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0a7fcda
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Parent(s):
523090a
Update app.py
Browse files
app.py
CHANGED
@@ -5,7 +5,7 @@ import pytube as pt
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from transformers import pipeline
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from huggingface_hub import model_info
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MODEL_NAME = "openai/whisper-
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device = 0 if torch.cuda.is_available() else "cpu"
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@@ -17,7 +17,12 @@ pipe = pipeline(
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)
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warn_output = ""
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if (microphone is not None) and (file_upload is not None):
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warn_output = (
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@@ -30,6 +35,8 @@ def transcribe(microphone, file_upload):
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file = microphone if microphone is not None else file_upload
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text = pipe(file)["text"]
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return warn_output + text
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@@ -44,12 +51,14 @@ def _return_yt_html_embed(yt_url):
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return HTML_str
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def yt_transcribe(yt_url):
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yt = pt.YouTube(yt_url)
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html_embed_str = _return_yt_html_embed(yt_url)
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stream = yt.streams.filter(only_audio=True)[0]
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stream.download(filename="audio.mp3")
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text = pipe("audio.mp3")["text"]
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return html_embed_str, text
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@@ -62,6 +71,7 @@ mf_transcribe = gr.Interface(
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inputs=[
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gr.inputs.Audio(source="microphone", type="filepath", optional=True),
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gr.inputs.Audio(source="upload", type="filepath", optional=True),
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],
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outputs="text",
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layout="horizontal",
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@@ -77,7 +87,7 @@ mf_transcribe = gr.Interface(
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yt_transcribe = gr.Interface(
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fn=yt_transcribe,
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inputs=[gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL")],
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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from transformers import pipeline
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from huggingface_hub import model_info
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MODEL_NAME = "openai/whisper-tiny"
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device = 0 if torch.cuda.is_available() else "cpu"
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)
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all_special_ids = pipe.tokenizer.all_special_ids
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transcribe_token_id = all_special_ids[-5]
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translate_token_id = all_special_ids[-6]
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def transcribe(microphone, file_upload, task):
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warn_output = ""
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if (microphone is not None) and (file_upload is not None):
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warn_output = (
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file = microphone if microphone is not None else file_upload
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pipe.model.config.forced_decoder_ids = [[2, translate_token_id if do_translate else transcribe_token_id]]
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text = pipe(file)["text"]
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return warn_output + text
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return HTML_str
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def yt_transcribe(yt_url, do_translate):
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yt = pt.YouTube(yt_url)
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html_embed_str = _return_yt_html_embed(yt_url)
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stream = yt.streams.filter(only_audio=True)[0]
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stream.download(filename="audio.mp3")
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pipe.model.config.forced_decoder_ids = [[2, translate_token_id if do_translate else transcribe_token_id]]
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text = pipe("audio.mp3")["text"]
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return html_embed_str, text
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inputs=[
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gr.inputs.Audio(source="microphone", type="filepath", optional=True),
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gr.inputs.Audio(source="upload", type="filepath", optional=True),
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gr.Checkbox(label="Translate?", value=False),
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],
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outputs="text",
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layout="horizontal",
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yt_transcribe = gr.Interface(
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fn=yt_transcribe,
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inputs=[gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"), gr.Checkbox(label="Translate?", value=False)],
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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