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Update app.py
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app.py
CHANGED
@@ -37,21 +37,23 @@ def whisper_speech_demo(text, lang, speaker_audio, mix_lang, mix_text):
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resample_audio = resampler(newsr=24000)
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audio_data_resampled = next(resample_audio([{'sample_rate': 22050, 'samples': audio_data.cpu()}]))['samples_24k']
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# Normalize and write to a WAV file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
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tmp_file_name = tmp_file.name
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audio_np = audio_data_resampled.numpy() # Convert to numpy array
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# Normalize if necessary
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if audio_np.max() > 1.0 or audio_np.min() < -1.0:
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audio_np = audio_np / np.max(np.abs(audio_np))
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audio_np = np.expand_dims(audio_np, axis=1)
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return tmp_file_name
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resample_audio = resampler(newsr=24000)
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audio_data_resampled = next(resample_audio([{'sample_rate': 22050, 'samples': audio_data.cpu()}]))['samples_24k']
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with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
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tmp_file_name = tmp_file.name
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audio_np = audio_data_resampled.numpy() # Convert to numpy array
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if audio_np.max() > 1.0 or audio_np.min() < -1.0:
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audio_np = audio_np / np.max(np.abs(audio_np))
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if audio_np.ndim > 1:
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audio_np = audio_np[:,0]
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audio_np = np.int16(audio_np * 32767)
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with wave.open(tmp_file_name, 'w') as wav_file:
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wav_file.setnchannels(1)
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wav_file.setsampwidth(2)
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wav_file.setframerate(24000)
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wav_file.writeframes(audio_np.tobytes())
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return tmp_file_name
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