Kushtrim commited on
Commit
f4f8599
·
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1 Parent(s): 9e050a7

Update app.py

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Files changed (1) hide show
  1. app.py +7 -8
app.py CHANGED
@@ -39,8 +39,7 @@ def transcribe(inputs, task):
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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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  HTML_str = (
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- f'<center> <iframe width="500" height="320" src="https://www.youtube.com/embed/{
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- video_id}"> </iframe>'
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  " </center>"
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  )
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  return HTML_str
@@ -107,7 +106,7 @@ file_transcribe = gr.Interface(
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  fn=transcribe,
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  inputs=[
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  gr.Audio(sources=["upload"], type="filepath", label="Audio file"),
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- gr.Radio(choices=["transcribe", "translate"], label="Task"),
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  ],
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  outputs="text",
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
@@ -116,7 +115,7 @@ file_transcribe = gr.Interface(
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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- )
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  allow_flagging="never",
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  )
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@@ -124,7 +123,7 @@ mf_transcribe = gr.Interface(
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  fn=transcribe,
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  inputs=[
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  gr.Audio(sources=["microphone"], type="filepath"),
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- gr.Radio(choices=["transcribe", "translate"], label="Task"),
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  ],
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  outputs="text",
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
@@ -133,7 +132,7 @@ mf_transcribe = gr.Interface(
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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- )
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  allow_flagging="never",
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  )
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@@ -142,7 +141,7 @@ yt_transcribe = gr.Interface(
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  inputs=[
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  gr.Textbox(
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  lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
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- gr.Radio(choices=["transcribe", "translate"], label="Task")
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  ],
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  outputs=["html", "text"],
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
@@ -151,7 +150,7 @@ yt_transcribe = gr.Interface(
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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- )
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  allow_flagging="never",
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  )
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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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  HTML_str = (
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+ f'<center> <iframe width="500" height="320" src="https://www.youtube.com/embed/{video_id}"> </iframe>'
 
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  " </center>"
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  )
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  return HTML_str
 
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  fn=transcribe,
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  inputs=[
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  gr.Audio(sources=["upload"], type="filepath", label="Audio file"),
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+ gr.Radio(choices=["transcribe"], label="Task"),
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  ],
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  outputs="text",
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
 
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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+ ),
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  allow_flagging="never",
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  )
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  fn=transcribe,
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  inputs=[
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  gr.Audio(sources=["microphone"], type="filepath"),
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+ gr.Radio(choices=["transcribe"], label="Task"),
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  ],
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  outputs="text",
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
 
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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+ ),
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  allow_flagging="never",
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  )
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  inputs=[
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  gr.Textbox(
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  lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
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+ gr.Radio(choices=["transcribe"], label="Task")
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  ],
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  outputs=["html", "text"],
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  title="Whisper Large V3 Turbo Shqip: Transcribe Audio",
 
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  f"Whisper model [{model_id}](https://huggingface.co/{model_id}), specially adapted for the Albanian language, "
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  "powered by 🤗 Transformers. With just a click, transform microphone or audio file inputs of any length into "
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  "text with exceptional transcription quality."
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+ ),
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  allow_flagging="never",
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  )
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