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Reference links used for implementation for the harder parts:
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Gradio interface and API endpoint:
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https://www.gradio.app/docs/gradio/interface
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https://www.gradio.app/docs/gradio/audio
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https://www.gradio.app/docs/gradio/json
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Hugging Face loading models from a Hub repository/subfolder:
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https://huggingface.co/docs/transformers/main_classes/model
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https://huggingface.co/docs/transformers/main_classes/tokenizer
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https://huggingface.co/docs/transformers/model_doc/whisper
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Whisper transcription / generation:
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https://huggingface.co/docs/transformers/model_doc/whisper
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https://huggingface.co/openai/whisper-small
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https://huggingface.co/blog/fine-tune-whisper
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Seq2Seq grammar correction model inference:
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https://huggingface.co/docs/transformers/tasks/translation
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https://huggingface.co/docs/transformers/main_classes/text_generation
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https://huggingface.co/learn/nlp-course/chapter7/4
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Torch inference concepts:
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https://pytorch.org/docs/stable/generated/torch.no_grad.html
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https://pytorch.org/docs/stable/generated/torch.cuda.is_available.html
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https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.eval
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Librosa audio loading and resampling:
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https://librosa.org/doc/latest/generated/librosa.load.html
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https://librosa.org/doc/latest/tutorial.html
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Lazy loading / global model storage concept:
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https://docs.python.org/3/reference/simple_stmts.html#the-global-statement
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https://realpython.com/python-use-global-variable-in-function/
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Hugging Face warning/logging control:
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https://huggingface.co/docs/transformers/main_classes/logging
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