Initial commit: add CLAUDE.md and transcribe.py

transcribe.py

@@ -0,0 +1,51 @@
+import sys
+import numpy as np
+import sounddevice as sd
+from transformers import AutoProcessor, CohereAsrForConditionalGeneration
+from transformers.audio_utils import load_audio
+from huggingface_hub import hf_hub_download
+
+# Load model
+print("Loading model...")
+processor = AutoProcessor.from_pretrained("CohereLabs/cohere-transcribe-03-2026")
+model = CohereAsrForConditionalGeneration.from_pretrained(
+    "CohereLabs/cohere-transcribe-03-2026",
+    device_map="auto"
+)
+
+def transcribe_audio(audio, language="en"):
+    inputs = processor(audio, sampling_rate=16000, return_tensors="pt", language=language)
+    inputs.to(model.device, dtype=model.dtype)
+    
+    outputs = model.generate(**inputs, max_new_tokens=256)
+    text = processor.decode(outputs, skip_special_tokens=True)
+    return text
+
+def record_audio(duration, samplerate=16000):
+    print(f"Recording for {duration} seconds...")
+    audio = sd.rec(int(duration * samplerate), samplerate=samplerate, channels=1, dtype='float32')
+    sd.wait()
+    return audio.flatten()
+
+# Parse arguments
+if len(sys.argv) > 1 and sys.argv[1] == "--mic":
+    duration = int(sys.argv[2]) if len(sys.argv) > 2 else 5
+    try:
+        mic_audio = record_audio(duration)
+        print("Transcribing...")
+        text = transcribe_audio(mic_audio)
+        print(f"\nTranscription:\n{text}\n")
+    except OSError as e:
+        print(f"Microphone error: {e}")
+        print("Hint: Run with nix-shell for PortAudio support")
+else:
+    print("Loading demo audio...")
+    audio_file = hf_hub_download(
+        repo_id="CohereLabs/cohere-transcribe-03-2026",
+        filename="demo/voxpopuli_test_en_demo.wav",
+    )
+    audio = load_audio(audio_file, sampling_rate=16000)
+
+    print("Transcribing...")
+    text = transcribe_audio(audio)
+    print(f"\nTranscription:\n{text}\n")