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  1. README.md +5 -5
  2. app.py +47 -0
  3. gitattributes +35 -0
  4. requirements.txt +5 -0
README.md CHANGED
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  ---
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- title: Automatic Speech Recognice
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- emoji: πŸ’»
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- colorFrom: blue
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- colorTo: gray
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  sdk: gradio
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  sdk_version: 4.29.0
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  app_file: app.py
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  pinned: false
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- license: mit
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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+ title: Automatic Speech Recognititon
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+ emoji: πŸ‘€
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+ colorFrom: indigo
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+ colorTo: purple
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  sdk: gradio
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  sdk_version: 4.29.0
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  app_file: app.py
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  pinned: false
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+ license: apache-2.0
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ from transformers import pipeline
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+
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+ asr = pipeline(task="automatic-speech-recognition",
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+ model= "distil-whisper/distil-small.en")
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+
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+ import gradio as gr
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+ demo = gr.Blocks()
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+
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+ def transcribe_long_form(filepath):
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+ if filepath is None:
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+ gr.Warning("No audio found, please retry")
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+ return
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+ output = asr(filepath,
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+ max_new_tokens=256,
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+ chunk_length_s=30,
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+ batch_size=4,)
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+ return output['text']
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+
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+ mic_transcribe = gr.Interface(
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+ fn=transcribe_long_form,
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+ inputs=gr.Audio(sources="microphone",
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+ type="filepath"),
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+ outputs=gr.Textbox(label="Transcription",
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+ lines=7),
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+ allow_flagging="never",
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+ description="Speak into the microphone or upload an audio file to transcribe it into text. This model uses a state-of-the-art speech recognition algorithm to recognize spoken words and phrases")
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+
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+ file_transcribe = gr.Interface(
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+ fn=transcribe_long_form,
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+ inputs=gr.Audio(sources="upload",
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+ type="filepath"),
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+ outputs=gr.Textbox(label="Transcription",
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+ lines=7),
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+ allow_flagging="never",
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+ description="Speak into the microphone or upload an audio file to transcribe it into text. This model uses a state-of-the-art speech recognition algorithm to recognize spoken words and phrases")
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+
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+
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+
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+ with demo:
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+ gr.TabbedInterface(
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+ [mic_transcribe,
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+ file_transcribe],
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+ ["Transcribe Microphone",
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+ "Transcribe Audio File"],
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+ title="SpeechScribe - Automatic Speech Recognition"
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+ )
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+ demo.launch()
gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
requirements.txt ADDED
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+ transformers
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+ gradio
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+ soundfile
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+ librosa
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+ torch