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prithivMLmods
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Delete app.py
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app.py
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# -* coding:UTF-8 -*
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# !/usr/bin/env python
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import numpy as np
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import roop.globals
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from roop.core import (
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start,
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decode_execution_providers,
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suggest_max_memory,
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suggest_execution_threads,
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)
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from roop.processors.frame.core import get_frame_processors_modules
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from roop.utilities import normalize_output_path
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from PIL import Image
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import gradio as gr
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import os
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def swap_face(source_file, target_file):
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source_image = Image.fromarray(source_file)
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source_path = "input.jpg"
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source_image.save(source_path, format="JPEG", quality=95)
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output_path = "output.mp4"
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roop.globals.source_path = source_path
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roop.globals.target_path = target_file
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roop.globals.output_path = normalize_output_path(
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roop.globals.source_path, roop.globals.target_path, output_path
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)
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roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
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roop.globals.headless = True
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roop.globals.keep_fps = True
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roop.globals.keep_audio = True
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roop.globals.keep_frames = False
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roop.globals.many_faces = False
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roop.globals.video_encoder = "libx264"
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roop.globals.video_quality = 50
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roop.globals.max_memory = suggest_max_memory()
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roop.globals.execution_providers = decode_execution_providers(["cpu"])
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roop.globals.execution_threads = suggest_execution_threads()
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for frame_processor in get_frame_processors_modules(
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roop.globals.frame_processors
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):
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if not frame_processor.pre_check():
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return
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start()
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return os.path.join(os.getcwd(), output_path)
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app = gr.Interface(
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fn=swap_face, inputs=[gr.Image(), gr.Video()], outputs=[gr.Video()], description="This model is running on CPU an might be slow. To run in gpu, contact the space owner. To suport the space owner please: https://donate.stripe.com/3csg0D0tadXU4mYcMM"
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)
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app.launch()
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