Create app.py

app.py

@@ -0,0 +1,211 @@
+# coding: utf-8
+
+"""
+The entrance of the gradio
+"""
+
+import tyro
+import gradio as gr
+import os.path as osp
+from src.utils.helper import load_description
+from src.gradio_pipeline import GradioPipeline
+from src.config.crop_config import CropConfig
+from src.config.argument_config import ArgumentConfig
+from src.config.inference_config import InferenceConfig
+import spaces
+import cv2
+
+# import gdown
+# folder_url = f"https://drive.google.com/drive/folders/1UtKgzKjFAOmZkhNK-OYT0caJ_w2XAnib"
+# gdown.download_folder(url=folder_url, output="pretrained_weights", quiet=False)
+
+
+# import sys
+# sys.path.append('/home/user/.local/lib/python3.10/site-packages')
+# sys.path.append('/home/user/.local/lib/python3.10/site-packages/stf_alternative/src/stf_alternative')
+# sys.path.append('/home/user/.local/lib/python3.10/site-packages/stf_tools/src/stf_tools')
+# sys.path.append('/home/user/app/')
+# sys.path.append('/home/user/app/stf/')
+# sys.path.append('/home/user/app/stf/stf_alternative/')
+# sys.path.append('/home/user/app/stf/stf_alternative/src/stf_alternative')
+# sys.path.append('/home/user/app/stf/stf_tools')
+# sys.path.append('/home/user/app/stf/stf_tools/src/stf_tools')
+
+
+
+# # CUDA 경로를 환경 변수로 설정
+# os.environ['PATH'] = '/usr/local/cuda/bin:' + os.environ.get('PATH', '')
+# os.environ['LD_LIBRARY_PATH'] = '/usr/local/cuda/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
+# # 확인용 출력
+# print("PATH:", os.environ['PATH'])
+# print("LD_LIBRARY_PATH:", os.environ['LD_LIBRARY_PATH'])
+
+# from stf_utils import STFPipeline
+
+
+def partial_fields(target_class, kwargs):
+    return target_class(**{k: v for k, v in kwargs.items() if hasattr(target_class, k)})
+
+# set tyro theme
+tyro.extras.set_accent_color("bright_cyan")
+args = tyro.cli(ArgumentConfig)
+
+# specify configs for inference
+inference_cfg = partial_fields(InferenceConfig, args.__dict__)  # use attribute of args to initial InferenceConfig
+crop_cfg = partial_fields(CropConfig, args.__dict__)  # use attribute of args to initial CropConfig
+
+gradio_pipeline = GradioPipeline(
+    inference_cfg=inference_cfg,
+    crop_cfg=crop_cfg,
+    args=args
+)
+
+@spaces.GPU(duration=240)
+def gpu_wrapped_execute_video(*args, **kwargs):
+    return gradio_pipeline.execute_video(*args, **kwargs)
+
+@spaces.GPU(duration=240)
+def gpu_wrapped_execute_image(*args, **kwargs):
+    return gradio_pipeline.execute_image(*args, **kwargs)
+
+def is_square_video(video_path):
+    video = cv2.VideoCapture(video_path)
+
+    width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))
+
+    video.release()
+    if width != height:
+        raise gr.Error("Error: the video does not have a square aspect ratio. We currently only support square videos")
+
+    return gr.update(visible=True)
+
+# assets
+title_md = "assets/gradio_title.md"
+example_portrait_dir = "assets/examples/source"
+example_video_dir = "assets/examples/driving"
+data_examples = [
+    [osp.join(example_portrait_dir, "s9.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, True],
+    [osp.join(example_portrait_dir, "s6.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, True],
+    [osp.join(example_portrait_dir, "s10.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, True],
+    [osp.join(example_portrait_dir, "s5.jpg"), osp.join(example_video_dir, "d18.mp4"), True, True, True, True],
+    [osp.join(example_portrait_dir, "s7.jpg"), osp.join(example_video_dir, "d19.mp4"), True, True, True, True],
+    [osp.join(example_portrait_dir, "s22.jpg"), osp.join(example_video_dir, "d0.mp4"), True, True, True, True],
+]
+#################### interface logic ####################
+
+# Define components first
+eye_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target eyes-open ratio")
+lip_retargeting_slider = gr.Slider(minimum=0, maximum=0.8, step=0.01, label="target lip-open ratio")
+retargeting_input_image = gr.Image(type="filepath")
+output_image = gr.Image(type="numpy")
+output_image_paste_back = gr.Image(type="numpy")
+output_video = gr.Video()
+output_video_concat = gr.Video()
+
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    #gr.HTML(load_description(title_md))
+
+    with gr.Tabs():
+        with gr.Tab("Text to LipSync"):
+            gr.Markdown("# Text to LipSync")
+            with gr.Row():
+                script_txt = gr.Text()
+                
+            gr.Markdown(load_description("assets/gradio_description_upload.md"))
+            with gr.Row():
+                with gr.Accordion(open=True, label="Source Portrait"):
+                    image_input = gr.Image(type="filepath")
+                    gr.Examples(
+                        examples=[
+                            [osp.join(example_portrait_dir, "s9.jpg")],
+                            [osp.join(example_portrait_dir, "s6.jpg")],
+                            [osp.join(example_portrait_dir, "s10.jpg")],
+                            [osp.join(example_portrait_dir, "s5.jpg")],
+                            [osp.join(example_portrait_dir, "s7.jpg")],
+                            [osp.join(example_portrait_dir, "s12.jpg")],
+                            [osp.join(example_portrait_dir, "s22.jpg")],
+                        ],
+                        inputs=[image_input],
+                        cache_examples=False,
+                    )
+                with gr.Accordion(open=True, label="Driving Video"):
+                    video_input = gr.Video()
+                    gr.Examples(
+                        examples=[
+                            [osp.join(example_video_dir, "d0.mp4")],
+                            [osp.join(example_video_dir, "d18.mp4")],
+                            [osp.join(example_video_dir, "d19.mp4")],
+                            [osp.join(example_video_dir, "d14_trim.mp4")],
+                            [osp.join(example_video_dir, "d6_trim.mp4")],
+                        ],
+                        inputs=[video_input],
+                        cache_examples=False,
+                    )
+            with gr.Row():
+                with gr.Accordion(open=False, label="Animation Instructions and Options"):
+                    gr.Markdown(load_description("assets/gradio_description_animation.md"))
+                    with gr.Row():
+                        flag_relative_input = gr.Checkbox(value=True, label="relative motion")
+                        flag_do_crop_input = gr.Checkbox(value=True, label="do crop")
+                        flag_remap_input = gr.Checkbox(value=True, label="paste-back")
+            gr.Markdown(load_description("assets/gradio_description_animate_clear.md"))
+            with gr.Row():
+                with gr.Column():
+                    process_button_animation = gr.Button("🚀 Animate", variant="primary")
+                with gr.Column():
+                    process_button_reset = gr.ClearButton([image_input, video_input, output_video, output_video_concat], value="🧹 Clear")
+            with gr.Row():
+                with gr.Column():
+                    with gr.Accordion(open=True, label="The animated video in the original image space"):
+                        output_video.render()
+                with gr.Column():
+                    with gr.Accordion(open=True, label="The animated video"):
+                        output_video_concat.render()
+            with gr.Row():
+                # Examples
+                gr.Markdown("## You could also choose the examples below by one click ⬇️")
+            with gr.Row():
+                gr.Examples(
+                    examples=data_examples,
+                    fn=gpu_wrapped_execute_video,
+                    inputs=[
+                        image_input,
+                        video_input,
+                        flag_relative_input,
+                        flag_do_crop_input,
+                        flag_remap_input
+                    ],
+                    outputs=[output_image, output_image_paste_back],
+                    examples_per_page=6,
+                    cache_examples=False,
+                )
+        
+            process_button_animation.click(
+                fn=gpu_wrapped_execute_video,
+                inputs=[
+                    image_input,
+                    video_input,
+                    flag_relative_input,
+                    flag_do_crop_input,
+                    flag_remap_input
+                ],
+                outputs=[output_video, output_video_concat],
+                show_progress=True
+            )
+            # image_input.change(
+            #     fn=gradio_pipeline.prepare_retargeting,
+            #     inputs=image_input,
+            #     outputs=[eye_retargeting_slider, lip_retargeting_slider, retargeting_input_image]
+            # )
+            video_input.upload(
+                fn=is_square_video,
+                inputs=video_input,
+                outputs=video_input
+            )
+
+demo.launch(
+    server_port=args.server_port,
+    share=args.share,
+    server_name=args.server_name
+)