From 0f93f5f2130bf2e0bbd0584bfe2483f53a12391f Mon Sep 17 00:00:00 2001
From: Tasha Upchurch <TashaSkyUp@gmail.com>
Date: Sun, 20 Oct 2024 14:07:41 -0600
Subject: [PATCH] new xtts module and modified requirements.txt

---
 modules/speaker.mp3 |   Bin 0 -> 391627 bytes
 modules/test.speech |     3 +
 modules/vocab.json  | 14470 ++++++++++++++++++++++++++++++++++++++++++
 modules/xttscli.py  |   214 +
 4 files changed, 14687 insertions(+)
 create mode 100644 modules/speaker.mp3
 create mode 100644 modules/test.speech
 create mode 100644 modules/vocab.json
 create mode 100644 modules/xttscli.py

diff --git a/modules/speaker.mp3 b/modules/speaker.mp3
new file mode 100644
index 0000000000000000000000000000000000000000..1d00a9077d27b5762f42fdb613ddc225aa916d83
GIT binary patch
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diff --git a/modules/test.speech b/modules/test.speech
new file mode 100644
index 0000000..c098f5b
--- /dev/null
+++ b/modules/test.speech
@@ -0,0 +1,3 @@
+This is a test.
+Of the emergency AI TTS system.
+This is only a test.
\ No newline at end of file
diff --git a/modules/vocab.json b/modules/vocab.json
new file mode 100644
index 0000000..5af6dd3
--- /dev/null
+++ b/modules/vocab.json
@@ -0,0 +1,14470 @@
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+            "man h",
+            "jeo l",
+            "geo l",
+            "h oe",
+            "ag a",
+            "n aneun",
+            "g an",
+            "un eun",
+            "ch eol",
+            "ch e",
+            "do l",
+            "b on",
+            "b an",
+            "ba d",
+            "ch u",
+            "ham yeon",
+            "yeo ssda",
+            "i bnida",
+            "g ye",
+            "eo s",
+            "hw al",
+            "salam deul",
+            "ji man",
+            "dang sin",
+            "ji b",
+            "ttae mun",
+            "m ae",
+            "i b",
+            "e neun",
+            "eu g",
+            "jeo m",
+            "geul eon",
+            "h wa",
+            "a ssda",
+            "b eob",
+            "bu t",
+            "b ae",
+            "yeo ss",
+            "ch in",
+            "ch aeg",
+            "g eon",
+            "g ae",
+            "nae ga",
+            "i ga",
+            "m og",
+            "sig an",
+            "g il",
+            "h yeon",
+            "l yeog",
+            "gu g",
+            "p yeon",
+            "s an",
+            "w ae",
+            "j ul",
+            "s eul",
+            "deun g",
+            "haji man",
+            "eum yeon",
+            "p il",
+            "m ol",
+            "n eu",
+            "a ss",
+            "n yeon",
+            "t ae",
+            "h u",
+            "p yo",
+            "s ul",
+            "g ang",
+            "j ineun",
+            "b eon",
+            "ha da",
+            "seo l",
+            "si p",
+            "dal eun",
+            "a p",
+            "sal m",
+            "g yo",
+            "ch eon",
+            "hag i",
+            "in a",
+            "cheol eom",
+            "g al",
+            "il a",
+            "kka ji",
+            "anh neun",
+            "ha bnida",
+            "tt eon",
+            "n u",
+            "hae seo",
+            "doen da",
+            "s ol",
+            "tt al",
+            "l a",
+            "il o",
+            "seu b",
+            "b yeon",
+            "m yeo",
+            "b eol",
+            "s on",
+            "n un",
+            "j un",
+            "j am",
+            "j eung",
+            "tt o",
+            "e n",
+            "mo m",
+            "h o",
+            "ch im",
+            "hw ang",
+            "eun eun",
+            "jo ng",
+            "bo da",
+            "n ol",
+            "n eom",
+            "but eo",
+            "jig eum",
+            "eobs da",
+            "dae lo",
+            "i g",
+            "y ul",
+            "p yeong",
+            "seon eun",
+            "sal ang",
+            "seu t",
+            "h im",
+            "n an",
+            "h eom",
+            "h yang",
+            "p i",
+            "gw ang",
+            "eobs neun",
+            "hw ag",
+            "ge ss",
+            "jag i",
+            "il eon",
+            "wi hae",
+            "dae han",
+            "ga ji",
+            "m eog",
+            "j yeo",
+            "cha j",
+            "b yeong",
+            "eo d",
+            "g yeo",
+            "do n",
+            "eo ji",
+            "g ul",
+            "mo deun",
+            "j on",
+            "in saeng",
+            "geul ae",
+            "h ang",
+            "sa sil",
+            "si b",
+            "ch al",
+            "il ago",
+            "doe l",
+            "g eum",
+            "doe neun",
+            "b ol",
+            "ga jang",
+            "geul igo",
+            "e l",
+            "h yeong",
+            "haeng bog",
+            "ch ul",
+            "h on",
+            "ch ae",
+            "s am",
+            "m ang",
+            "in da",
+            "da m",
+            "w ol",
+            "ch oe",
+            "d ul",
+            "si jag",
+            "ch eong",
+            "il aneun",
+            "ul ineun",
+            "ae n",
+            "kk e",
+            "mun je",
+            "a do",
+            "t eu",
+            "g un",
+            "geun eun",
+            "b ge",
+            "ch eo",
+            "b aeg",
+            "ju g",
+            "t a",
+            "sang dae",
+            "geu geos",
+            "do g",
+            "eu s",
+            "deu s",
+            "ja b",
+            "h yeo",
+            "tt eohge",
+            "u g",
+            "ma j",
+            "ch il",
+            "s wi",
+            "j ileul",
+            "ch ang",
+            "g aneun",
+            "m ag",
+            "i ji",
+            "da go",
+            "m in",
+            "yo han",
+            "t eug",
+            "pp un",
+            "al eul",
+            "haeng dong",
+            "p o",
+            "m il",
+            "ch am",
+            "se sang",
+            "e do",
+            "p an",
+            "man deul",
+            "am yeon",
+            "a b",
+            "kk ae",
+            "b ag",
+            "i deul",
+            "p um",
+            "m eol",
+            "s un",
+            "n eul",
+            "ham kke",
+            "chu ng",
+            "da b",
+            "yu g",
+            "s ag",
+            "gwang ye",
+            "il eohge",
+            "bal o",
+            "neun de",
+            "ham yeo",
+            "go s",
+            "geul eoh",
+            "an ila",
+            "bang beob",
+            "da si",
+            "b yeol",
+            "g yeon",
+            "gam jeong",
+            "on eul",
+            "j aneun",
+            "yeo m",
+            "l ago",
+            "i gi",
+            "hw an",
+            "t eul",
+            "eo seo",
+            "si k",
+            "ch o",
+            "jag a",
+            "geul eom",
+            "geul eona",
+            "jeong do",
+            "g yeog",
+            "geul eohge",
+            "geu deul",
+            "eu t",
+            "im yeon",
+            "j jae",
+            "k eun",
+            "i sang",
+            "mal haessda",
+            "eu ge",
+            "no p",
+            "in gan",
+            "bo myeon",
+            "t aeg",
+            "seu s",
+            "d wi",
+            "s aneun",
+            "w an",
+            "anh go",
+            "t an",
+            "nu gu",
+            "su ng",
+            "da myeon",
+            "a deul",
+            "p eul",
+            "ttal a",
+            "d i",
+            "geos do",
+            "a ji",
+            "m eon",
+            "eum yeo",
+            "dol og",
+            "neun g",
+            "mo du"
+        ]
+    }
+}
\ No newline at end of file
diff --git a/modules/xttscli.py b/modules/xttscli.py
new file mode 100644
index 0000000..9a9feb8
--- /dev/null
+++ b/modules/xttscli.py
@@ -0,0 +1,214 @@
+import sys
+import os
+import argparse
+import logging
+import traceback
+import torch
+import torchaudio
+import tempfile
+from pathlib import Path
+from TTS.tts.configs.xtts_config import XttsConfig
+from TTS.tts.models.xtts import Xtts
+
+XTTS_MODEL = None
+
+
+def prepare_speaker_audio(speaker):
+    """
+    Prepares the speaker audio file and returns the speaker file path.
+    For .wav and .mp3 files, it directly returns the file path for model processing.
+    """
+    if speaker.endswith(".wav") or speaker.endswith(".mp3"):
+        print(f"Using speaker audio file: {speaker}")
+        return speaker, None  # No precomputed speaker embedding
+    elif speaker.endswith(".pth"):
+        print(f"Loading preprocessed speaker embedding from .pth file: {speaker}")
+        speaker_embedding = torch.load(speaker)
+        return None, speaker_embedding  # Return precomputed speaker embedding
+    else:
+        raise ValueError("Unsupported speaker file format. Please provide a .wav, .mp3, or .pth file.")
+
+
+def run_tts(lang, tts_text, speaker_audio_file, speaker_embedding, device):
+    """
+    Generates TTS using the XTTS model, either from speaker audio or precomputed speaker embedding.
+    """
+    if XTTS_MODEL is None:
+        raise ValueError("You need to load the model.")
+
+    # Generate conditioning latents from speaker audio if provided
+    if speaker_audio_file is not None:
+        print(f"Using speaker audio file: {speaker_audio_file}")
+        gpt_cond_latent, speaker_embedding = XTTS_MODEL.get_conditioning_latents(
+            audio_path=speaker_audio_file,
+            gpt_cond_len=XTTS_MODEL.config.gpt_cond_len,
+            max_ref_length=XTTS_MODEL.config.max_ref_len,
+            sound_norm_refs=XTTS_MODEL.config.sound_norm_refs
+        )
+    elif speaker_embedding is not None:
+        raise ValueError("Precomputed speaker embeddings are not directly usable without gpt_cond_latent.")
+
+    # Perform inference
+    out = XTTS_MODEL.inference(
+        text=tts_text,
+        language=lang,
+        gpt_cond_latent=gpt_cond_latent,
+        speaker_embedding=speaker_embedding,
+        temperature=XTTS_MODEL.config.temperature,
+        length_penalty=XTTS_MODEL.config.length_penalty,
+        repetition_penalty=XTTS_MODEL.config.repetition_penalty,
+        top_k=XTTS_MODEL.config.top_k,
+        top_p=XTTS_MODEL.config.top_p,
+        enable_text_splitting=True
+    )
+
+    # Move the output tensor to CPU before saving
+    out["wav"] = torch.tensor(out["wav"]).unsqueeze(0).to("cpu")  # Ensure tensor is on CPU
+
+    # Save the generated speech to a temporary file
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        out_path = fp.name
+        torchaudio.save(out_path, out["wav"], 24000)  # Save the tensor to disk
+
+    return out_path
+
+
+def clear_gpu_cache():
+    if torch.cuda.is_available():
+        torch.cuda.empty_cache()
+
+
+def load_model(xtts_checkpoint, xtts_config, xtts_vocab, device):
+    """
+    Loads the XTTS model from checkpoint, config, and vocab files.
+    """
+    global XTTS_MODEL
+    clear_gpu_cache()
+
+    if not xtts_checkpoint or not xtts_config or not xtts_vocab:
+        raise ValueError("You need to set the XTTS checkpoint path, XTTS config path, and XTTS vocab path!")
+
+    config = XttsConfig()
+    config.load_json(xtts_config)
+
+    XTTS_MODEL = Xtts.init_from_config(config)
+    print("Loading XTTS model!")
+
+    XTTS_MODEL.load_checkpoint(config, checkpoint_path=xtts_checkpoint, vocab_path=xtts_vocab, use_deepspeed=False)
+
+    if "cuda" in device and torch.cuda.is_available():
+        XTTS_MODEL.cuda(device)
+        print(f"Model moved to GPU: {device}")
+    else:
+        print(f"Using device: {device}")
+
+
+def main():
+    # Set up logging
+    log_file = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'xtts_cli.log')
+    logging.basicConfig(filename=log_file, level=logging.ERROR, format='%(asctime)s %(levelname)s %(message)s')
+
+    # Default paths for the config, checkpoint, and vocab
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    default_config_path = os.path.join(script_dir, 'config.json')
+    default_checkpoint_path = os.path.join(script_dir, 'model.pth')
+    default_vocab_path = os.path.join(script_dir, 'vocab.json')
+    default_speaker_path = os.path.join(script_dir, 'speaker.mp3')  # Default speaker audio file
+    default_test_file_path = os.path.join(script_dir, 'test.speech')  # Default text file for --test
+
+    parser = argparse.ArgumentParser(description="CLI for XTTS model loading and TTS generation.")
+    parser.add_argument('--checkpoint', default=default_checkpoint_path,
+                        help=f"Path to XTTS checkpoint file. Default: {default_checkpoint_path}")
+    parser.add_argument('--config', default=default_config_path,
+                        help=f"Path to XTTS config file. Default: {default_config_path}")
+    parser.add_argument('--vocab', default=default_vocab_path,
+                        help=f"Path to XTTS vocab file. Default: {default_vocab_path}")
+    parser.add_argument('--speaker', default=default_speaker_path,
+                        help=f"Path to speaker audio file (raw .wav, .mp3, or preprocessed .pth). Default: {default_speaker_path}")
+    parser.add_argument('--text', help="Text to synthesize.")
+    parser.add_argument('--file', help="File containing text to synthesize (one text per line).")
+    parser.add_argument('--lang', default='en', help="Language for the TTS.")
+    parser.add_argument('--output', help="Path to save the output TTS file.")
+    parser.add_argument('--device', default='cuda:0', help="Device to run the model on. Default: cuda:0")
+    parser.add_argument('--test', action='store_true', help="Run a test TTS using the test.speech file.")
+
+    args = parser.parse_args()
+
+    try:
+        # Preprocess the speaker file if it's a .wav or .mp3 file
+        args.speaker, speaker_embedding = prepare_speaker_audio(args.speaker)
+
+        # Handle test case
+        if args.test:
+            print("Running test with default parameters...")
+            if not os.path.exists(default_test_file_path):
+                raise FileNotFoundError(f"The test file '{default_test_file_path}' does not exist. Please create it.")
+
+            args.file = default_test_file_path
+            args.output = os.path.join(script_dir, 'test_output.wav')
+            print(f"Test file: {args.file}")
+            print(f"Output will be saved to: {args.output}")
+
+        # Handle the --file argument
+        if args.file:
+            print(f"Reading text from file: {args.file}")
+            with open(args.file, 'r') as f:
+                args.text = f.read().splitlines()
+
+        elif not args.text:
+            raise ValueError("Text or a file with text must be provided unless running in test mode.")
+
+        # Load the XTTS model
+        load_model(args.checkpoint, args.config, args.vocab, args.device)
+
+        # Process multiple lines of text (if from file)
+        if isinstance(args.text, list):
+            for i, tts_text in enumerate(args.text):
+                output_path = run_tts(
+                    lang=args.lang,
+                    tts_text=tts_text,
+                    speaker_audio_file=args.speaker,
+                    speaker_embedding=speaker_embedding,
+                    device=args.device
+                )
+
+                output_file = f"{args.output}_{i}.wav" if args.output else f'./output_{i}.wav'
+                try:
+                    os.rename(output_path, output_file)
+                except Exception as e:
+                    import shutil
+                    # try copy then delete
+                    shutil.copy(output_path, output_file)
+                    os.remove(output_path)
+
+                print(f"TTS generation complete for line {i + 1}. Output saved to {output_file}")
+        else:
+            # Generate TTS for a single text input
+            output_path = run_tts(
+                lang=args.lang,
+                tts_text=args.text,
+                speaker_audio_file=args.speaker,
+                speaker_embedding=speaker_embedding,
+                device=args.device
+            )
+
+            output_file = args.output if args.output else './output.wav'
+            try:
+                os.rename(output_path, output_file)
+            except Exception as e:
+                import shutil
+                # try copy then delete
+                shutil.copy(output_path, output_file)
+                os.remove(output_path)
+
+            print(f"TTS generation complete. Output saved to {output_file}")
+
+    except Exception as e:
+        logging.error("An error occurred: %s", traceback.format_exc())
+        print(f"An error occurred. Check the log file at {log_file} for details.")
+
+
+if __name__ == '__main__':
+    # For testing
+    sys.argv = [sys.argv[0], '--test']
+    main()