Add flake.nix with portaudio + CUDA, microphone support in transcribe.py

This commit is contained in:
2026-05-26 01:55:54 +08:00
parent 8b88489a53
commit 55a51a7668
2 changed files with 51 additions and 10 deletions
+21
View File
@@ -0,0 +1,21 @@
{
description = "Cohere Transcribe dev environment with microphone support";
inputs = {
nixpkgs.url = "github:NixOS/nixpkgs/nixpkgs-unstable";
};
outputs = { nixpkgs, ... }: {
devShells.x86_64-linux.default = nixpkgs.legacyPackages.x86_64-linux.mkShell {
buildInputs = with nixpkgs.legacyPackages.x86_64-linux; [
portaudio
cudaPackages.cudatoolkit
];
shellHook = ''
export LD_LIBRARY_PATH="${cudaPackages.cudatoolkit}/lib:$LD_LIBRARY_PATH"
echo "Dev shell ready - microphone input enabled"
'';
};
};
}
+30 -10
View File
@@ -1,3 +1,6 @@
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
@@ -18,14 +21,31 @@ def transcribe_audio(audio, language="en"):
text = processor.decode(outputs, skip_special_tokens=True)
return text
# Use demo audio file from Hugging Face
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)
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()
print("Transcribing...")
text = transcribe_audio(audio)
print(f"\nTranscription:\n{text}\n")
# 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")