Initial_commit

.gitattributes

@@ -33,3 +33,25 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+reference_audio/bengali_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/bengali_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/bhojpuri_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/bhojpuri_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/chhattisgarhi_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/chhattisgarhi_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/english_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/english_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/gujarati_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/gujarati_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/hindi_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/hindi_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/kannada_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/kannada_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/magahi_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/magahi_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/maithili_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/maithili_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/marathi_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/marathi_male.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/telugu_female.wav filter=lfs diff=lfs merge=lfs -text
+reference_audio/telugu_male.wav filter=lfs diff=lfs merge=lfs -text

API_Main.py

@@ -0,0 +1,108 @@
+import torch
+import string
+import random
+import uvicorn
+import numpy as np
+from io import BytesIO
+from TTS.api import TTS
+from fastapi import FastAPI
+from scipy.io.wavfile import write
+from fastapi.responses import Response, JSONResponse
+
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+print(f"Using device: {device}")
+
+MODEL_PATH = "models/best_model.pth"
+CONFIG_PATH = "models/config.json"
+
+print(f"Loading model")
+tts = TTS(
+    model_path=MODEL_PATH,
+    config_path=CONFIG_PATH,
+    progress_bar=False,
+).to(device)
+
+sample_rate = 22050
+
+ref_path = {
+    "chhattisgarhi_male" : "reference_audio/chhattisgarhi_male.wav",
+    "chhattisgarhi_female" : "reference_audio/chhattisgarhi_female.wav",
+    "kannada_male" : "reference_audio/kannada_male.wav",
+    "kannada_female" : "reference_audio/kannada_female.wav",
+    "maithili_male" : "reference_audio/maithili_male.wav",
+    "maithili_female" : "reference_audio/maithili_female.wav",
+    "telugu_male" : "reference_audio/telugu_male.wav",
+    "telugu_female" : "reference_audio/telugu_female.wav",
+    "bengali_male" : "reference_audio/bengali_male.wav",
+    "bengali_female" : "reference_audio/bengali_female.wav",
+    "bhojpuri_male" : "reference_audio/bhojpuri_male.wav",
+    "bhojpuri_female" : "reference_audio/bhojpuri_female.wav",
+    "marathi_female" : "reference_audio/marathi_female.wav",
+    "marathi_male" : "reference_audio/marathi_male.wav",
+    "gujarati_male" : "reference_audio/gujarati_male.wav",
+    "gujarati_female" : "reference_audio/gujarati_female.wav",
+    "hindi_male" : "reference_audio/hindi_male.wav",
+    "hindi_female" : "reference_audio/hindi_female.wav",
+    "magahi_female" : "reference_audio/magahi_female.wav",
+    "magahi_male" : "reference_audio/magahi_male.wav",
+    "english_female" : "reference_audio/english_female.wav",
+    "english_male" : "reference_audio/english_male.wav",
+}
+
+languageCODE = {
+    "bhojpuri": "bho",
+    "bengali": "bn",
+    "english": "en",
+    "gujarati": "gu",
+    "hindi": "hi",
+    "chhattisgarhi": "hne",
+    "kannada": "kn",
+    "magahi": "mag",
+    "maithili": "mai",
+    "marathi": "mr",
+    "telugu": "te"
+}
+
+app = FastAPI()
+@app.get("/Get_Inference")
+async def Inference(text : str, lang : str, speaker : str):
+
+    if not text or not lang or not speaker:
+        return JSONResponse({"comment" : "Missing Field."}, status_code = 422)
+    
+    spk = speaker.lower()
+    lan = lang.lower()
+
+    if spk not in ref_path:
+        return JSONResponse({"comment" : "Speaker not present in the system."}, status_code = 422)
+    
+    if  lan not in languageCODE or lan not in languageCODE.values():
+        return JSONResponse({"comment" : "Language not present in the system."}, status_code = 422)
+
+
+    wav = np.array(tts.tts(text=text, speaker_wav=ref_path[speaker], language = languageCODE[lan] if lan not in languageCODE.values() else lan))
+    wav_norm = wav * (32767 / max(0.01, np.max(np.abs(wav))))
+    wav_norm = wav_norm.astype(np.int16)
+    
+    wav_buffer = BytesIO()
+    write(wav_buffer, sample_rate, wav_norm)
+    wav_buffer.seek(0)
+    wav_buffer.name = lang + "_" + speaker + "_" + ''.join(random.choice(string.ascii_uppercase + string.digits + string.ascii_lowercase) for _ in range(7)) + ".wav"
+    return Response(wav_buffer.read())
+
+
+def start_server():
+    print('Starting Server...')
+
+    uvicorn.run(
+        "API_Main:app",
+        host = "0.0.0.0",
+        port = 8080,
+        workers = 1,
+        log_level="debug",
+        reload=False,
+    )
+
+if __name__ == "__main__":
+    start_server()

Dockerfile

@@ -0,0 +1,27 @@
+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+WORKDIR /app
+
+RUN python --version
+
+RUN apt-get update && apt-get install -y \
+    git \
+    libsndfile1 \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN pip install --no-cache-dir Cython packaging
+
+RUN pip install --no-cache-dir fastapi python-multipart uvicorn
+
+RUN git clone https://github.com/PranavDBhat/LIMMITS-24-Coquiai.git /app/LIMMITS-24-Coquiai
+
+RUN cd /app/LIMMITS-24-Coquiai && \
+    pip install --no-cache-dir -r requirements.txt
+
+RUN cd /app/LIMMITS-24-Coquiai && \
+    pip install -e .
+
+COPY ./ ./
+
+RUN [ "python", "API_Main.py" ]

README.md

@@ -1,3 +1,169 @@
----
-license: mit
----
+# SYSPIN Hackathon TTS API Documentation
+
+## Overview
+
+This API provides a Text-to-Speech (TTS) service that converts input text into speech audio. It supports multiple Indian languages and offers voice customization through predefined male and female speaker references.
+
+---
+
+## Endpoint: `/Get_Inference`
+
+* **Method**: `GET`
+* **Description**: Generates speech audio from the provided text using the specified language and speaker.
+
+### Query Parameters
+
+| Parameter | Type   | Required | Description                                                                                                                                                                              |                                               |
+| --------- | ------ | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------- |
+| `text`    | string | Yes      | The input text to be converted into speech.                                                                                                                                              |                                               |
+| `lang`    | string | Yes      | The language of the input text. Acceptable values include: `bhojpuri`, `bengali`, `english`, `gujarati`, `hindi`, `chhattisgarhi`, `kannada`, `magahi`, `maithili`, `marathi`, `telugu`. |                                               |
+| `speaker` | string | Yes      | The desired speaker's voice. Format: `<language>_<gender>`. For example: `hindi_male`, `english_female`. Refer to the available speakers below.                                          |
+
+### Available Speakers
+
+| Language  |  Language codes  | Male Speaker        | Female Speaker        |                                                                                                                                     |
+| ------------- | -------- | ------------------- | --------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |
+| chhattisgarhi | hne | chhattisgarhi\_male | chhattisgarhi\_female |                                                                                                                                     |
+| kannada    |  kn | kannada\_male       | kannada\_female       |                                                                                                                                     |
+| maithili   | mai  | maithili\_male      | maithili\_female      |                                                                                                                                     |
+| telugu      | te  | telugu\_male        | telugu\_female        |                                                                                                                                     |
+| bengali    |  bn  | bengali\_male       | bengali\_female       |                                                                                                                                     |
+| bhojpuri   |  bho | bhojpuri\_male      | bhojpuri\_female      |                                                                                                                                     |
+| marathi    |  mr | marathi\_male       | marathi\_female       |                                                                                                                                     |
+| gujarati  |  gu  | gujarati\_male      | gujarati\_female      |                                                                                                                                     |
+| hindi     |  hi  | hindi\_male         | hindi\_female         |                                                                                                                                     |
+| magahi    |  mag  | magahi\_male        | magahi\_female        |                                                                                                                                     |
+| english   |  en  | english\_male       | english\_female   |
+
+### Responses
+
+* **200 OK**: Returns a WAV audio file as a streaming response containing the synthesized speech.
+* **422 Unprocessable Entity**: Returned when:
+
+  * Any of the required query parameters (`text`, `lang`, `speaker`) are missing.
+  * The specified `lang` is not supported.
+  * The specified `speaker` is not available.
+
+
+
+## Running the Server
+
+To start the FastAPI server:
+
+```bash
+docker build -t your_image_name ./
+docker run -d -p 8080:8080 your_image_name
+```
+
+## Hosting on a GPU
+
+To run your FastAPI-based Text-to-Speech (TTS) server inside a Docker container with GPU support, follow these steps:
+
+---
+
+## Prerequisites
+
+1. **NVIDIA GPU**: Ensure your system has an NVIDIA GPU installed.
+
+2. **NVIDIA Drivers**: Install the appropriate NVIDIA drivers for your GPU.
+
+3. **Docker**: Install Docker on your system.
+
+4. **NVIDIA Container Toolkit**: Install the NVIDIA Container Toolkit to enable GPU support in Docker containers.
+
+---
+
+## Installation Steps
+
+### 1. Install NVIDIA Drivers
+
+Ensure that the NVIDIA drivers compatible with your GPU are installed on your system.
+
+### 2. Install Docker
+
+If Docker is not already installed, you can install it by following the official Docker installation guide for your operating system.
+
+### 3. Install NVIDIA Container Toolkit
+
+The NVIDIA Container Toolkit allows Docker containers to utilize the GPU.
+
+**For Ubuntu:**
+
+```bash
+# Add the package repositories
+distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
+curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
+  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+
+# Update the package lists
+sudo apt-get update
+
+# Install the NVIDIA Container Toolkit
+sudo apt-get install -y nvidia-container-toolkit
+
+# Restart the Docker daemon to apply changes
+sudo systemctl restart docker
+```
+
+**For other operating systems:** Refer to the [NVIDIA Container Toolkit installation guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) for detailed instructions.
+
+### 4. Verify GPU Access in Docker
+
+To confirm that Docker can access your GPU, run the following command:
+
+```bash
+docker run --rm --gpus all nvidia/cuda:12.4.0-base-ubuntu22.04 nvidia-smi
+```
+
+
+## Running Your FastAPI TTS Server with GPU Support
+
+Assuming your FastAPI TTS application is containerized and ready to run:
+
+1. **Build Your Docker Image**
+
+Navigate to the directory containing your `Dockerfile` and build the Docker image:
+
+```bash
+docker build -t your_image_name .
+```
+
+
+2. **Run the Docker Container with GPU Support**
+
+Start the container with GPU access enabled:
+
+```bash
+docker run --gpus all -p 8080:8080 your_image_name
+```
+
+## Example API Call
+
+```python
+import requests
+
+# Define the base URL of your API
+base_url = 'http://localhost:8080/Get_Inference'
+
+# Set up the query parameters
+params = {
+    'text': 'Hello world',
+    'lang': 'english',
+    'speaker': 'english_female'
+}
+
+# Send the GET request
+response = requests.get(base_url, params=params)
+
+# Check if the request was successful
+if response.status_code == 200:
+    # Save the audio content to a file
+    with open('output.wav', 'wb') as f:
+        f.write(response.content)
+    print("Audio saved as 'output.wav'")
+else:
+    # Print the error message
+    print(f"Request failed with status code {response.status_code}")
+    print("Response:", response.text)
+```

model_related/Bengali_Female/speakers.pth

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models/config.json

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+{
+    "output_path": "/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads",
+    "logger_uri": null,
+    "run_name": "yourtts_syspin_baseline",
+    "project_name": "YourTTS",
+    "run_description": "\n            - Original YourTTS trained using VCTK dataset\n        ",
+    "print_step": 50,
+    "plot_step": 100,
+    "model_param_stats": false,
+    "wandb_entity": null,
+    "dashboard_logger": "tensorboard",
+    "save_on_interrupt": true,
+    "log_model_step": 1000,
+    "save_step": 10000,
+    "save_n_checkpoints": 10,
+    "save_checkpoints": true,
+    "save_all_best": false,
+    "save_best_after": 0,
+    "target_loss": "loss_1",
+    "print_eval": false,
+    "test_delay_epochs": 0,
+    "run_eval": true,
+    "run_eval_steps": null,
+    "distributed_backend": "nccl",
+    "distributed_url": "tcp://localhost:54321",
+    "mixed_precision": false,
+    "precision": "fp16",
+    "epochs": 1000,
+    "batch_size": 16,
+    "eval_batch_size": 16,
+    "grad_clip": [
+        1000.0,
+        1000.0
+    ],
+    "scheduler_after_epoch": true,
+    "lr": 0.001,
+    "optimizer": "AdamW",
+    "optimizer_params": {
+        "betas": [
+            0.8,
+            0.99
+        ],
+        "eps": 1e-09,
+        "weight_decay": 0.01
+    },
+    "lr_scheduler": null,
+    "lr_scheduler_params": {},
+    "use_grad_scaler": false,
+    "allow_tf32": false,
+    "cudnn_enable": true,
+    "cudnn_deterministic": false,
+    "cudnn_benchmark": false,
+    "training_seed": 54321,
+    "model": "vits",
+    "num_loader_workers": 8,
+    "num_eval_loader_workers": 0,
+    "use_noise_augment": false,
+    "audio": {
+        "fft_size": 1024,
+        "sample_rate": 22050,
+        "win_length": 1024,
+        "hop_length": 256,
+        "num_mels": 80,
+        "mel_fmin": 0,
+        "mel_fmax": null
+    },
+    "use_phonemes": false,
+    "phonemizer": "espeak",
+    "phoneme_language": "en",
+    "compute_input_seq_cache": true,
+    "text_cleaner": "multilingual_cleaners",
+    "enable_eos_bos_chars": false,
+    "test_sentences_file": "",
+    "phoneme_cache_path": null,
+    "characters": {
+        "characters_class": "TTS.tts.models.vits.VitsCharacters",
+        "vocab_dict": null,
+        "pad": "_",
+        "eos": "&",
+        "bos": "*",
+        "blank": null,
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+        "punctuations": "!'(),-.:;? ",
+        "phonemes": "",
+        "is_unique": true,
+        "is_sorted": true
+    },
+    "add_blank": true,
+    "batch_group_size": 32,
+    "loss_masking": null,
+    "min_audio_len": 1,
+    "max_audio_len": Infinity,
+    "min_text_len": 1,
+    "max_text_len": Infinity,
+    "compute_f0": false,
+    "compute_energy": false,
+    "compute_linear_spec": true,
+    "precompute_num_workers": 12,
+    "start_by_longest": true,
+    "shuffle": false,
+    "drop_last": false,
+    "datasets": [
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Bengali_Female",
+            "meta_file_train": "SyspinSpeakers/Bengali_Female.tsv",
+            "ignored_speakers": null,
+            "language": "bn",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Chhattisgarhi_Male",
+            "meta_file_train": "SyspinSpeakers/Chhattisgarhi_Male.tsv",
+            "ignored_speakers": null,
+            "language": "hne",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Magahi_Male",
+            "meta_file_train": "SyspinSpeakers/Magahi_Male.tsv",
+            "ignored_speakers": null,
+            "language": "mag",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Marathi_Male",
+            "meta_file_train": "SyspinSpeakers/Marathi_Male.tsv",
+            "ignored_speakers": null,
+            "language": "mr",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Maithili_Female",
+            "meta_file_train": "SyspinSpeakers/Maithili_Female.tsv",
+            "ignored_speakers": null,
+            "language": "mai",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/English_Male",
+            "meta_file_train": "SyspinSpeakers/English_Male.tsv",
+            "ignored_speakers": null,
+            "language": "en",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Chhattisgarhi_Female",
+            "meta_file_train": "SyspinSpeakers/Chhattisgarhi_Female.tsv",
+            "ignored_speakers": null,
+            "language": "hne",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Kannada_Male",
+            "meta_file_train": "SyspinSpeakers/Kannada_Male.tsv",
+            "ignored_speakers": null,
+            "language": "kn",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Bhojpuri_Female",
+            "meta_file_train": "SyspinSpeakers/Bhojpuri_Female.tsv",
+            "ignored_speakers": null,
+            "language": "bho",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Kannada_Female",
+            "meta_file_train": "SyspinSpeakers/Kannada_Female.tsv",
+            "ignored_speakers": null,
+            "language": "kn",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Maithili_Male",
+            "meta_file_train": "SyspinSpeakers/Maithili_Male.tsv",
+            "ignored_speakers": null,
+            "language": "mai",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Telugu_Male",
+            "meta_file_train": "SyspinSpeakers/Telugu_Male.tsv",
+            "ignored_speakers": null,
+            "language": "te",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Telugu_Female",
+            "meta_file_train": "SyspinSpeakers/Telugu_Female.tsv",
+            "ignored_speakers": null,
+            "language": "te",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Bengali_Male",
+            "meta_file_train": "SyspinSpeakers/Bengali_Male.tsv",
+            "ignored_speakers": null,
+            "language": "bn",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Bhojpuri_Male",
+            "meta_file_train": "SyspinSpeakers/Bhojpuri_Male.tsv",
+            "ignored_speakers": null,
+            "language": "bho",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Gujarati_Female",
+            "meta_file_train": "SyspinSpeakers/Gujarati_Female.tsv",
+            "ignored_speakers": null,
+            "language": "gu",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Marathi_Female",
+            "meta_file_train": "SyspinSpeakers/Marathi_Female.tsv",
+            "ignored_speakers": null,
+            "language": "mr",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Hindi_Female",
+            "meta_file_train": "SyspinSpeakers/Hindi_Female.tsv",
+            "ignored_speakers": null,
+            "language": "hi",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Gujarati_Male",
+            "meta_file_train": "SyspinSpeakers/Gujarati_Male.tsv",
+            "ignored_speakers": null,
+            "language": "gu",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Hindi_Male",
+            "meta_file_train": "SyspinSpeakers/Hindi_Male.tsv",
+            "ignored_speakers": null,
+            "language": "hi",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/Magahi_Female",
+            "meta_file_train": "SyspinSpeakers/Magahi_Female.tsv",
+            "ignored_speakers": null,
+            "language": "mag",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        },
+        {
+            "formatter": "syspin_ml",
+            "dataset_name": "",
+            "path": "model_related/English_Female",
+            "meta_file_train": "SyspinSpeakers/English_Female.tsv",
+            "ignored_speakers": null,
+            "language": "en",
+            "phonemizer": "",
+            "meta_file_val": "",
+            "meta_file_attn_mask": ""
+        }
+    ],
+    "test_sentences": [
+        [
+            "\u091c\u093e\u092f\u0915\u0935\u093e\u0921\u0940 \u0927\u0930\u0923\u093e\u0924\u0942\u0928 \u0924\u092c\u094d\u092c\u0932 \u0905\u0921\u0940\u091a \u0924\u0947 \u0924\u0940\u0928 \u0932\u093e\u0916 \u0939\u0947\u0915\u094d\u091f\u0930 \u0936\u0947\u0924\u0940\u091a\u094d\u092f\u093e \u0938\u093f\u0902\u091a\u0928\u093e\u0938\u093e\u0920\u0940 \u092a\u093e\u0923\u0940 \u0938\u094b\u0921\u0932\u0902 \u091c\u093e\u0924\u0902",
+            "Marathi_Male",
+            null,
+            "mr"
+        ],
+        [
+            "\u091c\u093e\u092f\u0915\u0935\u093e\u0921\u0940 \u0927\u0930\u0923\u093e\u0924\u0942\u0928 \u0924\u092c\u094d\u092c\u0932 \u0905\u0921\u0940\u091a \u0924\u0947 \u0924\u0940\u0928 \u0932\u093e\u0916 \u0939\u0947\u0915\u094d\u091f\u0930 \u0936\u0947\u0924\u0940\u091a\u094d\u092f\u093e \u0938\u093f\u0902\u091a\u0928\u093e\u0938\u093e\u0920\u0940 \u092a\u093e\u0923\u0940 \u0938\u094b\u0921\u0932\u0902 \u091c\u093e\u0924\u0902",
+            "Marathi_Female",
+            null,
+            "mr"
+        ],
+        [
+            "\u0915\u0941\u091b \u0938\u092e\u092f \u092c\u093e\u0926 \u0935\u0947 \u0905\u0938\u0939\u093e\u092c\u0947 \u0938\u0941\u095e\u094d\u095e\u093e\u0939 \u0915\u0947 \u0928\u093e\u092e \u0938\u0947 \u092a\u094d\u0930\u0938\u093f\u0926\u094d\u0927 \u0939\u094b \u0917\u090f\u0964",
+            "Hindi_Male",
+            null,
+            "hi"
+        ],
+        [
+            "\u0915\u0941\u091b \u0938\u092e\u092f \u092c\u093e\u0926 \u0935\u0947 \u0905\u0938\u0939\u093e\u092c\u0947 \u0938\u0941\u095e\u094d\u095e\u093e\u0939 \u0915\u0947 \u0928\u093e\u092e \u0938\u0947 \u092a\u094d\u0930\u0938\u093f\u0926\u094d\u0927 \u0939\u094b \u0917\u090f\u0964",
+            "Hindi_Female",
+            null,
+            "hi"
+        ],
+        [
+            "\u0c35\u0c21\u0c4d\u0c30\u0c02\u0c17\u0c3f, \u0c15\u0c4d\u0c37\u0c41\u0c30\u0c15 \u0c35\u0c43\u0c24\u0c4d\u0c24\u0c41\u0c32\u0c32\u0c4b \u0c2a\u0c46\u0c1f\u0c4d\u0c1f\u0c41\u0c2c\u0c21\u0c3f \u0c2a\u0c4d\u0c30\u0c27\u0c3e\u0c28\u0c2e\u0c48 \u0c07\u0c24\u0c30\u0c41\u0c32\u0c41 \u0c15\u0c42\u0c21\u0c3e \u0c08 \u0c35\u0c43\u0c24\u0c4d\u0c24\u0c3f\u0c32\u0c4b \u0c2a\u0c4d\u0c30\u0c35\u0c47\u0c36\u0c3f\u0c02\u0c1a\u0c3f \u0c35\u0c4d\u0c2f\u0c3e\u0c2a\u0c3e\u0c30\u0c02\u0c17\u0c3e \u0c2e\u0c3e\u0c30\u0c4d\u0c1a\u0c47\u0c38\u0c3e\u0c30",
+            "Telugu_Female",
+            null,
+            "te"
+        ],
+        [
+            "\u0c35\u0c21\u0c4d\u0c30\u0c02\u0c17\u0c3f, \u0c15\u0c4d\u0c37\u0c41\u0c30\u0c15 \u0c35\u0c43\u0c24\u0c4d\u0c24\u0c41\u0c32\u0c32\u0c4b \u0c2a\u0c46\u0c1f\u0c4d\u0c1f\u0c41\u0c2c\u0c21\u0c3f \u0c2a\u0c4d\u0c30\u0c27\u0c3e\u0c28\u0c2e\u0c48 \u0c07\u0c24\u0c30\u0c41\u0c32\u0c41 \u0c15\u0c42\u0c21\u0c3e \u0c08 \u0c35\u0c43\u0c24\u0c4d\u0c24\u0c3f\u0c32\u0c4b \u0c2a\u0c4d\u0c30\u0c35\u0c47\u0c36\u0c3f\u0c02\u0c1a\u0c3f \u0c35\u0c4d\u0c2f\u0c3e\u0c2a\u0c3e\u0c30\u0c02\u0c17\u0c3e \u0c2e\u0c3e\u0c30\u0c4d\u0c1a\u0c47\u0c38\u0c3e\u0c30",
+            "Telugu_Male",
+            null,
+            "te"
+        ],
+        [
+            "\u0915\u0932\u0915\u0924\u094d\u0924\u093e \u091c\u093e\u092f \u0916\u093e\u0924\u093f\u0930 \u092a\u0941\u0937\u094d\u092a\u093e \u0939 \u0911\u0928\u0932\u093e\u0907\u0928 \u091f\u093f\u0915\u093f\u091f \u0915\u0930\u0935\u093e\u092f \u0930\u093f\u0939\u093f\u0938 \u0939\u0935\u092f",
+            "Chhattisgarhi_Female",
+            null,
+            "hne"
+        ],
+        [
+            "\u0915\u0932\u0915\u0924\u094d\u0924\u093e \u091c\u093e\u092f \u0916\u093e\u0924\u093f\u0930 \u092a\u0941\u0937\u094d\u092a\u093e \u0939 \u0911\u0928\u0932\u093e\u0907\u0928 \u091f\u093f\u0915\u093f\u091f \u0915\u0930\u0935\u093e\u092f \u0930\u093f\u0939\u093f\u0938 \u0939\u0935\u092f",
+            "Chhattisgarhi_Male",
+            null,
+            "hne"
+        ],
+        [
+            "\u09a8\u09bf\u09ae\u09cd\u09a8\u09cb\u0995\u09cd\u09a4 \u09b8\u09be\u09b0\u09a3\u09bf \u0985\u09ac\u09b2\u09ae\u09cd\u09ac\u09a8\u09c7 \u09ad\u09be\u09b0\u09a4\u09c0\u09df \u09ac\u09cd\u09af\u09ac\u09b8\u09cd\u09a5\u09be\u09df \u099c\u09c0\u09ac\u09bf\u0995\u09be\u09b0 \u0995\u09be\u09a0\u09be\u09ae\u09cb\u09b0 \u098f\u0995\u099f\u09bf \u09aa\u09be\u0987 \u099a\u09bf\u09a4\u09cd\u09b0 \u09a4\u09c8\u09b0\u09bf \u0995\u09b0\u09cb  \u0995\u09c3\u09b7\u09bf \u09ad\u09b0\u09cd\u09a4\u09c1\u0995\u09bf\u09b0 \u09aa\u0995\u09cd\u09b7\u09c7 \u098f\u09ac\u0982 \u09ac\u09bf\u09aa\u0995\u09cd\u09b7\u09c7\u09b0 \u09af\u09c1\u0995\u09cd\u09a4\u09bf\u0997\u09c1\u09b2\u09cb \u09aa\u09b0\u09cd\u09af\u09be\u09b2\u09cb\u099a\u09a8\u09be \u0995\u09b0\u09cb\u0964",
+            "Bengali_Male",
+            null,
+            "bn"
+        ],
+        [
+            "\u09a8\u09bf\u09ae\u09cd\u09a8\u09cb\u0995\u09cd\u09a4 \u09b8\u09be\u09b0\u09a3\u09bf \u0985\u09ac\u09b2\u09ae\u09cd\u09ac\u09a8\u09c7 \u09ad\u09be\u09b0\u09a4\u09c0\u09df \u09ac\u09cd\u09af\u09ac\u09b8\u09cd\u09a5\u09be\u09df \u099c\u09c0\u09ac\u09bf\u0995\u09be\u09b0 \u0995\u09be\u09a0\u09be\u09ae\u09cb\u09b0 \u098f\u0995\u099f\u09bf \u09aa\u09be\u0987 \u099a\u09bf\u09a4\u09cd\u09b0 \u09a4\u09c8\u09b0\u09bf \u0995\u09b0\u09cb  \u0995\u09c3\u09b7\u09bf \u09ad\u09b0\u09cd\u09a4\u09c1\u0995\u09bf\u09b0 \u09aa\u0995\u09cd\u09b7\u09c7 \u098f\u09ac\u0982 \u09ac\u09bf\u09aa\u0995\u09cd\u09b7\u09c7\u09b0 \u09af\u09c1\u0995\u09cd\u09a4\u09bf\u0997\u09c1\u09b2\u09cb \u09aa\u09b0\u09cd\u09af\u09be\u09b2\u09cb\u099a\u09a8\u09be \u0995\u09b0\u09cb\u0964",
+            "Bengali_Female",
+            null,
+            "bn"
+        ],
+        [
+            "\u0cb9\u0cb8\u0ccd\u0ca6\u0cc7\u0cb5\u0ccd \u0ca8\u0ca6\u0cbf, \u0cb0\u0cbf\u0cb9\u0c82\u0ca1\u0ccd \u0ca8\u0ca6\u0cbf \u0cae\u0ca4\u0ccd\u0ca4\u0cc1 \u0c95\u0ca8\u0ccd\u0cb9\u0cb0\u0ccd \u0ca8\u0ca6\u0cbf\u0c97\u0cb3\u0cc1 \u0cb8\u0cc1\u0cb0\u0ccd\u0c97\u0cc1\u0c9c\u0cbe\u0ca6 \u0cae\u0cc1\u0c96\u0c9c \u0cad\u0cc2\u0cae\u0cbf\u0caf\u0cb2\u0ccd\u0cb2\u0cbf \u0cb9\u0cb0\u0cbf\u0caf\u0cc1\u0ca4\u0ccd\u0ca4\u0cb5\u0cc6.",
+            "Kannada_Female",
+            null,
+            "kn"
+        ],
+        [
+            "\u0cb9\u0cb8\u0ccd\u0ca6\u0cc7\u0cb5\u0ccd \u0ca8\u0ca6\u0cbf, \u0cb0\u0cbf\u0cb9\u0c82\u0ca1\u0ccd \u0ca8\u0ca6\u0cbf \u0cae\u0ca4\u0ccd\u0ca4\u0cc1 \u0c95\u0ca8\u0ccd\u0cb9\u0cb0\u0ccd \u0ca8\u0ca6\u0cbf\u0c97\u0cb3\u0cc1 \u0cb8\u0cc1\u0cb0\u0ccd\u0c97\u0cc1\u0c9c\u0cbe\u0ca6 \u0cae\u0cc1\u0c96\u0c9c \u0cad\u0cc2\u0cae\u0cbf\u0caf\u0cb2\u0ccd\u0cb2\u0cbf \u0cb9\u0cb0\u0cbf\u0caf\u0cc1\u0ca4\u0ccd\u0ca4\u0cb5\u0cc6.",
+            "Kannada_Male",
+            null,
+            "kn"
+        ],
+        [
+            "the russian leader added that the united states and russia have a common interest in preventing nuclear proliferation, in north korea and elsewhere",
+            "English_Male",
+            null,
+            "en"
+        ],
+        [
+            "the russian leader added that the united states and russia have a common interest in preventing nuclear proliferation, in north korea and elsewhere",
+            "English_Female",
+            null,
+            "en"
+        ],
+        [
+            "\u0915\u093e\u0928\u0942\u0928 \u0915\u0947 \u0936\u093e\u0938\u0928 \u0915\u0947 \u0938\u0916\u094d\u0924 \u0905\u0928\u0941\u092a\u093e\u0932\u0928 \u0932\u094b\u0915\u0924\u0902\u0924\u094d\u0930 \u0915\u0947 \u092a\u094d\u0930\u092e\u0941\u0916 \u0906\u0932\u094b\u091a\u0928\u093e \u092e\u0947\u0902 \u0938\u0947 \u090f\u0917\u094b \u0939\u0908",
+            "Magahi_Male",
+            null,
+            "mag"
+        ],
+        [
+            "\u0915\u093e\u0928\u0942\u0928 \u0915\u0947 \u0936\u093e\u0938\u0928 \u0915\u0947 \u0938\u0916\u094d\u0924 \u0905\u0928\u0941\u092a\u093e\u0932\u0928 \u0932\u094b\u0915\u0924\u0902\u0924\u094d\u0930 \u0915\u0947 \u092a\u094d\u0930\u092e\u0941\u0916 \u0906\u0932\u094b\u091a\u0928\u093e \u092e\u0947\u0902 \u0938\u0947 \u090f\u0917\u094b \u0939\u0908",
+            "Magahi_Female",
+            null,
+            "mag"
+        ],
+        [
+            "\u092a\u093e\u0915\u0936\u093e\u0932\u093e \u0938\u0902\u092c\u0902\u0927\u0940 \u0915\u0932\u093e \u092e\u0947\u0902 \u092d\u094b\u091c\u0928 \u092a\u0915\u093e\u092c\u0948 \u0938\u093d \u0932\u092f \u0915\u093d \u0913\u0915\u0930 \u0915\u0941\u0936\u0932 \u092a\u094d\u0930\u092c\u0902\u0927\u0928 \u0914\u0930 \u092d\u093e\u0928\u0938 \u0918\u0930\u093d\u0915 \u0909\u091a\u093f\u0924 \u0930\u0916 \u0930\u0916\u093e\u0935 \u0938\u0947\u0939\u094b \u0936\u093e\u092e\u093f\u0932 \u091b\u0948\u0915",
+            "Maithili_Female",
+            null,
+            "mai"
+        ],
+        [
+            "\u092a\u093e\u0915\u0936\u093e\u0932\u093e \u0938\u0902\u092c\u0902\u0927\u0940 \u0915\u0932\u093e \u092e\u0947\u0902 \u092d\u094b\u091c\u0928 \u092a\u0915\u093e\u092c\u0948 \u0938\u093d \u0932\u092f \u0915\u093d \u0913\u0915\u0930 \u0915\u0941\u0936\u0932 \u092a\u094d\u0930\u092c\u0902\u0927\u0928 \u0914\u0930 \u092d\u093e\u0928\u0938 \u0918\u0930\u093d\u0915 \u0909\u091a\u093f\u0924 \u0930\u0916 \u0930\u0916\u093e\u0935 \u0938\u0947\u0939\u094b \u0936\u093e\u092e\u093f\u0932 \u091b\u0948\u0915",
+            "Maithili_Male",
+            null,
+            "mai"
+        ],
+        [
+            "\u0aa4\u0acd\u0aaf\u0abe\u0ab0\u0aac\u0abe\u0aa6 \u0aaa\u0abe\u0a9f\u0ac0\u0aa6\u0abe\u0ab0\u0acb \u0aa6\u0acd\u0ab5\u0abe\u0ab0\u0abe \u0a85\u0aa8\u0ac7\u0a95 \u0aa8\u0abe\u0aa8\u0abe\u0aae\u0acb\u0a9f\u0abe \u0a95\u0abe\u0ab0\u0acd\u0aaf\u0a95\u0acd\u0ab0\u0aae\u0acb \u0aaf\u0acb\u0a9c\u0ab5\u0abe\u0aae\u0abe\u0a82 \u0a86\u0ab5\u0aa4\u0abe \u0ab9\u0aa4\u0abe \u0a9c\u0acb\u0a95\u0ac7 \u0a8f\u0a95 \u0aaa\u0aa3 \u0a95\u0abe\u0ab0\u0acd\u0aaf\u0a95\u0acd\u0ab0\u0aae\u0aa8\u0ac7 \u0aa4\u0a82\u0aa4\u0acd\u0ab0 \u0aa6\u0acd\u0ab5\u0abe\u0ab0\u0abe \u0aae\u0a82\u0a9c\u0ac2\u0ab0\u0ac0 \u0a86\u0aaa\u0ab5\u0abe\u0aae\u0abe\u0a82 \u0a86\u0ab5\u0aa4\u0ac0 \u0aa8\u0ab9\u0acb\u0aa4",
+            "Gujarati_Female",
+            null,
+            "gu"
+        ],
+        [
+            "\u0aa4\u0acd\u0aaf\u0abe\u0ab0\u0aac\u0abe\u0aa6 \u0aaa\u0abe\u0a9f\u0ac0\u0aa6\u0abe\u0ab0\u0acb \u0aa6\u0acd\u0ab5\u0abe\u0ab0\u0abe \u0a85\u0aa8\u0ac7\u0a95 \u0aa8\u0abe\u0aa8\u0abe\u0aae\u0acb\u0a9f\u0abe \u0a95\u0abe\u0ab0\u0acd\u0aaf\u0a95\u0acd\u0ab0\u0aae\u0acb \u0aaf\u0acb\u0a9c\u0ab5\u0abe\u0aae\u0abe\u0a82 \u0a86\u0ab5\u0aa4\u0abe \u0ab9\u0aa4\u0abe \u0a9c\u0acb\u0a95\u0ac7 \u0a8f\u0a95 \u0aaa\u0aa3 \u0a95\u0abe\u0ab0\u0acd\u0aaf\u0a95\u0acd\u0ab0\u0aae\u0aa8\u0ac7 \u0aa4\u0a82\u0aa4\u0acd\u0ab0 \u0aa6\u0acd\u0ab5\u0abe\u0ab0\u0abe \u0aae\u0a82\u0a9c\u0ac2\u0ab0\u0ac0 \u0a86\u0aaa\u0ab5\u0abe\u0aae\u0abe\u0a82 \u0a86\u0ab5\u0aa4\u0ac0 \u0aa8\u0ab9\u0acb\u0aa4",
+            "Gujarati_Male",
+            null,
+            "gu"
+        ],
+        [
+            "\u090f\u0928\u094d\u091f\u094d\u0930\u093e\u092a\u0940 \u0915\u0902\u092a\u094d\u092f\u0942\u091f\u093f\u0902\u0917 \u092e\u0947\u0902 \u090f\u0928\u094d\u091f\u094d\u0930\u094b\u092a\u0940 \u090a \u0911\u092a\u0930\u0947\u091f\u093f\u0902\u0917 \u0938\u093f\u0938\u094d\u091f\u092e \u0939 \u091c\u0947 \u092a\u0947 \u0938\u0930\u093e \u0915\u094d\u0930\u093f\u092a\u094d\u091f\u094b\u0917\u094d\u0930\u093e\u092b\u093f\u0915 \u092b\u0902\u0915\u094d\u0936\u0928 \u0938\u092c \u0915\u093e\u092e \u0915\u0930\u0947 \u0932\u0947\u0902",
+            "Bhojpuri_Male",
+            null,
+            "bho"
+        ],
+        [
+            "\u090f\u0928\u094d\u091f\u094d\u0930\u093e\u092a\u0940 \u0915\u0902\u092a\u094d\u092f\u0942\u091f\u093f\u0902\u0917 \u092e\u0947\u0902 \u090f\u0928\u094d\u091f\u094d\u0930\u094b\u092a\u0940 \u090a \u0911\u092a\u0930\u0947\u091f\u093f\u0902\u0917 \u0938\u093f\u0938\u094d\u091f\u092e \u0939 \u091c\u0947 \u092a\u0947 \u0938\u0930\u093e \u0915\u094d\u0930\u093f\u092a\u094d\u091f\u094b\u0917\u094d\u0930\u093e\u092b\u093f\u0915 \u092b\u0902\u0915\u094d\u0936\u0928 \u0938\u092c \u0915\u093e\u092e \u0915\u0930\u0947 \u0932\u0947\u0902",
+            "Bhojpuri_Female",
+            null,
+            "bho"
+        ]
+    ],
+    "eval_split_max_size": 256,
+    "eval_split_size": 0.01,
+    "use_speaker_weighted_sampler": false,
+    "speaker_weighted_sampler_alpha": 1.0,
+    "use_language_weighted_sampler": false,
+    "language_weighted_sampler_alpha": 1.0,
+    "use_length_weighted_sampler": false,
+    "length_weighted_sampler_alpha": 1.0,
+    "model_args": {
+        "num_chars": 444,
+        "out_channels": 513,
+        "spec_segment_size": 32,
+        "hidden_channels": 192,
+        "hidden_channels_ffn_text_encoder": 768,
+        "num_heads_text_encoder": 2,
+        "num_layers_text_encoder": 10,
+        "kernel_size_text_encoder": 3,
+        "dropout_p_text_encoder": 0.1,
+        "dropout_p_duration_predictor": 0.5,
+        "kernel_size_posterior_encoder": 5,
+        "dilation_rate_posterior_encoder": 1,
+        "num_layers_posterior_encoder": 16,
+        "kernel_size_flow": 5,
+        "dilation_rate_flow": 1,
+        "num_layers_flow": 4,
+        "resblock_type_decoder": "2",
+        "resblock_kernel_sizes_decoder": [
+            3,
+            7,
+            11
+        ],
+        "resblock_dilation_sizes_decoder": [
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ],
+            [
+                1,
+                3,
+                5
+            ]
+        ],
+        "upsample_rates_decoder": [
+            8,
+            8,
+            2,
+            2
+        ],
+        "upsample_initial_channel_decoder": 512,
+        "upsample_kernel_sizes_decoder": [
+            16,
+            16,
+            4,
+            4
+        ],
+        "periods_multi_period_discriminator": [
+            2,
+            3,
+            5,
+            7,
+            11
+        ],
+        "use_sdp": true,
+        "noise_scale": 1.0,
+        "inference_noise_scale": 0.667,
+        "length_scale": 1.0,
+        "noise_scale_dp": 1.0,
+        "inference_noise_scale_dp": 1.0,
+        "max_inference_len": null,
+        "init_discriminator": true,
+        "use_spectral_norm_disriminator": false,
+        "use_speaker_embedding": false,
+        "num_speakers": 0,
+        "speakers_file": "/app/models/speakers.pth",
+        "d_vector_file": [
+            "model_related/Bengali_Female/speakers.pth",
+            "model_related/Chhattisgarhi_Male/speakers.pth",
+            "model_related/Magahi_Male/speakers.pth",
+            "model_related/Marathi_Male/speakers.pth",
+            "model_related/Maithili_Female/speakers.pth",
+            "model_related/English_Male/speakers.pth",
+            "model_related/Chhattisgarhi_Female/speakers.pth",
+            "model_related/Kannada_Male/speakers.pth",
+            "model_related/Bhojpuri_Female/speakers.pth",
+            "model_related/Kannada_Female/speakers.pth",
+            "model_related/Maithili_Male/speakers.pth",
+            "model_related/Telugu_Male/speakers.pth",
+            "model_related/Telugu_Female/speakers.pth",
+            "model_related/Bengali_Male/speakers.pth",
+            "model_related/Bhojpuri_Male/speakers.pth",
+            "model_related/Gujarati_Female/speakers.pth",
+            "model_related/Marathi_Female/speakers.pth",
+            "model_related/Hindi_Female/speakers.pth",
+            "model_related/Gujarati_Male/speakers.pth",
+            "model_related/Hindi_Male/speakers.pth",
+            "model_related/Magahi_Female/speakers.pth",
+            "model_related/English_Female/speakers.pth"
+        ],
+        "speaker_embedding_channels": 256,
+        "use_d_vector_file": true,
+        "d_vector_dim": 512,
+        "detach_dp_input": true,
+        "use_language_embedding": true,
+        "embedded_language_dim": 4,
+        "num_languages": 11,
+        "language_ids_file": "/app/models/language_ids.json",
+        "use_speaker_encoder_as_loss": false,
+        "speaker_encoder_config_path": "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/config_se.json",
+        "speaker_encoder_model_path": "https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/model_se.pth.tar",
+        "condition_dp_on_speaker": true,
+        "freeze_encoder": false,
+        "freeze_DP": false,
+        "freeze_PE": false,
+        "freeze_flow_decoder": false,
+        "freeze_waveform_decoder": false,
+        "encoder_sample_rate": null,
+        "interpolate_z": true,
+        "reinit_DP": false,
+        "reinit_text_encoder": false
+    },
+    "lr_gen": 0.0002,
+    "lr_disc": 0.0002,
+    "lr_scheduler_gen": "ExponentialLR",
+    "lr_scheduler_gen_params": {
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+        "last_epoch": -1
+    },
+    "lr_scheduler_disc": "ExponentialLR",
+    "lr_scheduler_disc_params": {
+        "gamma": 0.999875,
+        "last_epoch": -1
+    },
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+    "disc_loss_alpha": 1.0,
+    "gen_loss_alpha": 1.0,
+    "feat_loss_alpha": 1.0,
+    "mel_loss_alpha": 45.0,
+    "dur_loss_alpha": 1.0,
+    "speaker_encoder_loss_alpha": 9.0,
+    "return_wav": true,
+    "use_weighted_sampler": true,
+    "weighted_sampler_attrs": {},
+    "weighted_sampler_multipliers": {},
+    "r": 1,
+    "num_speakers": 0,
+    "use_speaker_embedding": false,
+    "speakers_file": "/app/models/speakers.pth",
+    "speaker_embedding_channels": 256,
+    "language_ids_file": "/app/models/language_ids.json",
+    "use_language_embedding": true,
+    "use_d_vector_file": true,
+    "d_vector_file": [
+        "model_related/Bengali_Female/speakers.pth",
+        "model_related/Chhattisgarhi_Male/speakers.pth",
+        "model_related/Magahi_Male/speakers.pth",
+        "model_related/Marathi_Male/speakers.pth",
+        "model_related/Maithili_Female/speakers.pth",
+        "model_related/English_Male/speakers.pth",
+        "model_related/Chhattisgarhi_Female/speakers.pth",
+        "model_related/Kannada_Male/speakers.pth",
+        "model_related/Bhojpuri_Female/speakers.pth",
+        "model_related/Kannada_Female/speakers.pth",
+        "model_related/Maithili_Male/speakers.pth",
+        "model_related/Telugu_Male/speakers.pth",
+        "model_related/Telugu_Female/speakers.pth",
+        "model_related/Bengali_Male/speakers.pth",
+        "model_related/Bhojpuri_Male/speakers.pth",
+        "model_related/Gujarati_Female/speakers.pth",
+        "model_related/Marathi_Female/speakers.pth",
+        "model_related/Hindi_Female/speakers.pth",
+        "model_related/Gujarati_Male/speakers.pth",
+        "model_related/Hindi_Male/speakers.pth",
+        "model_related/Magahi_Female/speakers.pth",
+        "model_related/English_Female/speakers.pth"
+    ],
+    "d_vector_dim": 512
+}

models/language_ids.json

@@ -0,0 +1,13 @@
+{
+    "bho": 0,
+    "bn": 1,
+    "en": 2,
+    "gu": 3,
+    "hi": 4,
+    "hne": 5,
+    "kn": 6,
+    "mag": 7,
+    "mai": 8,
+    "mr": 9,
+    "te": 10
+}

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