tcpsyn
029ce6d689
- FastAPI backend with multiple TTS providers (Inworld, ElevenLabs, Kokoro, F5-TTS, etc.) - Web frontend with caller management, music, and soundboard - Whisper transcription integration - OpenRouter/Ollama LLM support - Castopod podcast publishing script Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
import os
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os.environ["SUNO_USE_SMALL_MODELS"] = "False"
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from bark import generate_audio, preload_models
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from scipy.io.wavfile import write as write_wav
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from scipy.signal import butter, filtfilt
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import numpy as np
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def phone_filter(audio, sample_rate=24000):
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"""Apply telephone bandpass filter (300Hz - 3400Hz)"""
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low = 300 / (sample_rate / 2)
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high = 3400 / (sample_rate / 2)
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b, a = butter(4, [low, high], btype='band')
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filtered = filtfilt(b, a, audio)
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# Add slight compression and normalize
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filtered = np.tanh(filtered * 1.5) * 0.9
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return filtered.astype(np.float32)
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# Define your callers
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CALLERS = [
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{
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"name": "caller1_mike",
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"voice": "v2/en_speaker_6",
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"text": """Hey, thanks for taking my call!
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So I've been thinking about this a lot and...
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I know it sounds crazy, but hear me out."""
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},
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{
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"name": "caller2_sarah",
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"voice": "v2/en_speaker_9",
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"text": """Hi! Oh my gosh, I can't believe I got through.
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Okay so... this is kind of a long story,
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but basically I had this experience last week that blew my mind."""
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},
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{
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"name": "caller3_dave",
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"voice": "v2/en_speaker_1",
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"text": """Yeah, hey. First time caller, long time listener.
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Look, I gotta be honest with you here,
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I think you're missing something important."""
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},
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{
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"name": "caller4_jenny",
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"voice": "v2/en_speaker_3",
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"text": """Okay okay, so get this...
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I was literally just talking about this with my friend yesterday!
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And she said, and I quote, well, I can't say that on air."""
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},
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]
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def main():
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print("Loading models...")
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preload_models()
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os.makedirs("output", exist_ok=True)
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for caller in CALLERS:
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print(f"\nGenerating: {caller['name']}")
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# Generate raw audio
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audio = generate_audio(caller["text"], history_prompt=caller["voice"])
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# Save clean version
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write_wav(f"output/{caller['name']}_clean.wav", 24000, audio)
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# Apply phone filter and save
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phone_audio = phone_filter(audio)
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write_wav(f"output/{caller['name']}_phone.wav", 24000, phone_audio)
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print(f" Saved: output/{caller['name']}_clean.wav")
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print(f" Saved: output/{caller['name']}_phone.wav")
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print("\nDone! Check the output/ folder.")
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if __name__ == "__main__":
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main()
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