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#from transformers import pipeline | |
import gradio as gr | |
#import nemo.collections.asr as nemo_asr | |
#import gradio | |
#model = pipeline("automatic-speech-recognition") | |
#model = pipeline("automatic-speech-recognition", model="openai/whisper-base.en") | |
#model = pipeline("automatic-speech-recognition", model="nvidia/parakeet-ctc-0.6b") | |
''' | |
asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(model_name="nvidia/parakeet-ctc-1.1b") | |
def transcribe_audio(mic=None, file=None): | |
if mic is not None: | |
audio = mic | |
elif file is not None: | |
audio = file | |
else: | |
return "You must either provide a mic recording or a file" | |
#transcription = model(audio)["text"] | |
transcription = asr_model(audio) | |
return transcription | |
gr.Interface( | |
fn=transcribe_audio, | |
inputs=[ | |
gr.Audio(sources="microphone", type="filepath"), | |
gr.Audio(sources="upload", type="filepath"), | |
], | |
outputs="text", | |
).launch(share=True) | |
''' | |
#gr.load("models/nvidia/parakeet-ctc-1.1b").launch() | |
#gr.load("models/openai/whisper-medium.en").launch(share=True) | |
gr.load("models/nvidia/stt_en_fastconformer_ctc_large").launch(share=True) |