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