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Update app.py
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app.py
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import os
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import
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import gradio as gr
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import
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from deoldify.visualize import get_video_colorizer
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#
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if not os.path.exists(
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#
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video_colorizer = get_video_colorizer()
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return
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colorized_video =
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return colorized_video
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#
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outputs=gr.Video(label="Vidéo colorisée"),
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title="Colorisation de Vidéo avec DeOldify",
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description="Téléchargez une vidéo en noir et blanc pour la coloriser.")
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import os
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import subprocess
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import gradio as gr
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from deoldify.visualize import get_image_colorizer, get_video_colorizer
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# Vérifie si le dépôt DeOldify existe, sinon le clone
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if not os.path.exists("DeOldify"):
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subprocess.run(["git", "clone", "https://github.com/jantic/DeOldify.git"])
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# Change le répertoire de travail
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os.chdir("DeOldify")
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# Crée un fichier requirements.txt
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with open("requirements.txt", "w") as f:
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f.write("\ndeoldify\ngradio\ntorch\nopencv-python\n")
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# Installe les dépendances
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subprocess.run(["pip", "install", "-r", "requirements.txt"])
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# Initialiser les colorisateurs
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image_colorizer = get_image_colorizer()
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video_colorizer = get_video_colorizer()
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def colorize_image(input_image):
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# Processer l'image d'entrée et retourner la version colorisée
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colorized_image = image_colorizer.get_transformed_image(input_image)
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return colorized_image
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def colorize_video(input_video):
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# Processer la vidéo d'entrée et retourner la version colorisée
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colorized_video = video_colorizer.get_transformed_video(input_video)
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return colorized_video
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# Créer l'interface Gradio
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image_interface = gr.Interface(fn=colorize_image, inputs="image", outputs="image", title="Colorisation d'Image")
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video_interface = gr.Interface(fn=colorize_video, inputs="video", outputs="video", title="Colorisation de Vidéo")
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# Lancer les interfaces
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image_interface.launch(share=True)
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video_interface.launch(share=True)
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