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from nemo.collections.asr.models import EncDecRNNTBPEModel | |
import gradio as gr | |
from pydub import AudioSegment | |
device = "cuda" if torch.cuda.is_available() else "cpu" | |
MODEL_NAME="nvidia/parakeet-rnnt-1.1b" | |
def get_transcripts(audio_path): | |
model = EncDecRNNTBPEModel.from_pretrained(model_name="nvidia/parakeet-rnnt-1.1b").to(device) | |
model.eval() | |
text = model.transcribe([audio_path])[0][0] | |
return text | |
article = ( | |
"<p style='text-align: center'>" | |
"<a href='https://huggingface.co/nvidia/parakeet-rnnt-1.1b' target='_blank'>ποΈ Learn more about Parakeet model</a> | " | |
"<a href='https://arxiv.org/abs/2305.05084' target='_blank'>π FastConformer paper</a> | " | |
"<a href='https://github.com/NVIDIA/NeMo' target='_blank'>π§βπ» Repository</a>" | |
"</p>" | |
) | |
examples = [ | |
["data/conversation.wav"], | |
["data/id10270_5r0dWxy17C8-00001.wav"], | |
] | |
def _return_yt_html_embed(yt_url): | |
video_id = yt_url.split("?v=")[-1] | |
HTML_str = ( | |
f'<center> <iframe width="500" height="320" src="https://www.youtube.com/embed/{video_id}"> </iframe>' | |
" </center>" | |
) | |
return HTML_str | |
def download_yt_audio(yt_url, filename): | |
info_loader = youtube_dl.YoutubeDL() | |
try: | |
info = info_loader.extract_info(yt_url, download=False) | |
except youtube_dl.utils.DownloadError as err: | |
raise gr.Error(str(err)) | |
file_length = info["duration_string"] | |
file_h_m_s = file_length.split(":") | |
file_h_m_s = [int(sub_length) for sub_length in file_h_m_s] | |
if len(file_h_m_s) == 1: | |
file_h_m_s.insert(0, 0) | |
if len(file_h_m_s) == 2: | |
file_h_m_s.insert(0, 0) | |
file_length_s = file_h_m_s[0] * 3600 + file_h_m_s[1] * 60 + file_h_m_s[2] | |
if file_length_s > YT_LENGTH_LIMIT_S: | |
yt_length_limit_hms = time.strftime("%HH:%MM:%SS", time.gmtime(YT_LENGTH_LIMIT_S)) | |
file_length_hms = time.strftime("%HH:%MM:%SS", time.gmtime(file_length_s)) | |
raise gr.Error(f"Maximum YouTube length is {yt_length_limit_hms}, got {file_length_hms} YouTube video.") | |
ydl_opts = {"outtmpl": filename, "format": "worstvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best"} | |
with youtube_dl.YoutubeDL(ydl_opts) as ydl: | |
try: | |
ydl.download([yt_url]) | |
except youtube_dl.utils.ExtractorError as err: | |
raise gr.Error(str(err)) | |
def yt_transcribe(yt_url, task, max_filesize=75.0): | |
html_embed_str = _return_yt_html_embed(yt_url) | |
with tempfile.TemporaryDirectory() as tmpdirname: | |
filepath = os.path.join(tmpdirname, "video.mp4") | |
download_yt_audio(yt_url, filepath) | |
audio = AudioSegment.from_file(filepath) | |
wav_filepath = os.path.join(tmpdirname, "audio.wav") | |
audio.export(wav_filepath, format="wav") | |
text = get_transcripts(wav_filepath) | |
return html_embed_str, text | |
demo = gr.Blocks() | |
mf_transcribe = gr.Interface( | |
fn=transcribe, | |
inputs=[ | |
gr.inputs.Audio(source="microphone", type="filepath", optional=True) | |
], | |
outputs="text", | |
layout="horizontal", | |
theme="huggingface", | |
title="Parakeet RNNT 1.1B: Transcribe Audio", | |
description=( | |
"Transcribe microphone or audio inputs with the click of a button! Demo uses the" | |
f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and NVIDIA NeMo to transcribe audio files" | |
" of arbitrary length." | |
), | |
allow_flagging="never", | |
) | |
file_transcribe = gr.Interface( | |
fn=transcribe, | |
inputs=[ | |
gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio file"), | |
], | |
outputs="text", | |
layout="horizontal", | |
theme="huggingface", | |
title="Parakeet RNNT 1.1B: Transcribe Audio", | |
description=( | |
"Transcribe microphone or audio inputs with the click of a button! Demo uses the" | |
f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and NVIDIA NeMo to transcribe audio files" | |
" of arbitrary length." | |
), | |
allow_flagging="never", | |
) | |
yt_transcribe = gr.Interface( | |
fn=yt_transcribe, | |
inputs=[ | |
gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"), | |
], | |
outputs=["html", "text"], | |
layout="horizontal", | |
theme="huggingface", | |
title="Parakeet RNNT 1.1B: Transcribe Audio", | |
description=( | |
"Transcribe microphone or audio inputs with the click of a button! Demo uses the" | |
f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and NVIDIA NeMo to transcribe audio files" | |
" of arbitrary length." | |
), | |
allow_flagging="never", | |
) | |
with demo: | |
gr.TabbedInterface([mf_transcribe, file_transcribe], ["Microphone", "Audio file"]) | |
demo.launch(enable_queue=True) |