dalequark

echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list

dalequark

We couldn’t find that file to show.

dalequark

{
  "annotation_results": [ {
    "input_uri": "/family_videos/myuserid/multi_shot_test.mp4",
    "segment": {
      "start_time_offset": {
      
      },
      "end_time_offset": {
        "seconds": 70,
        "nanos": 983000000

dalequark

/*
  * Media Translation Stream
  * @param audio stream
  * @param cb Callback function to execute with results
  */
 async function transcribeAudioMediaStream(audio, cb) { 
  var isFirst = true;
  
  const initialRequest = {
    streamingConfig: {

dalequark

#!/usr/bin/env python

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#

dalequark

let queryResult;
return new Promise(resolve => {
    let silent = true

    detectStream.on('data', data => {
        if (data.recognitionResult) {
            silent = false
            console.log(
                `Intermediate transcript: ${data.recognitionResult.transcript}`
            );

dalequark

/**
 * Copyright 2020 Google Inc. All Rights Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

dalequark

model = tf.keras.models.Sequential([
    tf.keras.layers.Dense(512, activation='relu'),
    tf.keras.layers.Dropout(0.2),
    tf.keras.layers.Dense(32, activation='relu'),
    tf.keras.layers.Dense(1, activation='softmax')
])
model.compile(optimizer='adam',
                            loss='sparse_categorical_crossentropy'),
                            metrics=['accuracy']))
model.fit(x_train, y_train, epochs=5)

dalequark

const dialogflow = require('dialogflow');
const common = require('@google-cloud/common');
const record = require('node-record-lpcm16');
const uuidv1 = require('uuid/v1');
const pump = require('pump');
const Transform = require('readable-stream').Transform;
const fs = require('fs');
const Speaker = require('speaker');
const { PassThrough } = require('stream');

dalequark

# import microphone_stream
import dialogflow_v2 as dialogflow
import pyaudio
import simpleaudio as sa
import re
import os
import sys
import time
 
PROJECT_ID = os.environ["PROJECT_ID"]