Update app.py
Browse files
app.py
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@@ -1,6 +1,19 @@
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import os
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import sys
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import xml.etree.ElementTree as ET
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os.system('git clone https://github.com/facebookresearch/av_hubert.git')
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os.chdir('/home/user/app/av_hubert')
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@@ -16,33 +29,8 @@ os.system('pip install transformers')
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os.system('pip install gradio==3.12')
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os.system('pip install numpy==1.23.3')
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sys.path.append('/home/user/app/av_hubert/avhubert')
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print(sys.path)
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print(os.listdir())
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print(sys.argv, type(sys.argv))
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sys.argv.append('dummy')
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import dlib, cv2, os
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import numpy as np
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import skvideo
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import skvideo.io
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from tqdm import tqdm
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from preparation.align_mouth import landmarks_interpolate, crop_patch, write_video_ffmpeg
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from base64 import b64encode
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import torch
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import cv2
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import tempfile
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from argparse import Namespace
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import fairseq
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from fairseq import checkpoint_utils, options, tasks, utils
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from fairseq.dataclass.configs import GenerationConfig
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from huggingface_hub import hf_hub_download
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import gradio as gr
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from pytube import YouTube
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user_dir = "/home/user/app/av_hubert/avhubert"
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utils.import_user_module(Namespace(user_dir=user_dir))
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data_dir = "/home/user/app/video"
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@@ -199,14 +187,9 @@ with demo:
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video_out])
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predict_btn = gr.Button("Predict")
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predict_btn.click(predict, [video_out], [
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text_output])
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# Download XML button
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download_xml_btn = gr.Button("Download XML")
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download_xml_btn.click(lambda: xml_output.download("transcript.xml"))
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with gr.Row():
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text_output.render()
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xml_output.render()
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demo.launch(debug=True)
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import os
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import sys
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import xml.etree.ElementTree as ET
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import gradio as gr
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import cv2
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import dlib
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import numpy as np
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import skvideo.io
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import torch
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from argparse import Namespace
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from base64 import b64encode
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from huggingface_hub import hf_hub_download
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from pytube import YouTube
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from tqdm import tqdm
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from fairseq import checkpoint_utils, tasks, utils
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from fairseq.dataclass.configs import GenerationConfig
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os.system('git clone https://github.com/facebookresearch/av_hubert.git')
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os.chdir('/home/user/app/av_hubert')
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os.system('pip install gradio==3.12')
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os.system('pip install numpy==1.23.3')
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sys.path.append('/home/user/app/av_hubert/avhubert')
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user_dir = "/home/user/app/av_hubert/avhubert"
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utils.import_user_module(Namespace(user_dir=user_dir))
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data_dir = "/home/user/app/video"
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video_out])
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predict_btn = gr.Button("Predict")
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predict_btn.click(predict, [video_out], [
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text_output, xml_output])
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with gr.Row():
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text_output.render()
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xml_output.render()
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demo.launch(debug=True)
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