Initial commit: audiobook generator, proper noun auditor GUI

run_michael.py

@@ -0,0 +1,19 @@
+import torch, numpy as np, soundfile as sf
+from kokoro import KPipeline
+from text_input import TEXT
+
+pipeline = KPipeline(lang_code="a")
+print(f"GPU: {torch.cuda.get_device_name(0)}" if torch.cuda.is_available() else "CPU")
+print("Generating am_michael ...")
+
+chunks = []
+for _, _, chunk_audio in pipeline(TEXT, voice="am_michael", speed=1.0):
+    if hasattr(chunk_audio, "numpy"):
+        chunk_audio = chunk_audio.cpu().numpy()
+    chunk_audio = np.atleast_1d(chunk_audio.squeeze())
+    if chunk_audio.size > 0:
+        chunks.append(chunk_audio)
+
+audio = np.concatenate(chunks)
+sf.write("output_am_michael.wav", audio, 24000)
+print(f"Saved output_am_michael.wav  ({len(audio)/24000:.1f}s)")