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Vocalizr

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MH0386 commited on 10 days ago

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2404bb8

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1 Parent(s): 1458ba2

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Files changed (5) hide show

pyproject.toml +6 -6
src/vocalizr/__init__.py +14 -5
src/vocalizr/gui.py +12 -25
src/vocalizr/model.py +20 -10
uv.lock +53 -59

pyproject.toml CHANGED Viewed

@@ -21,24 +21,24 @@ build-backend = "uv_build"
 [dependency-groups]
 dev = [
     "mypy>=1.15.0",
-    "pyrefly>=0.14.0",
     "black>=25.1.0",
     "watchfiles>=1.0.5",
-    "ruff>=0.11.9",
     "typos>=1.32.0",
     "pylint>=3.3.7",
     "pyright>=1.1.400",
-    "huggingface-hub[cli,hf-transfer]>=0.31.1",
 ]
 [tool.typos.default.extend-words]
 Chatacter = "Chatacter"
-[tool.mypy]
-ignore_missing_imports = true
 [tool.pylint]
 disable = ["E1101", "C0114"]
 [tool.uv.sources]
 en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" }

 [dependency-groups]
 dev = [
     "mypy>=1.15.0",
     "black>=25.1.0",
     "watchfiles>=1.0.5",
+    "ruff>=0.11.10",
     "typos>=1.32.0",
     "pylint>=3.3.7",
     "pyright>=1.1.400",
+    "huggingface-hub[cli,hf-transfer]>=0.31.2",
+    "ty>=0.0.1a3",
 ]
 [tool.typos.default.extend-words]
 Chatacter = "Chatacter"
 [tool.pylint]
 disable = ["E1101", "C0114"]
+[tool.ruff]
+show-fixes = true
 [tool.uv.sources]
 en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" }

src/vocalizr/__init__.py CHANGED Viewed

@@ -1,16 +1,24 @@
 from datetime import datetime
 from os import getenv
 from pathlib import Path
 from dotenv import load_dotenv
 from kokoro import KPipeline
 from loguru import logger
 from torch import cuda
 load_dotenv()
-DEBUG: bool = getenv(key="DEBUG", default="False").lower() == "true"
-CHAR_LIMIT: int = int(getenv(key="CHAR_LIMIT", default="-1"))
 SERVER_NAME: str = getenv(key="GRADIO_SERVER_NAME", default="localhost")
 SERVER_PORT: int = int(getenv(key="GRADIO_SERVER_PORT", default="8080"))
 PIPELINE: KPipeline = KPipeline(lang_code="a", repo_id="hexgrad/Kokoro-82M")
@@ -32,11 +40,12 @@ logger.add(
     colorize=True,
 )
 logger.info(f"CUDA Available: {CUDA_AVAILABLE}")
-logger.info(f"Char limit: {CHAR_LIMIT}")
 logger.info(f"Base directory: {BASE_DIR}")
 logger.info(f"Results directory: {RESULTS_DIR}")
-logger.info(f"Current date: {CURRENT_DATE}")
 logger.info(f"Audio file path: {AUDIO_FILE_PATH}")
 CHOICES: dict[str, str] = {
     "🇺🇸 🚺 Heart ❤️": "af_heart",

 from datetime import datetime
 from os import getenv
 from pathlib import Path
 from dotenv import load_dotenv
 from kokoro import KPipeline
 from loguru import logger
 from torch import cuda
+from warnings import filterwarnings
+filterwarnings(
+    action="ignore",
+    message="dropout option adds dropout after all but last recurrent layer",
+)
+filterwarnings(
+    action="ignore",
+    message="`torch.nn.utils.weight_norm` is deprecated",
+)
 load_dotenv()
+DEBUG: bool = getenv(key="DEBUG", default="True").lower() == "true"
 SERVER_NAME: str = getenv(key="GRADIO_SERVER_NAME", default="localhost")
 SERVER_PORT: int = int(getenv(key="GRADIO_SERVER_PORT", default="8080"))
 PIPELINE: KPipeline = KPipeline(lang_code="a", repo_id="hexgrad/Kokoro-82M")
     colorize=True,
 )
 logger.info(f"CUDA Available: {CUDA_AVAILABLE}")
+logger.info(f"Current date: {CURRENT_DATE}")
 logger.info(f"Base directory: {BASE_DIR}")
 logger.info(f"Results directory: {RESULTS_DIR}")
+logger.info(f"Log directory: {LOG_DIR}")
 logger.info(f"Audio file path: {AUDIO_FILE_PATH}")
+logger.info(f"Log file path: {LOG_FILE_PATH}")
 CHOICES: dict[str, str] = {
     "🇺🇸 🚺 Heart ❤️": "af_heart",

src/vocalizr/gui.py CHANGED Viewed

@@ -8,9 +8,9 @@ from gradio import (
     Row,
     Slider,
     Textbox,
 )
-from vocalizr import CHOICES, CUDA_AVAILABLE
 from vocalizr.model import generate_audio_for_text
@@ -22,10 +22,7 @@ def app_block() -> Blocks:
     with Blocks() as app:
         with Row():
             with Column():
-                text: Textbox = Textbox(
-                    label="Input Text",
-                    info="Enter your text here",
-                )
                 with Row():
                     voice: Dropdown = Dropdown(
                         choices=list(CHOICES.items()),
@@ -36,14 +33,13 @@ def app_block() -> Blocks:
                     Dropdown(
                         choices=[("GPU 🚀", True), ("CPU 🐌", False)],
                         value=CUDA_AVAILABLE,
-                        label="Hardware",
-                        info="GPU is usually faster, but has a usage quota",
                         interactive=CUDA_AVAILABLE,
                     )
-                    save_file = Checkbox(
-                        label="Save Audio",
-                        info="Save audio to local storage",
-                    )
                 speed: Slider = Slider(
                     minimum=0.5,
                     maximum=2,
@@ -59,21 +55,12 @@ def app_block() -> Blocks:
                     autoplay=True,
                 )
                 with Row():
-                    stream_btn: Button = Button(
-                        value="Generate",
-                        variant="primary",
-                    )
-                    stop_btn: Button = Button(
-                        value="Stop",
-                        variant="stop",
-                    )
         stream_event = stream_btn.click(
             fn=generate_audio_for_text,
-            inputs=[text, voice, speed, save_file],
             outputs=[out_audio],
         )
-        stop_btn.click(
-            fn=None,
-            cancels=stream_event,
-        )
     return app

     Row,
     Slider,
     Textbox,
+    Number,
 )
+from vocalizr import CHOICES, CUDA_AVAILABLE, DEBUG
 from vocalizr.model import generate_audio_for_text
     with Blocks() as app:
         with Row():
             with Column():
+                text: Textbox = Textbox(label="Input Text", info="Enter your text here")
                 with Row():
                     voice: Dropdown = Dropdown(
                         choices=list(CHOICES.items()),
                     Dropdown(
                         choices=[("GPU 🚀", True), ("CPU 🐌", False)],
                         value=CUDA_AVAILABLE,
+                        label="Current Hardware",
                         interactive=CUDA_AVAILABLE,
                     )
+                    char_limit: Number = Number(label="Character Limit", value=-1)
+                with Row():
+                    save_file: Checkbox = Checkbox(label="Save Audio File")
+                    debug: Checkbox = Checkbox(value=DEBUG, label="Debug")
                 speed: Slider = Slider(
                     minimum=0.5,
                     maximum=2,
                     autoplay=True,
                 )
                 with Row():
+                    stream_btn: Button = Button(value="Generate", variant="primary")
+                    stop_btn: Button = Button(value="Stop", variant="stop")
         stream_event = stream_btn.click(
             fn=generate_audio_for_text,
+            inputs=[text, voice, speed, save_file, debug, char_limit],
             outputs=[out_audio],
         )
+        stop_btn.click(fn=None, cancels=stream_event)
     return app

src/vocalizr/model.py CHANGED Viewed

@@ -7,7 +7,7 @@ from numpy import float32
 from numpy.typing import NDArray
 from soundfile import write
-from vocalizr import AUDIO_FILE_PATH, CHAR_LIMIT, PIPELINE
 @logger.catch
@@ -31,10 +31,14 @@ def save_file_wav(audio: NDArray[float32]) -> None:
         raise RuntimeError(f"Failed to save audio to {AUDIO_FILE_PATH}: {e}") from e
-# noinspection PyTypeChecker
 @logger.catch
 def generate_audio_for_text(
-    text: str, voice: str = "af_heart", speed: float = 1, save_file: bool = False
 ) -> Generator[tuple[Literal[24000], NDArray[float32]], Any, None]:
     """
     Generates audio from the provided text using the specified voice and speed.
@@ -57,26 +61,32 @@ def generate_audio_for_text(
         to False.
     :type save_file: bool
     :return: A generator that yields tuples, where the first element is the
         fixed sampling rate of 24,000 Hz, and the second element is a NumPy
         array representing the generated audio data.
     :rtype: Generator[tuple[Literal[24000], NDArray[float32]], Any, None]
     """
-    try:
-        text = text if CHAR_LIMIT == -1 else text.strip()[:CHAR_LIMIT]
-    except Exception as e:
-        logger.exception(str(object=e))
-        raise Error(message=str(object=e)) from e
     generator: Generator[KPipeline.Result, None, None] = PIPELINE(
         text=text, voice=voice, speed=speed
     )
-    logger.info(f"Generating audio for '{text}'")
     for _, _, audio in generator:
         if audio is None or isinstance(audio, str):
             logger.exception(f"Unexpected type (audio): {type(audio)}")
             raise Error(message=f"Unexpected type (audio): {type(audio)}")
         audio_np: NDArray[float32] = audio.numpy()
         if save_file:
             save_file_wav(audio=audio_np)
-            logger.info(f"Yielding audio for '{text}'")
         yield 24000, audio_np

 from numpy.typing import NDArray
 from soundfile import write
+from vocalizr import AUDIO_FILE_PATH, PIPELINE
 @logger.catch
         raise RuntimeError(f"Failed to save audio to {AUDIO_FILE_PATH}: {e}") from e
 @logger.catch
 def generate_audio_for_text(
+    text: str,
+    voice: str = "af_heart",
+    speed: float = 1.0,
+    save_file: bool = False,
+    debug: bool = False,
+    char_limit: int = -1,
 ) -> Generator[tuple[Literal[24000], NDArray[float32]], Any, None]:
     """
     Generates audio from the provided text using the specified voice and speed.
         to False.
     :type save_file: bool
+    :param debug: Whether to enable debug mode. Defaults to False.
+    :type debug: bool
+    :param char_limit: The maximum number of characters to include in the input
+    :type char_limit: int
     :return: A generator that yields tuples, where the first element is the
         fixed sampling rate of 24,000 Hz, and the second element is a NumPy
         array representing the generated audio data.
     :rtype: Generator[tuple[Literal[24000], NDArray[float32]], Any, None]
     """
+    if not text:
+        logger.exception("No text provided")
+    elif len(text) < 4:
+        logger.exception(f"Text too short: {text} with length {len(text)}")
+    text = text if char_limit == -1 else text.strip()[:char_limit]
     generator: Generator[KPipeline.Result, None, None] = PIPELINE(
         text=text, voice=voice, speed=speed
     )
     for _, _, audio in generator:
         if audio is None or isinstance(audio, str):
             logger.exception(f"Unexpected type (audio): {type(audio)}")
             raise Error(message=f"Unexpected type (audio): {type(audio)}")
+        logger.info(f"Generating audio for '{text}'")
         audio_np: NDArray[float32] = audio.numpy()
         if save_file:
+            logger.info(f"Saving audio file at {AUDIO_FILE_PATH}")
             save_file_wav(audio=audio_np)
         yield 24000, audio_np

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     { name = "mypy" },
     { name = "pylint" },
     { name = "pyright" },
     { name = "ruff" },
+    { name = "ty" },
     { name = "typos" },
     { name = "watchfiles" },
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