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| from dataclasses import dataclass | |
| # These classes are for user facing column names, to avoid having to change them | |
| # all around the code when a modif is needed | |
| class ColumnContent: | |
| name: str | |
| type: str | |
| def fields(raw_class): | |
| return [v for k, v in raw_class.__dict__.items() if k[:2] != "__" and k[-2:] != "__"] | |
| class AutoEvalColumn: # Auto evals column | |
| model = ColumnContent("Model", "markdown") | |
| avg_wer = ColumnContent("Average WER โฌ๏ธ", "number") | |
| rtf = ColumnContent("RTFx โฌ๏ธ๏ธ", "number") | |
| ami_wer = ColumnContent("AMI", "number") | |
| e22_wer = ColumnContent("Earnings22", "number") | |
| gs_wer = ColumnContent("Gigaspeech", "number") | |
| lsc_wer = ColumnContent("LS Clean", "number") | |
| lso_wer = ColumnContent("LS Other", "number") | |
| ss_wer = ColumnContent("SPGISpeech", "number") | |
| tl_wer = ColumnContent("Tedlium", "number") | |
| vp_wer = ColumnContent("Voxpopuli", "number") | |
| class MultilingualColumn: # Multilingual benchmark columns | |
| model = ColumnContent("Model", "markdown") | |
| avg_multilingual = ColumnContent("Average WER โฌ๏ธ", "number") | |
| rtf = ColumnContent("RTFx โฌ๏ธ๏ธ", "number") | |
| de_avg = ColumnContent("๐ฉ๐ช German", "number") | |
| fr_avg = ColumnContent("๐ซ๐ท French", "number") | |
| es_avg = ColumnContent("๐ช๐ธ Spanish", "number") | |
| it_avg = ColumnContent("๐ฎ๐น Italian", "number") | |
| nl_avg = ColumnContent("๐ณ๐ฑ Dutch", "number") | |
| pl_avg = ColumnContent("๐ต๐ฑ Polish", "number") | |
| pt_avg = ColumnContent("๐ต๐น Portuguese", "number") | |
| cs_avg = ColumnContent("๐จ๐ฟ Czech", "number") | |
| ro_avg = ColumnContent("๐ท๐ด Romanian", "number") | |
| hu_avg = ColumnContent("๐ญ๐บ Hungarian", "number") | |
| class LongformColumn: # Long-form ASR benchmark columns | |
| model = ColumnContent("Model", "markdown") | |
| avg_longform = ColumnContent("Average WER โฌ๏ธ", "number") | |
| rtf = ColumnContent("RTFx โฌ๏ธ๏ธ", "number") | |
| earnings21_wer = ColumnContent("Earnings21", "number") | |
| earnings22_wer = ColumnContent("Earnings22", "number") | |
| tedlium_wer = ColumnContent("Tedlium", "number") | |
| def make_clickable_model(model_name): | |
| model_name_list = model_name.split("/") | |
| if model_name_list[0] == "trt-llm": | |
| link = "https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/whisper" | |
| elif model_name_list[0] == "faster-whisper": | |
| link = "https://github.com/guillaumekln/faster-whisper" | |
| elif model_name_list[0] == "Whisper.cpp": | |
| link = "https://github.com/ggerganov/whisper.cpp" | |
| elif model_name_list[0] == "WhisperKit": | |
| link = "https://github.com/argmaxinc/WhisperKit" | |
| elif model_name_list[0] == "WhisperMLX": | |
| link = "https://huggingface.co/collections/mlx-community/whisper-663256f9964fbb1177db93dc" | |
| elif model_name_list[0] == "elevenlabs": | |
| link = "https://elevenlabs.io/speech-to-text" | |
| elif model_name_list[0] == "openai" and (model_name_list[1] == "whisper-1" or model_name_list[1] == "gpt-4o-transcribe" or model_name_list[1] == "gpt-4o-mini-transcribe"): | |
| link = "https://platform.openai.com/docs/guides/speech-to-text" | |
| elif model_name_list[0] == "assemblyai": | |
| link = "https://www.assemblyai.com/docs" | |
| elif model_name_list[0] == "revai": | |
| link = "https://docs.rev.ai/api/asynchronous/get-started/" | |
| elif model_name_list[0] == "speechmatics": | |
| link = "https://www.speechmatics.com/" | |
| elif model_name_list[0] == "ultravox": | |
| link = "https://huggingface.co/fixie-ai" | |
| else: | |
| link = f"https://huggingface.co/{model_name}" | |
| return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>' | |
| def styled_error(error): | |
| return f"<p style='color: red; font-size: 20px; text-align: center;'>{error}</p>" | |
| def styled_warning(warn): | |
| return f"<p style='color: orange; font-size: 20px; text-align: center;'>{warn}</p>" | |
| def styled_message(message): | |
| return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>" | |