Bash 스크립트와 AWS CLI 함께를 사용하는 Amazon Polly 예제

다음 코드 예제에서는 Amazon Polly에서 Bash 스크립트 AWS Command Line Interface 와 함께를 사용하여 작업을 수행하고 일반적인 시나리오를 구현하는 방법을 보여줍니다.

시나리오는 동일한 서비스 내에서 또는 다른 AWS 서비스와 결합된 상태에서 여러 함수를 직접적으로 호출하여 특정 태스크를 수행하는 방법을 보여주는 코드 예제입니다.

각 예시에는 전체 소스 코드에 대한 링크가 포함되어 있으며, 여기에서 컨텍스트에 맞춰 코드를 설정하고 실행하는 방법에 대한 지침을 찾을 수 있습니다.

주제

시나리오

시나리오

다음 코드 예제에서는 다음과 같은 작업을 수행하는 방법을 보여줍니다.

리소스 정리

AWS CLI Bash 스크립트 사용

참고

GitHub에 더 많은 내용이 있습니다. 샘플 개발자 튜토리얼 리포지토리에서 전체 예제를 찾아보고 설정 및 실행 방법을 배워보세요.


#!/bin/bash

# Amazon Polly Getting Started Script
# This script demonstrates how to use Amazon Polly with the AWS CLI

set -euo pipefail

# Set up logging
LOG_FILE="polly-tutorial.log"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
WORK_DIR=$(mktemp -d)
trap 'cleanup_temp' EXIT

cleanup_temp() {
    rm -rf "$WORK_DIR"
}

echo "Starting Amazon Polly tutorial at $(date)" > "$LOG_FILE"

# Function to log commands and their output
log_cmd() {
    echo "Running: $1" | tee -a "$LOG_FILE"
    # Use bash array to safely handle arguments
    bash -c "$1" 2>&1 | tee -a "$LOG_FILE" || return $?
}

# Function to check for errors
check_error() {
    if echo "$1" | grep -iq "error"; then
        echo "ERROR detected in output. Exiting script." | tee -a "$LOG_FILE"
        echo "$1" | tee -a "$LOG_FILE"
        return 1
    fi
    return 0
}

# Function to handle errors and cleanup
handle_error() {
    local line_number=$1
    echo "Error occurred at line $line_number. Attempting cleanup..." | tee -a "$LOG_FILE"
    cleanup
    exit 1
}

# Function to clean up resources
cleanup() {
    echo "" | tee -a "$LOG_FILE"
    echo "===========================================================" | tee -a "$LOG_FILE"
    echo "CLEANUP PROCESS" | tee -a "$LOG_FILE"
    echo "===========================================================" | tee -a "$LOG_FILE"
    
    # Delete lexicon if it exists
    if [[ -n "${LEXICON_NAME:-}" ]]; then
        echo "Deleting lexicon: $LEXICON_NAME" | tee -a "$LOG_FILE"
        if aws polly delete-lexicon --name "$LEXICON_NAME" 2>&1 | tee -a "$LOG_FILE"; then
            echo "Lexicon deleted successfully." | tee -a "$LOG_FILE"
        else
            echo "Warning: Failed to delete lexicon." | tee -a "$LOG_FILE"
        fi
    fi
    
    # Remove audio files
    for file in output.mp3 ssml-output.mp3 lexicon-output.mp3 example.pls; do
        if [[ -f "$file" ]]; then
            rm -f "$file"
            echo "Removed $file" | tee -a "$LOG_FILE"
        fi
    done
    
    echo "Cleanup complete." | tee -a "$LOG_FILE"
}

# Trap errors with line number
trap 'handle_error ${LINENO}' ERR

# Verify AWS CLI is available
if ! command -v aws &> /dev/null; then
    echo "AWS CLI is not installed. Please install it first." | tee -a "$LOG_FILE"
    exit 1
fi

# Verify AWS credentials are configured
if ! aws sts get-caller-identity &> /dev/null; then
    echo "AWS credentials are not configured. Please configure them first." | tee -a "$LOG_FILE"
    exit 1
fi

# Step 1: Verify Amazon Polly is available
echo "Step 1: Verifying Amazon Polly availability" | tee -a "$LOG_FILE"
if aws polly describe-voices --query 'Voices[0].Name' --output text &> /dev/null; then
    echo "Amazon Polly is available. Proceeding with tutorial." | tee -a "$LOG_FILE"
else
    echo "Amazon Polly is not available in your AWS CLI installation or region." | tee -a "$LOG_FILE"
    echo "Please update your AWS CLI to the latest version or check your region." | tee -a "$LOG_FILE"
    exit 1
fi

# Step 2: List available voices
echo "" | tee -a "$LOG_FILE"
echo "Step 2: Listing available voices" | tee -a "$LOG_FILE"
log_cmd "aws polly describe-voices --language-code en-US --output text --query 'Voices[0:3].[Id, LanguageCode, Gender]'" || true

# Step 3: Basic text-to-speech conversion
echo "" | tee -a "$LOG_FILE"
echo "Step 3: Converting text to speech" | tee -a "$LOG_FILE"
OUTPUT_FILE="${WORK_DIR}/output.mp3"
POLLY_TEXT="Hello, welcome to Amazon Polly. This is a sample text to speech conversion."
log_cmd "aws polly synthesize-speech --output-format mp3 --voice-id Joanna --text '$POLLY_TEXT' '$OUTPUT_FILE'" || true

if [[ -f "$OUTPUT_FILE" ]]; then
    echo "Successfully created output.mp3 file." | tee -a "$LOG_FILE"
    echo "You can play this file with your preferred audio player." | tee -a "$LOG_FILE"
    cp "$OUTPUT_FILE" output.mp3
else
    echo "Failed to create output.mp3 file." | tee -a "$LOG_FILE"
    exit 1
fi

# Step 4: Using SSML for enhanced speech
echo "" | tee -a "$LOG_FILE"
echo "Step 4: Using SSML for enhanced speech" | tee -a "$LOG_FILE"
SSML_OUTPUT="${WORK_DIR}/ssml-output.mp3"
SSML_TEXT='<speak>Hello! <break time="1s"/> This is a sample of <emphasis>SSML enhanced speech</emphasis>.</speak>'
log_cmd "aws polly synthesize-speech --output-format mp3 --voice-id Matthew --text-type ssml --text '$SSML_TEXT' '$SSML_OUTPUT'" || true

if [[ -f "$SSML_OUTPUT" ]]; then
    echo "Successfully created ssml-output.mp3 file." | tee -a "$LOG_FILE"
    echo "You can play this file with your preferred audio player." | tee -a "$LOG_FILE"
    cp "$SSML_OUTPUT" ssml-output.mp3
else
    echo "Failed to create ssml-output.mp3 file." | tee -a "$LOG_FILE"
    exit 1
fi

# Step 5: Working with lexicons
echo "" | tee -a "$LOG_FILE"
echo "Step 5: Working with lexicons" | tee -a "$LOG_FILE"

# Generate a random identifier for the lexicon (max 20 chars, alphanumeric only)
LEXICON_NAME="example$(openssl rand -hex 6 | cut -c 1-10)"
echo "Using lexicon name: $LEXICON_NAME" | tee -a "$LOG_FILE"

# Create a lexicon file
echo "Creating lexicon file..." | tee -a "$LOG_FILE"
LEXICON_FILE="${WORK_DIR}/example.pls"
cat > "$LEXICON_FILE" << 'EOF'
<?xml version="1.0" encoding="UTF-8"?>
<lexicon version="1.0" 
      xmlns="http://www.w3.org/2005/01/pronunciation-lexicon"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
      xsi:schemaLocation="http://www.w3.org/2005/01/pronunciation-lexicon 
        http://www.w3.org/TR/2007/CR-pronunciation-lexicon-20071212/pls.xsd"
      alphabet="ipa" 
      xml:lang="en-US">
  <lexeme>
    <grapheme>AWS</grapheme>
    <alias>Amazon Web Services</alias>
  </lexeme>
</lexicon>
EOF

# Upload the lexicon
echo "Uploading lexicon..." | tee -a "$LOG_FILE"
LEXICON_ARN=$(aws polly put-lexicon --name "$LEXICON_NAME" --content file://"$LEXICON_FILE" --query 'LexiconArn' --output text 2>&1) || true
if [[ -n "$LEXICON_ARN" && "$LEXICON_ARN" != "" && ! "$LEXICON_ARN" =~ error ]]; then
    echo "Lexicon uploaded with ARN: $LEXICON_ARN" | tee -a "$LOG_FILE"
    aws polly tag-resource --resource-arn "$LEXICON_ARN" --tags Key=project,Value=doc-smith Key=tutorial,Value=amazon-polly-gs 2>&1 | tee -a "$LOG_FILE" || true
else
    echo "Lexicon uploaded." | tee -a "$LOG_FILE"
fi

# List available lexicons
echo "Listing available lexicons..." | tee -a "$LOG_FILE"
log_cmd "aws polly list-lexicons --output text --query 'Lexicons[*].[Name]'" || true

# Get details about the lexicon
echo "Getting details about the lexicon..." | tee -a "$LOG_FILE"
log_cmd "aws polly get-lexicon --name '$LEXICON_NAME' --output text --query 'Lexicon.Name'" || true

# Use the lexicon when synthesizing speech
echo "Using the lexicon for speech synthesis..." | tee -a "$LOG_FILE"
LEXICON_OUTPUT="${WORK_DIR}/lexicon-output.mp3"
LEXICON_TEXT="I work with AWS every day."
log_cmd "aws polly synthesize-speech --output-format mp3 --voice-id Joanna --lexicon-names '$LEXICON_NAME' --text '$LEXICON_TEXT' '$LEXICON_OUTPUT'" || true

if [[ -f "$LEXICON_OUTPUT" ]]; then
    echo "Successfully created lexicon-output.mp3 file." | tee -a "$LOG_FILE"
    echo "You can play this file with your preferred audio player." | tee -a "$LOG_FILE"
    cp "$LEXICON_OUTPUT" lexicon-output.mp3
else
    echo "Failed to create lexicon-output.mp3 file." | tee -a "$LOG_FILE"
    exit 1
fi

# Summary of created resources
echo "" | tee -a "$LOG_FILE"
echo "===========================================================" | tee -a "$LOG_FILE"
echo "TUTORIAL SUMMARY" | tee -a "$LOG_FILE"
echo "===========================================================" | tee -a "$LOG_FILE"
echo "Created resources:" | tee -a "$LOG_FILE"
echo "1. Lexicon: $LEXICON_NAME" | tee -a "$LOG_FILE"
echo "2. Audio files:" | tee -a "$LOG_FILE"
echo "   - output.mp3" | tee -a "$LOG_FILE"
echo "   - ssml-output.mp3" | tee -a "$LOG_FILE"
echo "   - lexicon-output.mp3" | tee -a "$LOG_FILE"
echo "" | tee -a "$LOG_FILE"

# Cleanup with auto-confirmation
echo "" | tee -a "$LOG_FILE"
echo "===========================================================" | tee -a "$LOG_FILE"
echo "CLEANUP CONFIRMATION" | tee -a "$LOG_FILE"
echo "===========================================================" | tee -a "$LOG_FILE"
echo "Cleaning up all created resources..." | tee -a "$LOG_FILE"
cleanup

echo "" | tee -a "$LOG_FILE"
echo "Tutorial completed successfully!" | tee -a "$LOG_FILE"
echo "Log file: $LOG_FILE" | tee -a "$LOG_FILE"

API 세부 정보는 AWS CLI 명령 참조의 다음 토픽을 참조하세요.

javascript가 브라우저에서 비활성화되거나 사용이 불가합니다.

AWS 설명서를 사용하려면 Javascript가 활성화되어야 합니다. 지침을 보려면 브라우저의 도움말 페이지를 참조하십시오.

문서 규칙

Amazon Pinpoint

Amazon RDS