added gvertex

.env.example

@@ -0,0 +1 @@
+auth_string={"type":"service_account","project_id":"desivocalprod01","private_key_id":"YOUR_PRIVATE_KEY_ID","private_key":"-----BEGIN PRIVATE KEY-----\nYOUR_PRIVATE_KEY_HERE\n-----END PRIVATE KEY-----\n","client_email":"[email protected]","client_id":"YOUR_CLIENT_ID","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url":"YOUR_CERT_URL"}

README.md

@@ -1,12 +0,0 @@
----
-title: Ringg TTS V1.0
-emoji: 😻
-colorFrom: pink
-colorTo: blue
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,15 +1,13 @@
 import gradio as gr
-import requests
 import json
 import os
 from pathlib import Path
 import uuid
 import fcntl
 import time
+from vertex_client import get_vertex_client
 
 # gr.NO_RELOAD = False
-# API Base URL
-BASE_URL = os.environ.get("BASE_URL", "")
 
 # Counter persistence file
 COUNTER_FILE = Path("generation_counter.json")
@@ -33,7 +31,7 @@ def load_counter():
                     data = json.load(f)
                     fcntl.flock(f.fileno(), fcntl.LOCK_UN)
                     return data.get("count", 0)
-                except:
+                except Exception:
                     # If locking fails, just read without lock
                     f.seek(0)
                     data = json.load(f)
@@ -54,7 +52,7 @@ def save_counter(count):
                 f.flush()
                 os.fsync(f.fileno())
                 fcntl.flock(f.fileno(), fcntl.LOCK_UN)
-            except:
+            except Exception:
                 # If locking fails, just write without lock
                 json.dump({"count": count, "last_updated": time.time()}, f)
                 f.flush()
@@ -75,7 +73,7 @@ def increment_counter():
                 try:
                     data = json.load(f)
                     current_count = data.get("count", 0)
-                except:
+                except Exception:
                     current_count = 0
 
                 # Increment
@@ -90,13 +88,13 @@ def increment_counter():
 
                 fcntl.flock(f.fileno(), fcntl.LOCK_UN)
                 return new_count
-            except:
+            except Exception:
                 # Fallback without locking
                 f.seek(0)
                 try:
                     data = json.load(f)
                     current_count = data.get("count", 0)
-                except:
+                except Exception:
                     current_count = 0
                 new_count = current_count + 1
                 f.seek(0)
@@ -110,11 +108,14 @@ def increment_counter():
 
 
 def get_voices():
-    """Fetch available voices from API"""
+    """Fetch available voices from Vertex AI"""
     try:
-        response = requests.get(f"{BASE_URL}/voices", timeout=10)
-        if response.status_code == 200:
-            voices_data = response.json().get("voices", {})
+        vertex_client = get_vertex_client()
+        success, voices_response = vertex_client.get_voices()
+
+        if success and voices_response:
+            print("✅ Fetched voices from Vertex AI")
+            voices_data = voices_response.get("voices", {})
             # Create a list of tuples (display_name, voice_id)
             voices = []
             for voice_id, voice_info in voices_data.items():
@@ -123,14 +124,16 @@ def get_voices():
                 display_name = f"{name} ({gender})"
                 voices.append((display_name, voice_id))
             return sorted(voices, key=lambda x: x[0])
-        return []
+        else:
+            print("❌ Failed to fetch voices from Vertex AI")
+            return []
     except Exception as e:
-        print(f"Error fetching voices: {e}")
+        print(f"❌ Error fetching voices from Vertex AI: {e}")
         return []
 
 
 def synthesize_speech(text, voice_id):
-    """Synthesize speech from text"""
+    """Synthesize speech from text using Vertex AI"""
     if not text or not text.strip():
         return None, "⚠️ Please enter some text", "", "", "", "", "", ""
 
@@ -142,58 +145,48 @@ def synthesize_speech(text, voice_id):
     print(f"Input text length: {text_length} characters")
 
     try:
-        payload = {"text": text, "voice_id": voice_id}
-
-        response = requests.post(
-            f"{BASE_URL}/synthesize",
-            headers={"Content-Type": "application/json"},
-            json=payload,
-            timeout=30,
+        vertex_client = get_vertex_client()
+        success, audio_bytes, metrics = vertex_client.synthesize(
+            text, voice_id, timeout=60
         )
 
-        if response.status_code == 200:
-            result = response.json()
-
-            if result.get("success"):
-                audio_url = result.get("audio_url", "")
-                metrics = result.get("metrics", {})
+        if success and audio_bytes:
+            print("✅ Synthesized audio using Vertex AI")
+            # Save binary audio to temp file
+            audio_file = f"/tmp/ringg_{str(uuid.uuid4())}.wav"
+            with open(audio_file, "wb") as f:
+                f.write(audio_bytes)
 
-                # Format metrics
+            # Format metrics if available
+            if metrics:
                 total_time = f"{metrics.get('t', 0):.3f}s"
                 rtf = f"{metrics.get('rtf', 0):.4f}"
                 wav_duration = f"{metrics.get('wav_seconds', 0):.2f}s"
                 vocoder_time = f"{metrics.get('t_vocoder', 0):.3f}s"
                 no_vocoder_time = f"{metrics.get('t_no_vocoder', 0):.3f}s"
                 rtf_no_vocoder = f"{metrics.get('rtf_no_vocoder', 0):.4f}"
-
-                status_msg = "✅ Audio generated successfully!"
-
-                return (
-                    audio_url,
-                    status_msg,
-                    total_time,
-                    rtf,
-                    wav_duration,
-                    vocoder_time,
-                    no_vocoder_time,
-                    rtf_no_vocoder,
-                )
             else:
-                error_msg = result.get("message", "Unknown error")
-                return None, f"❌ Synthesis failed: {error_msg}", "", "", "", "", "", ""
-        else:
+                total_time = rtf = wav_duration = vocoder_time = no_vocoder_time = (
+                    rtf_no_vocoder
+                ) = ""
+
+            status_msg = "✅ Audio generated successfully!"
+
             return (
-                None,
-                f"❌ API returned status code: {response.status_code}",
-                "",
-                "",
-                "",
-                "",
-                "",
-                "",
+                audio_file,
+                status_msg,
+                total_time,
+                rtf,
+                wav_duration,
+                vocoder_time,
+                no_vocoder_time,
+                rtf_no_vocoder,
             )
+        else:
+            return None, "❌ Failed to generate audio", "", "", "", "", "", ""
 
     except Exception as e:
+        print(f"❌ Vertex AI synthesis failed: {e}")
         return None, f"❌ Error: {str(e)}", "", "", "", "", "", ""
 
 
@@ -299,26 +292,15 @@ with gr.Blocks(
 
     def on_generate(text, voice_display):
         voice_id = voice_choices.get(voice_display)
-        audio_url, _status, t_time, rtf, wav_dur, voc_time, no_voc_time, rtf_no_voc = (
+        audio_file, _status, t_time, rtf, wav_dur, voc_time, no_voc_time, rtf_no_voc = (
             synthesize_speech(text, voice_id)
         )
 
-        # Download audio if URL is available
-        audio_file = None
-        # Always get fresh counter from file
+        # Get fresh counter from file
         new_count = load_counter()
-        if audio_url:
-            try:
-                audio_response = requests.get(audio_url, timeout=30)
-                if audio_response.status_code == 200:
-                    # Save to temporary file
-                    audio_file = f"/tmp/ringg_{str(uuid.uuid4())}.wav"
-                    with open(audio_file, "wb") as f:
-                        f.write(audio_response.content)
-                    # Atomically increment the UNIVERSAL counter
-                    new_count = increment_counter()
-            except Exception as e:
-                _status = f"⚠️ Audio generated but download failed: {str(e)}"
+        if audio_file:
+            # Atomically increment the UNIVERSAL counter
+            new_count = increment_counter()
 
         # Format metrics as JSON string (only if available)
         has_metrics = any([t_time, rtf, wav_dur, voc_time, no_voc_time, rtf_no_voc])
@@ -345,7 +327,7 @@ with gr.Blocks(
 
     def refresh_counter_on_load():
         """Refresh the universal generation counter when the UI loads/reloads"""
-        return f"**🌍 Generations:** {load_counter()}"
+        return f"**🌍 Generations since last reload:** {load_counter()}"
 
     # Update character count on text input change
     text_input.change(fn=update_char_count, inputs=[text_input], outputs=[char_count])

generation_counter.json

@@ -1,2 +1 @@
-{"count": 1524, "last_updated": 0}
-
+{"count": 3, "last_updated": 1762495500.191227}

pyproject.toml

@@ -5,4 +5,6 @@ requires-python = ">=3.10"
 dependencies = [
     "gradio>=5.49.1",
     "requests>=2.32.5",
+    "google-cloud-aiplatform>=1.38.0",
+    "python-dotenv>=1.0.0",
 ]

requirements.txt

@@ -0,0 +1,81 @@
+aiofiles==24.1.0
+annotated-doc==0.0.3
+annotated-types==0.7.0
+anyio==4.11.0
+brotli==1.1.0
+cachetools==6.2.1
+certifi==2025.10.5
+charset-normalizer==3.4.4
+click==8.3.0
+docstring-parser==0.17.0
+fastapi==0.121.0
+ffmpy==0.6.4
+filelock==3.20.0
+fsspec==2025.10.0
+google-api-core==2.28.1
+google-auth==2.43.0
+google-cloud-aiplatform==1.126.1
+google-cloud-bigquery==3.38.0
+google-cloud-core==2.5.0
+google-cloud-resource-manager==1.15.0
+google-cloud-storage==3.5.0
+google-crc32c==1.7.1
+google-genai==1.49.0
+google-resumable-media==2.7.2
+googleapis-common-protos==1.72.0
+gradio==5.49.1
+gradio-client==1.13.3
+groovy==0.1.2
+grpc-google-iam-v1==0.14.3
+grpcio==1.76.0
+grpcio-status==1.76.0
+h11==0.16.0
+hf-xet==1.2.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==1.0.1
+idna==3.11
+jinja2==3.1.6
+markdown-it-py==4.0.0
+markupsafe==3.0.3
+mdurl==0.1.2
+numpy==2.3.4
+orjson==3.11.4
+packaging==25.0
+pandas==2.3.3
+pillow==11.3.0
+proto-plus==1.26.1
+protobuf==6.33.0
+pyasn1==0.6.1
+pyasn1-modules==0.4.2
+pydantic==2.11.10
+pydantic-core==2.33.2
+pydub==0.25.1
+pygments==2.19.2
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.1
+python-multipart==0.0.20
+pytz==2025.2
+pyyaml==6.0.3
+requests==2.32.5
+rich==14.2.0
+rsa==4.9.1
+ruff==0.14.3
+safehttpx==0.1.7
+semantic-version==2.10.0
+shapely==2.1.2
+shellingham==1.5.4
+six==1.17.0
+sniffio==1.3.1
+starlette==0.49.3
+tenacity==9.1.2
+tomlkit==0.13.3
+tqdm==4.67.1
+typer==0.20.0
+typer-slim==0.20.0
+typing-extensions==4.15.0
+typing-inspection==0.4.2
+tzdata==2025.2
+urllib3==2.5.0
+uvicorn==0.38.0
+websockets==15.0.1

uv.lock

@@ -2,7 +2,8 @@ version = 1
 revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.13'",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
     "python_full_version == '3.12.*'",
     "python_full_version == '3.11.*'",
     "python_full_version < '3.11'",
@@ -176,6 +177,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/7e/c1/ec214e9c94000d1c1974ec67ced1c970c148aa6b8d8373066123fc3dbf06/Brotli-1.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:9011560a466d2eb3f5a6e4929cf4a09be405c64154e12df0dd72713f6500e32b", size = 358517, upload_time = "2024-10-18T12:32:54.066Z" },
 ]
 
+[[package]]
+name = "cachetools"
+version = "6.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cc/7e/b975b5814bd36faf009faebe22c1072a1fa1168db34d285ef0ba071ad78c/cachetools-6.2.1.tar.gz", hash = "sha256:3f391e4bd8f8bf0931169baf7456cc822705f4e2a31f840d218f445b9a854201", size = 31325, upload_time = "2025-10-12T14:55:30.139Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/96/c5/1e741d26306c42e2bf6ab740b2202872727e0f606033c9dd713f8b93f5a8/cachetools-6.2.1-py3-none-any.whl", hash = "sha256:09868944b6dde876dfd44e1d47e18484541eaf12f26f29b7af91b26cc892d701", size = 11280, upload_time = "2025-10-12T14:55:28.382Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.10.5"
@@ -295,6 +305,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload_time = "2022-10-25T02:36:20.889Z" },
 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b2/9d/c3b43da9515bd270df0f80548d9944e389870713cc1fe2b8fb35fe2bcefd/docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912", size = 27442, upload_time = "2025-07-21T07:35:01.868Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/55/e2/2537ebcff11c1ee1ff17d8d0b6f4db75873e3b0fb32c2d4a2ee31ecb310a/docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708", size = 36896, upload_time = "2025-07-21T07:35:00.684Z" },
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.3.0"
@@ -349,6 +368,214 @@ wheels = [
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 ]
 
+[[package]]
+name = "google-api-core"
+version = "2.28.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "google-auth" },
+    { name = "googleapis-common-protos" },
+    { name = "proto-plus" },
+    { name = "protobuf" },
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/61/da/83d7043169ac2c8c7469f0e375610d78ae2160134bf1b80634c482fa079c/google_api_core-2.28.1.tar.gz", hash = "sha256:2b405df02d68e68ce0fbc138559e6036559e685159d148ae5861013dc201baf8", size = 176759, upload_time = "2025-10-28T21:34:51.529Z" }
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+]
+
+[package.optional-dependencies]
+grpc = [
+    { name = "grpcio" },
+    { name = "grpcio-status" },
+]
+
+[[package]]
+name = "google-auth"
+version = "2.43.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cachetools" },
+    { name = "pyasn1-modules" },
+    { name = "rsa" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ff/ef/66d14cf0e01b08d2d51ffc3c20410c4e134a1548fc246a6081eae585a4fe/google_auth-2.43.0.tar.gz", hash = "sha256:88228eee5fc21b62a1b5fe773ca15e67778cb07dc8363adcb4a8827b52d81483", size = 296359, upload_time = "2025-11-06T00:13:36.587Z" }
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+[[package]]
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+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+    { name = "google-api-core", extra = ["grpc"] },
+    { name = "google-auth" },
+    { name = "google-cloud-bigquery" },
+    { name = "google-cloud-resource-manager" },
+    { name = "google-cloud-storage" },
+    { name = "google-genai" },
+    { name = "packaging" },
+    { name = "proto-plus" },
+    { name = "protobuf" },
+    { name = "pydantic" },
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+    { name = "google-cloud-core" },
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+[[package]]
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vertex_client.py

@@ -0,0 +1,198 @@
+"""
+Vertex AI client for TTS synthesis using Google Cloud AI Platform.
+"""
+import os
+import json
+import logging
+import requests
+from typing import Optional, Dict, Any, Tuple
+from google.cloud import aiplatform
+from google.oauth2 import service_account
+from dotenv import load_dotenv
+
+# Load environment variables from .env file (for local development)
+load_dotenv()
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+class VertexAIClient:
+    """Client for interacting with Vertex AI TTS endpoint."""
+
+    def __init__(self):
+        """Initialize the Vertex AI client."""
+        self.endpoint = None
+        self.credentials = None
+        self.initialized = False
+
+    def _load_credentials(self) -> Optional[service_account.Credentials]:
+        """
+        Load credentials from auth_string environment variable.
+
+        Returns:
+            Credentials object or None if failed
+        """
+        try:
+            auth_string = os.environ.get("auth_string")
+            if not auth_string:
+                logger.warning("auth_string environment variable not found")
+                return None
+
+            # Parse JSON credentials
+            credentials_dict = json.loads(auth_string)
+            credentials = service_account.Credentials.from_service_account_info(
+                credentials_dict
+            )
+            logger.info("Successfully loaded credentials from auth_string")
+            return credentials
+
+        except json.JSONDecodeError as e:
+            logger.error(f"Failed to parse auth_string JSON: {e}")
+            return None
+        except Exception as e:
+            logger.error(f"Failed to load credentials: {e}")
+            return None
+
+    def initialize(self) -> bool:
+        """
+        Initialize Vertex AI and find the zipvoice endpoint.
+
+        Returns:
+            True if initialization successful, False otherwise
+        """
+        if self.initialized:
+            return True
+
+        try:
+            # Load credentials
+            self.credentials = self._load_credentials()
+            if not self.credentials:
+                logger.error("Cannot initialize without credentials")
+                return False
+
+            # Initialize Vertex AI
+            aiplatform.init(
+                project="desivocalprod01",
+                location="asia-south1",
+                credentials=self.credentials,
+            )
+            logger.info("Vertex AI initialized for project desivocalprod01")
+
+            # Find the zipvoice endpoint
+            for endpoint in aiplatform.Endpoint.list():
+                if endpoint.display_name == "zipvoice":
+                    self.endpoint = endpoint
+                    self.initialized = True
+                    logger.info(f"Found zipvoice endpoint: {endpoint.resource_name}")
+                    return True
+
+            logger.error("zipvoice endpoint not found in Vertex AI")
+            return False
+
+        except Exception as e:
+            logger.error(f"Failed to initialize Vertex AI: {e}")
+            return False
+
+    def get_voices(self) -> Tuple[bool, Optional[Dict[str, Any]]]:
+        """
+        Get available voices from local configuration file.
+
+        Note: Vertex AI endpoint doesn't have a separate /voices API.
+        Voices are configured in voices_config.json
+
+        Returns:
+            Tuple of (success, voices_dict)
+            voices_dict format: {"voices": {"voice_id": {"name": "...", "gender": "..."}}}
+        """
+        try:
+            # Try to load from voices_config.json in current directory
+            import pathlib
+            config_path = pathlib.Path(__file__).parent / "voices_config.json"
+
+            if config_path.exists():
+                logger.info(f"Loading voices from {config_path}")
+                with open(config_path, "r") as f:
+                    voices_data = json.load(f)
+                logger.info(f"Successfully loaded {len(voices_data.get('voices', {}))} voices from config")
+                return True, voices_data
+            else:
+                logger.warning(f"voices_config.json not found at {config_path}")
+                # Return empty voices list
+                return True, {"voices": {}}
+
+        except Exception as e:
+            logger.error(f"Failed to load voices config: {e}")
+            return False, None
+
+    def synthesize(self, text: str, voice_id: str, timeout: int = 60) -> Tuple[bool, Optional[bytes], Optional[Dict[str, Any]]]:
+        """
+        Synthesize speech from text using Vertex AI endpoint.
+
+        Args:
+            text: Text to synthesize
+            voice_id: Voice ID to use
+            timeout: Request timeout in seconds
+
+        Returns:
+            Tuple of (success, audio_bytes, metrics)
+        """
+        if not self.initialized:
+            if not self.initialize():
+                return False, None, None
+
+        try:
+            logger.info(f"Synthesizing text (length: {len(text)}) with voice {voice_id}")
+            response = self.endpoint.raw_predict(
+                body=json.dumps({
+                    "text": text,
+                    "voice_id": voice_id,
+                }),
+                headers={"Content-Type": "application/json"},
+            )
+
+            # Parse JSON response
+            result = json.loads(response.text) if hasattr(response, 'text') else response
+            logger.info(f"Vertex AI response: {result}")
+
+            # Check if synthesis was successful
+            if result.get("success"):
+                audio_url = result.get("audio_url")
+                metrics = result.get("metrics")
+
+                if not audio_url:
+                    logger.error("No audio_url in successful response")
+                    return False, None, None
+
+                # Download audio from URL
+                logger.info(f"Downloading audio from: {audio_url}")
+                audio_response = requests.get(audio_url, timeout=timeout)
+
+                if audio_response.status_code == 200:
+                    audio_data = audio_response.content
+                    logger.info(f"Successfully downloaded audio ({len(audio_data)} bytes)")
+                    return True, audio_data, metrics
+                else:
+                    logger.error(f"Failed to download audio: HTTP {audio_response.status_code}")
+                    return False, None, None
+            else:
+                error_msg = result.get("message", "Unknown error")
+                logger.error(f"Synthesis failed: {error_msg}")
+                return False, None, None
+
+        except Exception as e:
+            logger.error(f"Failed to synthesize speech with Vertex AI: {e}")
+            return False, None, None
+
+
+# Global instance
+_vertex_client = None
+
+
+def get_vertex_client() -> VertexAIClient:
+    """Get or create the global Vertex AI client instance."""
+    global _vertex_client
+    if _vertex_client is None:
+        _vertex_client = VertexAIClient()
+    return _vertex_client

voices_config.json

@@ -0,0 +1,189 @@
+{
+  "voices": {
+    "6e9ebcc0-7c1e-4261-9362-9b66bf819eaf": {
+      "name": "Bigg Boss Lite",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/55c4611d-5c1a-4df2-9ccb-6405f8d6b829.mp3"
+    },
+    "4089f7a4-b39a-4407-8ee4-4b3bef60b7e8": {
+      "name": "Standard",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/3e585562-a07c-4789-9ba3-baba9c7eb1a2.mp3"
+    },
+    "25548131-6fcd-4aa1-9112-0601ea9cde9e": {
+      "name": "Sales Impact Lite",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/80aeab18-36a4-433a-b4bd-014214f75d88.mp3"
+    },
+    "f0c65873-9fe1-48a6-ac38-cdf1293bb74e": {
+      "name": "Meditation Lite",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/3203fb72-f2a9-4630-8836-50f8abc59c03.mp3"
+    },
+    "cfccf6f0-f92e-4793-ba89-7d19c385a4a6": {
+      "name": "Aryan",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/df2d2665-9df5-4e0a-8451-fc868a614dd2.mp3"
+    },
+    "f9407c73-e283-4da3-9b1f-99929141e0df": {
+      "name": "Audiobook Lite",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/e464252a-26c1-4c62-a1e7-f55ea81f7a48.mp3"
+    },
+    "f40076ea-6aeb-4687-9889-3b773fbaa9f3": {
+      "name": "Wamika Lite",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/Lecture_Hindi.mp3"
+    },
+    "19f41593-8cec-4b16-b375-a6f6ca76db10": {
+      "name": "Kamala",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/6c81cee1-f8b7-450b-9b7a-6054637bf6c4.mp3"
+    },
+    "f55db771-1cce-4f54-a7d6-8b118d321d39": {
+      "name": "Elearning",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/2694c3b4-43dd-4893-8ced-a9b2da5465e5.mp3"
+    },
+    "9c8ab827-6b6e-45ae-936c-f41ede490ead": {
+      "name": "Sales",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/bf13a806-58e9-4ba7-ba8a-e14b941aa96e.mp3"
+    },
+    "1e1e7a72-c04f-46cd-9b65-12f9f5185824": {
+      "name": "Adam",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/1e1e7a72-c04f-46cd-9b65-12f9f5185824.mp3"
+    },
+    "f27d74e5-ea71-4697-be3e-f04bbd80c1a8": {
+      "name": "Marketing",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/c29e3251-f531-4096-b6c3-0dd07573877f.mp3"
+    },
+    "d4025456-83a0-45da-a15b-3ffcce0cd6b8": {
+      "name": "Marketing Lite",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/1b4ac4e8-9eb6-4beb-ad6f-ffc5f275219e.mp3"
+    },
+    "0cc72d86-2959-11ef-b685-a218303b6499": {
+      "name": "Documentary",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/33bb7db6-093a-4ab4-b507-7eab9f96de4d.mp3"
+    },
+    "f671e3c0-c9e2-4b7d-992e-3a8a7d7b7789": {
+      "name": "Swapnil",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/7d8edbfb-cbe0-43e0-82b0-fd91293c0389.mp3"
+    },
+    "c990fbbc-7981-4ed6-b3f1-ee109299b628": {
+      "name": "Palomi",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/81ad91b8-6464-4308-86fe-7b9c9f231c51.mp3"
+    },
+    "e775dbe9-db42-4813-85f7-ec3d5f9934b4": {
+      "name": "Rohit Bollywood",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/906de532-b217-4262-ba99-ab00824231f8.mp3"
+    },
+    "237e7675-3d90-4d6f-856c-c8def47df71f": {
+      "name": "Janvi",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/0bf140a2-10b0-477a-baae-f01cbdb98162.mp3"
+    },
+    "ffade7c0-2958-11ef-b685-a218303b6499": {
+      "name": "Anchor",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/complete-audio+(18).mp3"
+    },
+    "fd5ff2d1-baab-4277-aa0b-fcc75fa46d2f": {
+      "name": "Vivan",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/1fa596a9-250a-49f1-bb7c-c798506db441.mp3"
+    },
+    "edb596de-1e85-4adb-89aa-a5e58f67fdee": {
+      "name": "Neha",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/18a213d4-3baf-48f6-ade4-a344cb1cff52.mp3"
+    },
+    "199af31c-3d08-4f80-9879-772f91994797": {
+      "name": "Rakul Lite",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/76ff02a0-1b03-4923-92ab-b5fe807b6a8e.mp3"
+    },
+    "cd9e2d83-063f-4b21-9045-38a7a1fa9f66": {
+      "name": "Teacher",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-stage/desi-vocal/22db00f0-b37b-4405-aca5-bedde5f97052.mp3"
+    },
+    "112e8972-72a4-4359-8c88-a66f2662eb9b": {
+      "name": "Advertisement",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/c1e6d92f-e28b-4525-851d-2dff7301a634.mp3"
+    },
+    "34e961be-4049-4068-b382-6f31792e27b5": {
+      "name": "Yuvak",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-stage/desi-vocal/b070da66-4cb3-4720-991f-845e24169d09.mp3"
+    },
+    "0472cf70-1d18-48ba-a918-2bab820a7291": {
+      "name": "Maharaj Ji",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-stage/desi-vocal/9897cb2f-090c-4610-9e04-0def6f9e54f9.mp3"
+    },
+    "be0aae9f-1ab7-4088-8e8a-efe4648e902b": {
+      "name": "Shayar",
+      "gender": "Male",
+      "sample": "https://assets.desivocal.com/audio-samples/aa3ba7d4-19d7-4cb0-81c9-6f7e201fcf7b.mp3"
+    },
+    "055ece90-1c21-42bf-9f59-c459ba84d99c": {
+      "name": "Storyteller",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/1e849418-558c-4a74-bfc7-f64bb5d4443a.mp3"
+    },
+    "83ba74e4-9efb-4db3-913a-f2a0ad66904d": {
+      "name": "Standard",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/90624ddd-aa66-4b9c-8f1f-171a44530226.mp3"
+    },
+    "59062c58-3423-4e70-9154-6ae9e5e5be48": {
+      "name": "News",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/56334a9a-85c9-4eb9-9062-845b6c4e38a1.mp3"
+    },
+    "76d34dfb-a062-43f3-907f-b4372fe177be": {
+      "name": "Mohan Expressive",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/53938aee-e365-482f-9173-32e380864cc5.mp3"
+    },
+    "a9a87659-18c5-4751-a426-34ae4f4b19ae": {
+      "name": "Motivational",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/8dc19b78-4e4e-43a1-ad7b-6585d2f904d0.mp3"
+    },
+    "153a9408-2959-11ef-b685-a218303b6499": {
+      "name": "Youtube Shorts",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/a56c731f-e776-4870-9aac-4198be5577d3.mp3"
+    },
+    "4c2e77e8-7f10-4608-9957-e93939da63dc": {
+      "name": "Fiction",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/804e4bb1-bc69-4d60-a81e-0124f1c8fe9b.mp3"
+    },
+    "9cca245b-4d6a-4d80-ba94-f5cf70938b6a": {
+      "name": "Dialogue Delivery",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/f73eb7f8-4105-4127-b637-dda3ee3af51b.mp3"
+    },
+    "57d7a45c-013a-4e63-b26c-c3c24d57d13e": {
+      "name": "Nisha",
+      "gender": "Female",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/50bc297f-677c-4065-beb1-7c3c628337a8.mp3"
+    },
+    "f883d522-2958-11ef-b685-a218303b6499": {
+      "name": "Anchor",
+      "gender": "Male",
+      "sample": "https://storage.googleapis.com/desivocal-cdn/audio-samples/d1429e0f-5ba8-47f1-b62d-06288cd84208.mp3"
+    }
+  }
+}