Há mais exemplos de AWS SDK disponíveis no repositório AWS Doc SDK Examples
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Exemplos do Amazon Polly usando o script AWS CLI Bash
Os exemplos de código a seguir mostram como realizar ações e implementar cenários comuns usando o script AWS Command Line Interface with Bash com Amazon Polly.
Cenários são exemplos de código que mostram como realizar tarefas específicas chamando várias funções dentro de um serviço ou combinadas com outros Serviços da AWS.
Cada exemplo inclui um link para o código-fonte completo, em que você pode encontrar instruções sobre como configurar e executar o código.
Tópicos
Cenários
O exemplo de código a seguir mostra como:
Limpar os recursos
- AWS CLI com script Bash
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nota
Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no repositório Sample developer tutorials
. #!/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"-
Consulte detalhes da API nos tópicos a seguir na Referência de comandos da AWS CLI .
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