscriptionAnalyzer em seu projeto Vue.js. Aqui está um exemplo de como integrá-lo em seu código:\r\n\r\n```sh\r\n<template>\r\n  <div>\r\n    <!-- Seu conteúdo aqui -->\r\n    <TranscriptionAnalyzer ref=\"TranscriptionAnalyzer\"\r\n      :apiKey=\"apiKey\"\r\n      :analyzeInformation=\"analyzeInformation\"\r\n      :analyzeExtra=\"analyzeExtra\"\r\n      :onlyTranscript=\"onlyTranscript\"\r\n      :muteVoice=\"muteVoice\"\r\n      @onStartRecognition=\"onStartRecognition\"\r\n      @onStopRecognition=\"onStopRecognition\"\r\n      @onTranscription=\"onTranscription\"\r\n      @onAnalysis=\"onAnalysis\"\r\n      @onError=\"onError\"\r\n      @onClean=\"onClean\"\r\n      @onStartAPIAnalysis=\"onStartAPIAnalysis\"\r\n      @onSpeakStart=\"onSpeakStart\"\r\n      @onSpeakStop=\"onSpeakStop\"\r\n    />\r\n  </div>\r\n</template>\r\n\r\n<script>\r\nimport TranscriptionAnalyzer from 'a4pm-transcription-analyzer';\r\n\r\nexport default {\r\n  components: {\r\n    TranscriptionAnalyzer\r\n  },\r\n  data() {\r\n    return {\r\n      apiKey: 'YOUR_API_KEY_HERE',\r\n      analyzeInformation: {\r\n        exemplo1: 'dados da analise',\r\n        exemplo2: 'dados da analise'\r\n      },\r\n      analyzeExtra: '',\r\n      onlyTranscript: false\r\n      muteVoice: false,\r\n    };\r\n  },\r\n  methods: {\r\n    onStartRecognition () {\r\n      console.log('Início da Transcrição');\r\n      // Lógica para lidar com a início da transcrição\r\n    },\r\n    onStopRecognition () {\r\n      console.log('Parada da Transcrição');\r\n      // Lógica para lidar com a parada da transcrição\r\n\r\n    },\r\n    onTranscription () {\r\n      console.log('Transcrição recebida:', transcription);\r\n      // Lógica para lidar com a transcrição\r\n    },\r\n    onAnalysis () {\r\n      console.log('Análise recebida:', analysis);\r\n      // Lógica para lidar com a análise\r\n    },\r\n    onError (error) {\r\n      console.log('Erro na transcrição:', error);\r\n      // Lógica para lidar com os erros da transcrição\r\n    },\r\n    onClean () {\r\n      console.log('Aviso que a transcrição foi limpa');\r\n      // Lógica para lidar com a limpeza da transcrição\r\n    },\r\n    onStartAPIAnalysis (event) {\r\n      console.log('Evento que avisa que iniciou ou terminou a análise da transcrição:', event);\r\n      // Lógica para lidar com o início/término da transcrição\r\n    },\r\n    onSpeakStart () {\r\n      console.log('Evento que avisa que começou a conversão do texto em fala:', event);\r\n      // Lógica para lidar com o início da conversão do texto em fala\r\n    },\r\n    onSpeakStop () {\r\n      console.log('Evento que avisa que terminou a conversão do texto em fala:', event);\r\n      // Lógica para lidar com o término da conversão do texto em fala\r\n    },\r\n\r\n    speak () {\r\n      const textToSpeak = 'Frase que deseja que seja sintetizada';\r\n      const rate = 1;\r\n      const pitch = 1;\r\n      this.$refs.TranscriptionAnalyzer.speak(textToSpeak, rate, pitch);\r\n    },\r\n    stopSpeak () {\r\n      this.$refs.TranscriptionAnalyzer.stopSpeak();\r\n    },\r\n  }\r\n}\r\n</script>\r\n\r\n<style>\r\n/* Seu estilo aqui */\r\n</style>\r\n```\r\n\r\n## Propriedades\r\n\r\n- ':apiKey' (String): A chave da API necessária para autenticação com o serviço de análise.\r\n- ':analyzeInformation' (Object): Objeto contendo as informações para análise. Exemplo:\r\n\r\n```sh\r\n{\r\n  queixaPrincipal: 'queixa principal que tem',\r\n  key1: 'descrição da key1',\r\n  key2: 'descrição da key2'\r\n}\r\n```\r\n\r\n- ':analyzeExtra' (String ou null): Informações adicionais para análise, se necessário.\r\n- ':onlyTranscript' (Boolean. Default: false): Define se o processo será exclusivamente de transcrição, sem gravação e armazenamento de áudio.\r\n- ':muteVoice' (Boolean. Default: false): Silencia ou não a voz ao chamar a função pública speak.\r\n\r\n## Eventos\r\n@onStartRecognition: Emite um evento indicando o início da transcrição.\r\n@onStopRecognition: Emite um evento indicando o término da transcrição.\r\n@onTranscription: Emite a transcrição recebida após a análise.\r\n@onAnalysis: Emite a análise detalhada do texto transcrito.\r\n@onError: Emite um evento indicando um erro ocorrido.\r\n@onClean: Emite um evento indicando a limpeza da transcrição.\r\n@onStartAPIAnalysis: Emite um evento indicando o início/término da análise da transcrição.\r\n@onSpeakStart: Emite um evento indicando o início da síntese de fala.\r\n@onSpeakStop: Emite um evento indicando o término da síntese de fala.\r\n\r\n## Funções Públicas\r\n- this.$refs.\"ref\".speak(text, rate, pitch): Inicia a síntese de fala para a frase fornecida.\r\n  - {string} text - O texto a ser convertido em fala.\r\n  - {number} [rate = 1] - A velocidade da fala (1 é a velocidade normal).\r\n  - {number} [pitch = 1] - O tom da fala (1 é o tom normal).\r\n- this.$refs.\"ref\".stopSpeak(): Interrompe a síntese de fala para a frase fornecida.\r\n\r\n## Créditos\r\n- Desenvolvedor: Gabriel Portugal Guadelupe dos Santos\r\n- Contato: gabrielpguadelupe@gmail.com\r\n- Criado em: Julho/2024 ","readmeFilename":"README.md"}