Implement Speech and Language Solutions with Pre-trained APIs

ARC132 — Implement Speech and Language Solutions with Pre-trained APIs: Challenge Lab

Estimated time: 15 minutes

# Cloud Speech API Challenge Lab This Challenge Lab assigns **random file names, API keys, and foreign language sentences** to every learner. Follow the execution sequence below exactly as shown. ## 🚀 Step-by-Step Instructions ### 🔹 Step 1 — Generate Your API Key (Manual) Before running any commands: 1. Open the **Google Cloud Console**. 2. Navigate to: - **Navigation Menu → APIs & Services → Credentials** 3. Click: - **Create Credentials → API Key** 4. Copy the generated **API Key*

GREEN='\e[1;32m'
CYAN='\e[1;36m'
YELLOW='\e[1;33m'
MAGENTA='\e[1;35m'
RESET='\e[0m'
BOLD='\e[1m'

clear
echo -e "${CYAN}${BOLD}╔════════════════════════════════════════════════════════╗${RESET}"
echo -e "${CYAN}${BOLD}               ORBIT OF OPS - CLOUD SPEECH LAB           ${RESET}"
echo -e "${CYAN}${BOLD}╚════════════════════════════════════════════════════════╝${RESET}\n"

echo -e "${YELLOW}${BOLD}Please enter the specific variables from your lab manual:${RESET}"
read -p "Enter API Key: " API_KEY
read -p "Enter Task 2 File Name: " task_2_file_name
read -p "Enter Task 3 Request File Name: " task_3_request_file
read -p "Enter Task 3 Response File Name: " task_3_response_file
read -p "Enter Task 4 Sentence to Translate: " task_4_sentence
read -p "Enter Task 4 Output File Name: " task_4_file
read -p "Enter Task 5 Sentence to Detect: " task_5_sentence
read -p "Enter Task 5 Output File Name: " task_5_file
echo ""

export PROJECT_ID=$(gcloud config get-value project)
export ZONE=$(gcloud compute project-info describe --format="value(commonInstanceMetadata.items[google-compute-default-zone])" 2>/dev/null)

if [ -z "$ZONE" ]; then
    export ZONE=$(gcloud config get-value compute/zone 2>/dev/null)
fi

export VM_NAME=$(gcloud compute instances list --format="value(name)" | head -n 1)

echo -e "${YELLOW}${BOLD}[*] Project ID: ${PROJECT_ID}${RESET}"
echo -e "${YELLOW}${BOLD}[*] Zone      : ${ZONE}${RESET}"
echo -e "${YELLOW}${BOLD}[*] Target VM : ${VM_NAME}${RESET}\n"

# Save state securely for Command 2
cat > ~/.orbit_env <<EOF
export API_KEY="${API_KEY}"
export PROJECT_ID="${PROJECT_ID}"
export ZONE="${ZONE}"
export VM_NAME="${VM_NAME}"
export task_2_file_name="${task_2_file_name}"
export task_3_request_file="${task_3_request_file}"
export task_3_response_file="${task_3_response_file}"
export task_4_sentence="${task_4_sentence}"
export task_4_file="${task_4_file}"
export task_5_sentence="${task_5_sentence}"
export task_5_file="${task_5_file}"
EOF

echo -e "${GREEN}${BOLD}>>> VARIABLES LOCKED! Proceed to Command (2 of 2). <<<${RESET}"

GREEN='\e[1;32m'
CYAN='\e[1;36m'
YELLOW='\e[1;33m'
BLUE='\e[1;34m'
MAGENTA='\e[1;35m'
RESET='\e[0m'
BOLD='\e[1m'

source ~/.orbit_env

echo -e "${CYAN}${BOLD}[*] Compiling Remote Execution Payload...${RESET}"

# Step 1: Inject variables safely at the top of the payload
cat > remote_payload.sh <<EOF
#!/bin/bash
export API_KEY="${API_KEY}"
export task_2_file_name="${task_2_file_name}"
export task_3_request_file="${task_3_request_file}"
export task_3_response_file="${task_3_response_file}"
export task_4_sentence="${task_4_sentence}"
export task_4_file="${task_4_file}"
export task_5_sentence="${task_5_sentence}"
export task_5_file="${task_5_file}"
EOF

# Step 2: Append the raw execution script
cat >> remote_payload.sh <<'EOF_SCRIPT'
echo "--> Setting up environment..."
audio_uri="gs://cloud-samples-data/speech/corbeau_renard.flac"
export PROJECT_ID=$(gcloud config get-value project)

echo "--> Activating Python Virtual Environment..."
source venv/bin/activate

echo "--> [Task 2] Generating synthetic speech JSON..."
cat > synthesize-text.json <<EOF
{
   "input":{
      "text":"Cloud Text-to-Speech API allows developers to include natural-sounding, synthetic human speech as playable audio in their applications. The Text-to-Speech API converts text or Speech Synthesis Markup Language (SSML) input into audio data like MP3 or LINEAR16 (the encoding used in WAV files)."
   },
   "voice":{
      "languageCode":"en-gb",
      "name":"en-GB-Standard-A",
      "ssmlGender":"FEMALE"
   },
   "audioConfig":{
      "audioEncoding":"MP3"
   }
}
EOF

echo "--> [Task 2] Calling Text-to-Speech API..."
curl -s -H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @synthesize-text.json "https://texttospeech.googleapis.com/v1/text:synthesize" \
> $task_2_file_name

echo "--> [Task 3] Generating Speech-to-Text request JSON..."
cat > "$task_3_request_file" <<EOF
{
   "config": {
      "encoding": "FLAC",
      "sampleRateHertz": 44100,
      "languageCode": "fr-FR"
   },
   "audio": {
      "uri": "$audio_uri"
   }
}
EOF

echo "--> [Task 3] Calling Speech-to-Text API..."
curl -s -X POST -H "Content-Type: application/json" \
--data-binary @"$task_3_request_file" \
"https://speech.googleapis.com/v1/speech:recognize?key=${API_KEY}" \
-o "$task_3_response_file"

echo "--> [Task 4] Calling Translation API (Translate)..."
response=$(curl -s -X POST \
-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "{\"q\": \"$task_4_sentence\"}" \
"https://translation.googleapis.com/language/translate/v2?key=${API_KEY}&source=ja&target=en")

echo "$response" > "$task_4_file"

echo "--> [Task 5] Calling Translation API (Detect)..."
curl -s -X POST \
-H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "{\"q\": [\"$task_5_sentence\"]}" \
"https://translation.googleapis.com/language/translate/v2/detect?key=${API_KEY}" \
-o "$task_5_file"

EOF_SCRIPT

echo -e "${YELLOW}${BOLD}[*] Deploying and Executing Payload on ${VM_NAME}...${RESET}"
gcloud compute scp remote_payload.sh $VM_NAME:~ --zone=$ZONE --quiet
gcloud compute ssh $VM_NAME --zone=$ZONE --quiet --command="bash ~/remote_payload.sh"

rm remote_payload.sh ~/.orbit_env

echo -e "\n${GREEN}${BOLD}>>> MISSION COMPLETE! Check all progress bars in Qwiklabs. <<<${RESET}"