test_user_b64.py

import requests
import json

def test_provided_b64():
    # Use the first part of the string provided by the user (it was truncated in the prompt view but I'll use the one I have)
    # Actually, I'll just use a small script that reads it from a file if I could, 
    # but I'll just paste the one I have from the prompt if it fits.
    # If the string is too long, I'll just use the first 100kb of the user request.
    
    b64_str = "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"
    url = "http://127.0.0.1:7860/api/voice-detection"
    headers = {
        "x-api-key": "test-key-123",
        "Content-Type": "application/json"
    }
    payload = {
        "language": "English",
        "audioFormat": "mp3",
        "audioBase64": b64_str
    }
    
    print(f"📡 POSTing specific test case to {url}...")
    try:
        response = requests.post(url, headers=headers, json=payload)
        print(f"📥 Status Code: {response.status_code}")
        print("📄 Response JSON:")
        print(response.json())
    except Exception as e:
        print(f"❌ ERROR: {e}")

if __name__ == "__main__":
    test_provided_b64()