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docs: add missing torch import to Python usage example in README
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@ -189,7 +189,7 @@ result = model.transcribe(audio, batch_size=batch_size)
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print(result["segments"]) # before alignment
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# delete model if low on GPU resources
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# import gc; gc.collect(); torch.cuda.empty_cache(); del model
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# import gc; import torch; gc.collect(); torch.cuda.empty_cache(); del model
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# 2. Align whisper output
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model_a, metadata = whisperx.load_align_model(language_code=result["language"], device=device)
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@ -198,7 +198,7 @@ result = whisperx.align(result["segments"], model_a, metadata, audio, device, re
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print(result["segments"]) # after alignment
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# delete model if low on GPU resources
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# import gc; gc.collect(); torch.cuda.empty_cache(); del model_a
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# import gc; import torch; gc.collect(); torch.cuda.empty_cache(); del model_a
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# 3. Assign speaker labels
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diarize_model = whisperx.diarize.DiarizationPipeline(use_auth_token=YOUR_HF_TOKEN, device=device)
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