Spaces:
Runtime error
Runtime error
Update app.py
#1
by mar23mar - opened
app.py
CHANGED
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@@ -1,84 +1,285 @@
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import gradio as gr
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import os, uuid, time
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from gradio_client import Client, handle_file
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from moviepy.editor import VideoFileClip
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#
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PRO_URL = f"https://marpogi.qzz.io/?{UTM}"
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def generate(input_image, input_video, gender):
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raise gr.Error("Missing source image.")
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raise gr.Error("Missing target video.")
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gender = None
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try:
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print("Starting generation...", flush=True)
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pre_video = preprocess_video(
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job = client.submit(
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input_image=handle_file(
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input_video=handle_file(pre_video),
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device="cpu",
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selector="many",
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gender=gender,
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race=None,
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order=None,
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api_name="/generate"
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)
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video_path = first.get("video") or first.get("path") if isinstance(first, dict) else first
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if not video_path:
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raise gr.Error("Could not find output video.")
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print("Generation finished.", flush=True)
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gr.Info(
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"β¨ Your preview is ready.<br>"
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"<strong>Get HD</strong>
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)
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return
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except Exception as
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print(f"Generation failed: {
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raise gr.Error(f"Generation failed: {
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import os
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import time
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import uuid
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from pathlib import Path
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from typing import Any, Optional
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import gradio as gr
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from gradio_client import Client, handle_file
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# MoviePy 2.x moved VideoFileClip out of moviepy.editor.
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try:
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from moviepy import VideoFileClip
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except ImportError:
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from moviepy.editor import VideoFileClip
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# ββ config ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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HF_TOKEN = os.environ.get("TOKEN")
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OUTPUT_DIR = Path("uploads/output").resolve()
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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client = Client(
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"leonormar009/Gen-Z",
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token=HF_TOKEN,
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download_files=str(OUTPUT_DIR),
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)
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UTM = (
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"utm_source=hugging_face_space"
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"&utm_medium=banner"
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"&utm_campaign=pro_cta"
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)
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PRO_URL = f"https://marpogi.qzz.io/?{UTM}"
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# ββ helpers βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def _get_file_path(value: Any) -> Optional[str]:
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"""
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Convert common Gradio file values to a local file path.
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Depending on the Gradio component configuration and Gradio version,
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uploaded files may be returned as a string, pathlib.Path, or dict.
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"""
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if value is None:
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return None
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if isinstance(value, (str, os.PathLike)):
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return os.fspath(value)
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if isinstance(value, dict):
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for key in ("path", "filepath", "name"):
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path = value.get(key)
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if path:
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return os.fspath(path)
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# Some Gradio versions return objects with a `path` attribute.
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path = getattr(value, "path", None)
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if path:
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return os.fspath(path)
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return None
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def _resize_clip(clip, width: int, height: int):
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"""Support both MoviePy 1.x and MoviePy 2.x APIs."""
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if hasattr(clip, "resized"): # MoviePy 2.x
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return clip.resized(new_size=(width, height))
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# MoviePy 1.x
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return clip.resize(newsize=(width, height))
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def _set_clip_fps(clip, fps: int):
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"""Support both MoviePy 1.x and MoviePy 2.x APIs."""
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if hasattr(clip, "with_fps"): # MoviePy 2.x
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return clip.with_fps(fps)
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# MoviePy 1.x
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return clip.set_fps(fps)
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def _subclip(clip, start: float, end: float):
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"""Support both MoviePy 1.x and MoviePy 2.x APIs."""
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if hasattr(clip, "subclipped"): # MoviePy 2.x
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return clip.subclipped(start, end)
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# MoviePy 1.x
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return clip.subclip(start, end)
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def preprocess_video(
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path: str,
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target_fps: int = 12,
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target_size: int = 800,
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target_len: float = 4,
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) -> str:
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"""
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Trim, resize, and re-encode a video for the remote API.
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`target_size` is applied to the video's longest edge.
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"""
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if not path or not os.path.isfile(path):
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raise ValueError(f"Input video does not exist: {path!r}")
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if target_fps <= 0:
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raise ValueError("target_fps must be greater than zero.")
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if target_size <= 0:
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raise ValueError("target_size must be greater than zero.")
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source_clip = None
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processed_clip = None
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try:
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source_clip = VideoFileClip(path)
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duration = float(source_clip.duration or 0)
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if duration <= 0:
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raise ValueError("The input video has no valid duration.")
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processed_clip = source_clip
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if duration > target_len:
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processed_clip = _subclip(processed_clip, 0, target_len)
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source_width, source_height = map(int, source_clip.size)
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if source_width >= source_height:
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new_width = target_size
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new_height = round(target_size * source_height / source_width)
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else:
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new_height = target_size
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new_width = round(target_size * source_width / source_height)
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# H.264 generally requires even dimensions.
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new_width = max(2, new_width - (new_width % 2))
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new_height = max(2, new_height - (new_height % 2))
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processed_clip = _resize_clip(
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processed_clip,
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width=new_width,
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height=new_height,
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)
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processed_clip = _set_clip_fps(processed_clip, target_fps)
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output_path = OUTPUT_DIR / f"pre_{uuid.uuid4().hex}.mp4"
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# Do not pass `verbose=False`: that argument was removed in MoviePy 2.x.
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processed_clip.write_videofile(
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str(output_path),
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codec="libx264",
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audio_codec="aac",
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fps=target_fps,
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logger=None,
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)
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return str(output_path)
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finally:
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# Closing the clips prevents leaked file handles and locked temp files.
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if processed_clip is not None:
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try:
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processed_clip.close()
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except Exception:
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pass
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if source_clip is not None and source_clip is not processed_clip:
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try:
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source_clip.close()
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except Exception:
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pass
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def _find_video_path(value: Any) -> Optional[str]:
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"""
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Extract a video path or URL from the different result formats that
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gradio_client may return.
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"""
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if value is None:
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return None
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if isinstance(value, (str, os.PathLike)):
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return os.fspath(value)
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if isinstance(value, dict):
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# The API may return {"video": ...}, {"path": ...}, or FileData.
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for key in ("video", "path", "filepath", "url", "name"):
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if key in value:
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result = _find_video_path(value[key])
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if result:
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return result
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# Handle nested result structures.
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for nested_value in value.values():
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result = _find_video_path(nested_value)
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if result:
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return result
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if isinstance(value, (list, tuple)):
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for item in value:
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result = _find_video_path(item)
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if result:
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return result
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path = getattr(value, "path", None)
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if path:
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return os.fspath(path)
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return None
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# ββ main generate βββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def generate(input_image, input_video, gender):
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image_path = _get_file_path(input_image)
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video_path = _get_file_path(input_video)
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if not image_path:
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raise gr.Error("Missing source image.")
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if not video_path:
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raise gr.Error("Missing target video.")
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pre_video = None
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try:
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print("Starting generation...", flush=True)
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pre_video = preprocess_video(video_path)
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job = client.submit(
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input_image=handle_file(image_path),
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input_video=handle_file(pre_video),
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device="cpu",
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selector="many",
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gender=None if gender == "all" else gender,
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race=None,
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order=None,
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api_name="/generate",
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)
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# result() waits for completion and propagates remote errors.
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result = job.result()
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output_video = _find_video_path(result)
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if not output_video:
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raise RuntimeError(
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f"Remote Space returned no usable output video. "
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f"Received: {result!r}"
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)
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print("Generation finished.", flush=True)
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gr.Info(
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"β¨ Your preview is ready.<br>"
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"<strong>Get HD</strong> "
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"(4Γ quality, no watermark, priority) β "
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'<a href="https://www.face-swap.co/'
|
| 259 |
+
'?utm_source=hfspace_deepfakevideo'
|
| 260 |
+
'&utm_medium=info" target="_blank" rel="noopener">'
|
| 261 |
+
"Upgrade on face-swap.co</a>",
|
| 262 |
+
duration=8,
|
| 263 |
)
|
| 264 |
|
| 265 |
+
return output_video
|
| 266 |
+
|
| 267 |
+
except gr.Error:
|
| 268 |
+
# Do not wrap an existing Gradio error a second time.
|
| 269 |
+
raise
|
| 270 |
|
| 271 |
+
except Exception as exc:
|
| 272 |
+
print(f"Generation failed: {exc}", flush=True)
|
| 273 |
+
raise gr.Error(f"Generation failed: {exc}") from exc
|
| 274 |
|
| 275 |
+
finally:
|
| 276 |
+
# The preprocessed file is only needed while submitting the job.
|
| 277 |
+
if pre_video and os.path.isfile(pre_video):
|
| 278 |
+
try:
|
| 279 |
+
os.remove(pre_video)
|
| 280 |
+
except OSError as exc:
|
| 281 |
+
print(
|
| 282 |
+
f"Warning: could not remove temporary file "
|
| 283 |
+
f"{pre_video}: {exc}",
|
| 284 |
+
flush=True,
|
| 285 |
+
)
|