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Duplicate from jerryyan21/wav2lip_demo_test
Browse filesCo-authored-by: Jerry Yan <jerryyan21@users.noreply.huggingface.co>
- .gitattributes +27 -0
- README.md +38 -0
- app.py +20 -0
- examples/w2l_test_a1.wav +0 -0
- examples/w2l_test_f1.mp4 +0 -0
- packages.txt +1 -0
- requirements.txt +7 -0
- wav2lip.pth +3 -0
.gitattributes
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README.md
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---
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title: Wav2lip_demo_test
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emoji: 👀
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colorFrom: gray
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colorTo: blue
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sdk: gradio
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app_file: app.py
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pinned: false
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duplicated_from: jerryyan21/wav2lip_demo_test
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---
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# Configuration
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`title`: _string_
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Display title for the Space
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`emoji`: _string_
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Space emoji (emoji-only character allowed)
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`colorFrom`: _string_
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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`colorTo`: _string_
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Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
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`sdk`: _string_
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Can be either `gradio`, `streamlit`, or `static`
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`sdk_version` : _string_
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Only applicable for `streamlit` SDK.
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See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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`app_file`: _string_
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Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code).
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Path is relative to the root of the repository.
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`pinned`: _boolean_
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Whether the Space stays on top of your list.
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app.py
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import os
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import sys
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import gradio as gr
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os.system('git clone https://github.com/Rudrabha/Wav2Lip.git')
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os.system('curl -o ./Wav2Lip/face_detection/detection/sfd/s3fd.pth https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth')
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os.system('mv ./Wav2Lip/* .')
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title = "Wav2Lip Huggingface Interface Test"
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description = "A simple demo for Wav2Lip Official Repo"
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article = "Official Repo: https://github.com/Rudrabha/Wav2Lip"
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def inference(face, audio):
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os.system("python inference.py --checkpoint_path ./wav2lip.pth --face {} --audio {}".format(face, audio))
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return "./results/result_voice.mp4"
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iface = gr.Interface(inference, inputs=[gr.inputs.Video(type="mp4", source="upload", label="Talking Face Video (in mp4 format)", optional=False), gr.inputs.Audio(source="upload", type="filepath", label="Audio", optional=False)], outputs=["video"], title=title, description=description, article=article, examples=[["./examples/w2l_test_f1.mp4", "./examples/w2l_test_a1.wav"]], enable_queue=True)
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iface.launch()
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examples/w2l_test_a1.wav
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Binary file (1.44 MB). View file
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examples/w2l_test_f1.mp4
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Binary file (4.09 MB). View file
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packages.txt
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ffmpeg
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requirements.txt
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librosa==0.7.0
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numpy>=1.17.3
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torch==1.4.0
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torchvision==0.5.0
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tqdm>=4.45.0
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numba==0.48
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opencv-contrib-python-headless==4.1.2.30
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wav2lip.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b78b681b68ad9fe6c6fb1debc6ff43ad05834a8af8a62ffc4167b7b34ef63c37
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size 435807851
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