Combined Cloud Managed Services

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# Azure Speech & Translator with Key Vault Integration

## 🥤 Overview

This setup securely connects to Azure Speech-to-Text and Translator services using secrets stored in Azure Key Vault, accessed via `DefaultAzureCredential`.

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## 🔐 Azure Key Vault Setup

1. Create a Key Vault in Azure Portal. 2. Add the following secrets:

3. Assign the executing identity (e.g. user or Managed Identity):

• Role: Key Vault Secrets User
• Scope: Your Key Vault resource

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## 👤 Local Setup (Developer Machine)

### 1. Install tools:

```bash brew install azure-cli pip install azure-identity azure-keyvault-secrets azure-cognitiveservices-speech requests ```

### 2. Authenticate:

```bash az login ```

This enables `DefaultAzureCredential` to work locally.

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## 🤠 Full Python Script Using Azure Key Vault

```python
import azure.cognitiveservices.speech as speechsdk
import requests
from azure.identity import DefaultAzureCredential
from azure.keyvault.secrets import SecretClient

# 🔐 Load secrets from Azure Key Vault
VAULT_NAME = "your-keyvault-name"  # Replace with your Key Vault name
KV_URI = f"https://{VAULT_NAME}.vault.azure.net"
credential = DefaultAzureCredential()
secret_client = SecretClient(vault_url=KV_URI, credential=credential)

# Fetch secrets
speech_key = secret_client.get_secret("speech-key").value
speech_region = secret_client.get_secret("speech-region").value
translator_key = secret_client.get_secret("translator-key").value
translator_region = secret_client.get_secret("translator-region").value

# 🌍 Language settings
SPEECH_LANGUAGE = "en-US"
TARGET_LANGUAGE = "ta"  # Tamil

# 🎤 Speech Recognition
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=speech_region)
speech_config.speech_recognition_language = SPEECH_LANGUAGE
recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)

print("🎤 Say something...")
result = recognizer.recognize_once()

if result.reason == speechsdk.ResultReason.RecognizedSpeech:
    text = result.text
    print("✅ Recognized:", text)

    # 🌐 Translate
    endpoint = f"https://api.cognitive.microsofttranslator.com/translate?api-version=3.0&to={TARGET_LANGUAGE}"
    headers = {
        "Ocp-Apim-Subscription-Key": translator_key,
        "Ocp-Apim-Subscription-Region": translator_region,
        "Content-Type": "application/json"
    }
    body = [{"text": text}]
    response = requests.post(endpoint, headers=headers, json=body)

    if response.status_code == 200:
        translated = response.json()[0]["translations"][0]["text"]
        print(f"🌍 Translated ({TARGET_LANGUAGE}): {translated}")
    else:
        print("❌ Translation failed:", response.status_code)
        print("🔍", response.text)

elif result.reason == speechsdk.ResultReason.NoMatch:
    print("⚠️ Speech not recognized.")
elif result.reason == speechsdk.ResultReason.Canceled:
    print("❌ Error:", result.cancellation_details.reason)
```

## Test result