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import gradio as gr |
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import os, subprocess, torchaudio |
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import torch |
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from PIL import Image |
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block = gr.Blocks() |
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def pad_image(image): |
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w, h = image.size |
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if w == h: |
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return image |
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elif w > h: |
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new_image = Image.new(image.mode, (w, w), (0, 0, 0)) |
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new_image.paste(image, (0, (w - h) // 2)) |
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return new_image |
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else: |
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new_image = Image.new(image.mode, (h, h), (0, 0, 0)) |
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new_image.paste(image, ((h - w) // 2, 0)) |
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return new_image |
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def calculate(image_in, audio_in): |
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waveform, sample_rate = torchaudio.load(audio_in) |
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waveform = torch.mean(waveform, dim=0, keepdim=True) |
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torchaudio.save("/content/audio.wav", waveform, sample_rate, encoding="PCM_S", bits_per_sample=16) |
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image = Image.open(image_in) |
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image = pad_image(image) |
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image.save("image.png") |
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pocketsphinx_run = subprocess.run(['pocketsphinx', '-phone_align', 'yes', 'single', '/content/audio.wav'], check=True, capture_output=True) |
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jq_run = subprocess.run(['jq', '[.w[]|{word: (.t | ascii_upcase | sub("<S>"; "sil") | sub("<SIL>"; "sil") | sub("\\\(2\\\)"; "") | sub("\\\(3\\\)"; "") | sub("\\\(4\\\)"; "") | sub("\\\[SPEECH\\\]"; "SIL") | sub("\\\[NOISE\\\]"; "SIL")), phones: [.w[]|{ph: .t | sub("\\\+SPN\\\+"; "SIL") | sub("\\\+NSN\\\+"; "SIL"), bg: (.b*100)|floor, ed: (.b*100+.d*100)|floor}]}]'], input=pocketsphinx_run.stdout, capture_output=True) |
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with open("test.json", "w") as f: |
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f.write(jq_run.stdout.decode('utf-8').strip()) |
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os.system(f"cd /content/one-shot-talking-face && python3 -B test_script.py --img_path /content/image.png --audio_path /content/audio.wav --phoneme_path /content/test.json --save_dir /content/train") |
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return "/content/train/image_audio.mp4" |
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def one_shot(image_in,audio_in): |
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return calculate(image_in,audio_in) |
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def run(): |
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with block: |
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with gr.Group(): |
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with gr.Box(): |
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with gr.Row().style(equal_height=True): |
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image_in = gr.Image(show_label=False, type="filepath") |
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audio_in = gr.Audio(show_label=False, type='filepath') |
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video_out = gr.Video(show_label=False) |
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with gr.Row().style(equal_height=True): |
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btn = gr.Button("Generate") |
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btn.click(one_shot, inputs=[image_in, audio_in], outputs=[video_out]) |
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block.queue() |
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block.launch(server_name="0.0.0.0", server_port=7860) |
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if __name__ == "__main__": |
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run() |
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