Tested text speak with 2 files added to the root directory
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6 changed files with 162 additions and 0 deletions
28
core/asset_generator.py
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28
core/asset_generator.py
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import os
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import edge_tts
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class AssetGenerator:
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def __init__(self):
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# Explicit Castilian (es-ES) neural models
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self.voices = {
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"male": "es-ES-AlvaroNeural",
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"female": "es-ES-ElviraNeural"
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}
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async def generate_speech(self, text: str, output_path: str, gender: str = "male"):
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"""
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Synthesizes Spanish text into an MP3 file using the selected Castilian voice gender.
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Default is set to male, but can be explicitly overwritten with 'female'.
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"""
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# Fallback to male if an invalid string is passed
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voice_key = gender.lower() if gender.lower() in self.voices else "male"
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selected_voice = self.voices[voice_key]
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# Ensure target media folder exists locally
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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# Configure and execute the asynchronous stream
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communicate = edge_tts.Communicate(text, selected_voice)
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await communicate.save(output_path)
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return output_path
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@ -7,6 +7,7 @@ requires-python = ">=3.13"
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dependencies = [
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"edge-tts>=7.2.8",
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"fastdtw>=0.3.4",
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"genanki>=0.13.1",
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"librosa>=0.11.0",
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"numpy>=2.4.6",
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"pillow>=12.2.0",
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25
test_dual.py
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25
test_dual.py
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import asyncio
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from core.asset_generator import AssetGenerator
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async def test():
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generator = AssetGenerator()
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# Generate the Male sample
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print("Generating male Castilian audio...")
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await generator.generate_speech(
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text="Hola, soy Álvaro y hablo con voz masculina.",
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output_path="media/test_male.mp3",
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gender="male"
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)
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# Generate the Female sample
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print("Generating female Castilian audio...")
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await generator.generate_speech(
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text="Hola, soy Elvira y hablo con voz femenina.",
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output_path="media/test_female.mp3",
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gender="female"
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)
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print("✨ Both files exported to the /media directory successfully!")
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if __name__ == "__main__":
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asyncio.run(test())
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28
test_tts.py
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28
test_tts.py
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@ -0,0 +1,28 @@
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import asyncio
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import os
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import edge_tts
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# 1. Define the phrase, output path, and target Castellano voice
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SPANISH_TEXT = "¡Buenos días! ¿Cómo estás? Bienvenido a tu curso de español."
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OUTPUT_FILE = "media/buenos_dias_castellano-Female.mp3"
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#VOICE = "es-ES-AlvaroNeural" # Swap to "es-ES-ElviraNeural" if you prefer a female tone
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VOICE = "es-ES-ElviraNeural" # Swap to "es-ES-ElviraNeural" if you prefer a female tone
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async def generate_castilian_audio():
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# Ensure our target media folder exists locally
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os.makedirs(os.path.dirname(OUTPUT_FILE), exist_ok=True)
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print(f"🔄 Synthesizing text using Castilian voice: {VOICE}...")
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# 2. Configure the Communicate engine
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communicate = edge_tts.Communicate(SPANISH_TEXT, VOICE)
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# 3. Stream and write the data packets to disk
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await communicate.save(OUTPUT_FILE)
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print(f"✨ Success! MP3 file exported safely to: {OUTPUT_FILE}")
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print(f"📂 File size: {os.path.getsize(OUTPUT_FILE)} bytes")
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if __name__ == "__main__":
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# Run the async loop loop natively
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asyncio.run(generate_castilian_audio())
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80
uv.lock
80
uv.lock
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@ -9,6 +9,7 @@ source = { virtual = "." }
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dependencies = [
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{ name = "edge-tts" },
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{ name = "fastdtw" },
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{ name = "genanki" },
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{ name = "librosa" },
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{ name = "numpy" },
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{ name = "pillow" },
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@ -21,6 +22,7 @@ dependencies = [
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requires-dist = [
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{ name = "edge-tts", specifier = ">=7.2.8" },
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{ name = "fastdtw", specifier = ">=0.3.4" },
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{ name = "genanki", specifier = ">=0.13.1" },
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{ name = "librosa", specifier = ">=0.11.0" },
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]
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[[package]]
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||||
name = "requests"
|
||||
version = "2.34.2"
|
||||
|
|
|
|||
Loading…
Reference in a new issue