Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -58,14 +58,32 @@ def convert_to_vtt(whisper_output):
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return vtt_output
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def
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if inputs is None:
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raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
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result = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe", "language": "et"}, return_timestamps=True)
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return convert_to_vtt(result)
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def _return_yt_html_embed(yt_url):
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video_id = yt_url.split("?v=")[-1]
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@@ -106,20 +124,14 @@ def download_yt_audio(yt_url, filename):
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except youtube_dl.utils.ExtractorError as err:
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raise gr.Error(str(err))
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def yt_transcribe(yt_url, max_filesize=75.0):
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with tempfile.TemporaryDirectory() as tmpdirname:
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filepath = os.path.join(tmpdirname, "video.mp4")
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download_yt_audio(yt_url, filepath)
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inputs = ffmpeg_read(inputs, pipe.feature_extractor.sampling_rate)
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inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
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result = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe", "language": "et"}, return_timestamps=True)
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text = convert_to_vtt(result)
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return text
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return vtt_output
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def dynamic_gpu_duration(func, duration, *args):
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# @torch.inference_mode()
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@spaces.GPU(duration=duration)
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def wrapped_func():
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yield from func(*args)
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return wrapped_func()
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def do_transcribe(inputs):
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if inputs is None:
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raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
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result = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": "transcribe", "language": "et"}, return_timestamps=True)
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return convert_to_vtt(result)
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def transcribe(file_path):
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audio_data, sampling_rate = ffmpeg_read(file_path)
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# Calculate the length in seconds
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audio_length = len(audio_data) / sampling_rate
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expected_transcribe_duration = audio_length/5.0
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gr.Info(f"Starting to transcribe, requesting a GPU for {expected_transcribe_duration} seconds")
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return dynamic_gpu_duration(do_transcribe, expected_transcribe_duration, do_transcribe)
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def _return_yt_html_embed(yt_url):
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video_id = yt_url.split("?v=")[-1]
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except youtube_dl.utils.ExtractorError as err:
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raise gr.Error(str(err))
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def yt_transcribe(yt_url, max_filesize=75.0):
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with tempfile.TemporaryDirectory() as tmpdirname:
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filepath = os.path.join(tmpdirname, "video.mp4")
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download_yt_audio(yt_url, filepath)
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text = transcribe(transcribe, filepath)
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return text
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