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yellowcandle
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a4e4751
Add Cantonese Whisper model
Browse files- Add alvanlii/whisper-small-cantonese model option to Gradio dropdown
- Update requirements.txt with necessary dependencies
app.py
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import spaces
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import gradio as gr
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# Use a pipeline as a high-level helper
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import torch
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from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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from datasets import load_dataset
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@spaces.GPU(duration=120)
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def transcribe_audio(audio):
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if audio is None:
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return "Please upload an audio file."
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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model_id = ["openai/whisper-large-v3", "alvanlii/whisper-small-cantonese"]
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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)
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# import spaces
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import gradio as gr
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# Use a pipeline as a high-level helper
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import torch
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from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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# from datasets import load_dataset
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# @spaces.GPU(duration=120)
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def transcribe_audio(audio, model_id):
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if audio is None:
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return "Please upload an audio file."
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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model = AutoModelForSpeechSeq2Seq.from_pretrained(
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model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
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)
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