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jason-on-salt-a40 commited on
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3075679
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1 Parent(s): 9227743

updated libs for easier installation, cannot upload audio, recorded audio doesn't work

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Files changed (14) hide show
  1. README.md +5 -0
  2. app.py +3 -3
  3. data/__pycache__/__init__.cpython-310.pyc +0 -0
  4. data/__pycache__/tokenizer.cpython-310.pyc +0 -0
  5. models/__pycache__/codebooks_patterns.cpython-310.pyc +0 -0
  6. models/__pycache__/voicecraft.cpython-310.pyc +0 -0
  7. models/modules/__pycache__/__init__.cpython-310.pyc +0 -0
  8. models/modules/__pycache__/activation.cpython-310.pyc +0 -0
  9. models/modules/__pycache__/embedding.cpython-310.pyc +0 -0
  10. models/modules/__pycache__/scaling.cpython-310.pyc +0 -0
  11. models/modules/__pycache__/transformer.cpython-310.pyc +0 -0
  12. models/modules/__pycache__/utils.cpython-310.pyc +0 -0
  13. pretrained_models/giga830M.pth +3 -0
  14. requirements.txt +2 -5
README.md CHANGED
@@ -11,3 +11,8 @@ license: cc-by-nc-sa-4.0
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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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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+
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+ ```bash
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+ conda create -n voicecraft_gradio python=3.10.13
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+ pip install -r requirements.txt
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+ ```
app.py CHANGED
@@ -1,6 +1,6 @@
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  import os
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  # os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
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- # os.environ["CUDA_VISIBLE_DEVICES"] = "5" # these are only used if developping locally
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  import gradio as gr
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  import torch
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  import torchaudio
@@ -381,7 +381,7 @@ with gr.Blocks() as app:
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  with gr.Row():
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  with gr.Column(scale=2):
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- input_audio = gr.Audio(value="./demo/84_121550_000074_000000.wav", label="Input Audio", type="filepath")
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  with gr.Group():
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  original_transcript = gr.Textbox(label="Original transcript", lines=5, value=demo_original_transcript, interactive=False,
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  info="Use whisper model to get the transcript. Fix it if necessary.")
@@ -469,7 +469,7 @@ with gr.Blocks() as app:
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  inputs=[whisper_model_choice, voicecraft_model_choice],
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  outputs=[models_selector])
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- input_audio.upload(fn=update_input_audio,
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  inputs=[input_audio],
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  outputs=[prompt_end_time, edit_start_time, edit_end_time])
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  transcribe_btn.click(fn=transcribe,
 
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  import os
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  # os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
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+ # os.environ["CUDA_VISIBLE_DEVICES"] = "1" # these are only used if developping locally
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  import gradio as gr
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  import torch
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  import torchaudio
 
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  with gr.Row():
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  with gr.Column(scale=2):
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+ input_audio = gr.Audio(sources=["upload", "microphone"], value="./demo/84_121550_000074_000000.wav", label="Input Audio", type="filepath", interactive=True)
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  with gr.Group():
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  original_transcript = gr.Textbox(label="Original transcript", lines=5, value=demo_original_transcript, interactive=False,
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  info="Use whisper model to get the transcript. Fix it if necessary.")
 
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  inputs=[whisper_model_choice, voicecraft_model_choice],
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  outputs=[models_selector])
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+ input_audio.change(fn=update_input_audio,
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  inputs=[input_audio],
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  outputs=[prompt_end_time, edit_start_time, edit_end_time])
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  transcribe_btn.click(fn=transcribe,
data/__pycache__/__init__.cpython-310.pyc CHANGED
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data/__pycache__/tokenizer.cpython-310.pyc CHANGED
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models/__pycache__/codebooks_patterns.cpython-310.pyc CHANGED
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models/__pycache__/voicecraft.cpython-310.pyc CHANGED
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models/modules/__pycache__/__init__.cpython-310.pyc CHANGED
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models/modules/__pycache__/activation.cpython-310.pyc CHANGED
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models/modules/__pycache__/embedding.cpython-310.pyc CHANGED
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models/modules/__pycache__/scaling.cpython-310.pyc CHANGED
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models/modules/__pycache__/transformer.cpython-310.pyc CHANGED
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models/modules/__pycache__/utils.cpython-310.pyc CHANGED
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pretrained_models/giga830M.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2454b51575822a04d24a00f8ba78f201f916439ffa62a3c1ac0ffa5220f429e3
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+ size 3358342977
requirements.txt CHANGED
@@ -1,9 +1,6 @@
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- -e git+https://github.com/facebookresearch/audiocraft.git@c5157b5bf14bf83449c17ea1eeb66c19fb4bc7f0#egg=audiocraft
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- xformers==0.0.22
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- torchaudio==2.0.2
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- torch==2.0.1
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  phonemizer==3.2.1
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- gradio==3.50.2
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  nltk>=3.8.1
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  openai-whisper>=20231117
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  spaces
 
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+ -e git+https://github.com/facebookresearch/audiocraft.git@f83babff6b5e97f75562127c4cc8122229c8f099#egg=audiocraft
 
 
 
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  phonemizer==3.2.1
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+ gradio
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  nltk>=3.8.1
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  openai-whisper>=20231117
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  spaces