b54c2def30
- Add database migrations (006-028) for face recognition, identity, file_uuid - Add test scripts for ASR, face, search, processing - Add portal frontend (Tauri) - Add config, benchmark, and monitoring utilities - Add model checkpoints and pretrained model references
86 lines
1.9 KiB
Python
86 lines
1.9 KiB
Python
#!/usr/bin/env python3
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import sys
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import time
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print("Start")
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print("Importing faster_whisper...")
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try:
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from faster_whisper import WhisperModel
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print("Import successful")
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except Exception as e:
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print(f"Import failed: {e}")
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sys.exit(1)
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print("Loading model...")
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try:
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model = WhisperModel("tiny", device="cpu", compute_type="int8")
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print("Model loaded")
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except Exception as e:
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print(f"Model load failed: {e}")
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sys.exit(1)
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import subprocess
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print("Getting duration...")
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cmd = [
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"ffprobe",
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"-v",
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"error",
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"-show_entries",
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"format=duration",
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"-of",
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"csv=p=0",
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"/tmp/test_audio.wav",
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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print(f"ffprobe output: {result.stdout}")
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duration = float(result.stdout.strip())
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print(f"Duration: {duration}")
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# Extract first chunk
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print("Extracting first chunk...")
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chunk_path = "/tmp/debug_chunk.wav"
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cmd = [
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"ffmpeg",
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"-i",
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"/tmp/test_audio.wav",
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"-t",
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"60",
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"-acodec",
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"pcm_s16le",
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"-ar",
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"16000",
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"-ac",
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"1",
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"-y",
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chunk_path,
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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print(f"ffmpeg return code: {result.returncode}")
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if result.returncode != 0:
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print(f"stderr: {result.stderr[:200]}")
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import os
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print(f"Chunk exists: {os.path.exists(chunk_path)}")
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if os.path.exists(chunk_path):
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print(f"Chunk size: {os.path.getsize(chunk_path)}")
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print("Transcribing chunk...")
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start = time.time()
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try:
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segments, info = model.transcribe(chunk_path, beam_size=5)
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segments = list(segments)
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elapsed = time.time() - start
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print(f"Transcription succeeded in {elapsed}s, segments: {len(segments)}")
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except Exception as e:
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print(f"Transcription failed: {e}")
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import traceback
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traceback.print_exc()
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else:
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print("Chunk not created")
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print("Script finished")
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