Update app.py
Browse files
app.py
CHANGED
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@@ -34,10 +34,12 @@ pipe = pipeline(
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def 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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generate_kwargs = {"language": "japanese", "task": "transcribe"}
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return pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs=generate_kwargs)["text"]
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@@ -71,7 +73,7 @@ def download_yt_audio(yt_url, filename):
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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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html_embed_str = _return_yt_html_embed(yt_url)
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with tempfile.TemporaryDirectory() as tmpdirname:
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filepath = os.path.join(tmpdirname, "video.mp4")
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@@ -81,6 +83,8 @@ def yt_transcribe(yt_url, max_filesize=75.0):
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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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generate_kwargs = {"language": "japanese", "task": "transcribe"}
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text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs=generate_kwargs)["text"]
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return html_embed_str, text
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@@ -88,7 +92,10 @@ def yt_transcribe(yt_url, max_filesize=75.0):
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demo = gr.Blocks()
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mf_transcribe = gr.Interface(
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fn=transcribe,
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inputs=[
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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@@ -99,7 +106,10 @@ mf_transcribe = gr.Interface(
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file_transcribe = gr.Interface(
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fn=transcribe,
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inputs=[
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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@@ -109,7 +119,10 @@ file_transcribe = gr.Interface(
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)
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yt_transcribe = gr.Interface(
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fn=yt_transcribe,
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inputs=[
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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def transcribe(inputs, prompt):
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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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generate_kwargs = {"language": "japanese", "task": "transcribe"}
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if prompt:
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generate_kwargs['prompt_ids'] = pipe.tokenizer.get_prompt_ids(prompt, return_tensors='pt').to(device)
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return pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs=generate_kwargs)["text"]
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raise gr.Error(str(err))
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def yt_transcribe(yt_url, prompt, max_filesize=75.0):
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html_embed_str = _return_yt_html_embed(yt_url)
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with tempfile.TemporaryDirectory() as tmpdirname:
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filepath = os.path.join(tmpdirname, "video.mp4")
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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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generate_kwargs = {"language": "japanese", "task": "transcribe"}
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if prompt:
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generate_kwargs['prompt_ids'] = pipe.tokenizer.get_prompt_ids(prompt, return_tensors='pt').to(device)
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text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs=generate_kwargs)["text"]
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return html_embed_str, text
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demo = gr.Blocks()
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mf_transcribe = gr.Interface(
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fn=transcribe,
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inputs=[
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gr.inputs.Audio(source="microphone", type="filepath", optional=True),
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gr.inputs.Textbox(lines=1, placeholder="Prompt", value="")
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],
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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file_transcribe = gr.Interface(
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fn=transcribe,
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inputs=[
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gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio file"),
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gr.inputs.Textbox(lines=1, placeholder="Prompt", value="")
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],
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outputs="text",
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layout="horizontal",
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theme="huggingface",
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)
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yt_transcribe = gr.Interface(
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fn=yt_transcribe,
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inputs=[
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gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
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gr.inputs.Textbox(lines=1, placeholder="Prompt", value="")
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],
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outputs=["html", "text"],
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layout="horizontal",
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theme="huggingface",
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