mirror of https://github.com/velour/catbase.git
59 lines
1.3 KiB
Go
59 lines
1.3 KiB
Go
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package main
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import (
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"encoding/json"
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"flag"
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"fmt"
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"io/ioutil"
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"os"
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"strings"
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"github.com/cdipaolo/goml/base"
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"github.com/cdipaolo/goml/text"
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"github.com/rs/zerolog"
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"github.com/rs/zerolog/log"
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)
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type MetaData struct {
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NClasses uint8
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ClassList []string
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}
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func main() {
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log.Logger = log.With().Caller().Stack().Logger()
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log.Logger = log.Logger.Output(zerolog.ConsoleWriter{Out: os.Stderr})
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jsonPath := flag.String("path", "", "path to model JSON")
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flag.Parse()
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if *jsonPath == "" {
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fmt.Fprintf(os.Stderr, "You must provide a model path.\n\n")
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flag.Usage()
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os.Exit(1)
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}
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input := strings.Join(flag.Args(), " ")
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f, err := ioutil.ReadFile(*jsonPath)
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if err != nil {
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log.Fatal().Err(err).Msgf("error reading json")
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}
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var meta MetaData
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err = json.Unmarshal(f, &meta)
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if err != nil {
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log.Fatal().Err(err).Msgf("error reading json")
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}
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stream := make(chan base.TextDatapoint, 100)
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//errors := make(chan error)
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model := text.NewNaiveBayes(stream, meta.NClasses, base.OnlyWordsAndNumbers)
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err = model.RestoreFromFile(strings.TrimSuffix(*jsonPath, ".json"))
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if err != nil {
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log.Fatal().Err(err).Msgf("error reading json")
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}
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class, prob := model.Probability(input)
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emojy := meta.ClassList[class]
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fmt.Printf("%s: %s (%.2f)\n", input, emojy, prob)
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}
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