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import os |
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import argparse |
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from pathlib import Path |
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import pandas as pd |
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from pydantic import BaseModel, field_validator |
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IMAGE_EXT = {".jpg", ".jpeg", ".png", ".webp"} |
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VIDEO_EXT = {".mp4", ".webm", ".avi", ".mov"} |
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def clean_name(name: str) -> str: |
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return name.strip().replace(" ", "_") |
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class MemeRecord(BaseModel): |
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image_file_name: str = "" |
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video_file_name: str = "" |
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category: str |
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caption: str = "" |
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@field_validator("image_file_name", "video_file_name") |
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@classmethod |
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def normalize_path(cls, v: str) -> str: |
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return v.replace("\\", "/") if v else "" |
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@field_validator("category") |
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@classmethod |
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def normalize_category(cls, v: str) -> str: |
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return clean_name(v) |
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def main(root: Path): |
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src = root / "meme" |
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if not src.exists(): |
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raise SystemExit(f"❌ Missing folder: {src}") |
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records: list[MemeRecord] = [] |
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for category_dir in src.iterdir(): |
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if not category_dir.is_dir(): |
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continue |
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category = clean_name(category_dir.name) |
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for root_dir, _, files in os.walk(category_dir): |
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for file in files: |
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path = Path(root_dir) / file |
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ext = path.suffix.lower() |
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rel = str(path.relative_to(root)) |
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if ext in IMAGE_EXT: |
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records.append( |
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MemeRecord( |
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image_file_name=rel, |
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video_file_name="", |
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category=category |
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) |
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) |
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elif ext in VIDEO_EXT: |
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records.append( |
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MemeRecord( |
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image_file_name="", |
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video_file_name=rel, |
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category=category |
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) |
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) |
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if not records: |
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raise SystemExit("❌ No media files found") |
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df = pd.DataFrame([r.model_dump() for r in records]) |
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df.to_csv(root / "metadata.csv", index=False) |
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print(f"✔ Indexed {len(df)} files (HF streaming safe)") |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--root", type=Path, default=Path.cwd()) |
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args = parser.parse_args() |
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main(args.root) |
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