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Browse files- app.py +149 -0
- requirements.txt +3 -0
app.py
ADDED
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import os
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import gradio as gr
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import logging
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import json
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import hashlib
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from pathlib import Path
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from fontTools.ttLib import TTFont, TTLibError
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from huggingface_hub import HfApi
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logging.basicConfig(level=logging.INFO)
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API = HfApi()
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TOKEN = os.environ.get("TOKEN", "your_token_here") # fallback for debugging
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REPO_ID = "Felix92/docTR-resource-collection"
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def get_supported_chars(font_path: Path) -> list[str]:
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try:
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font = TTFont(font_path)
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supported_chars = set()
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for table in font["cmap"].tables:
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supported_chars.update(table.cmap.keys())
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chars = [chr(code_point) for code_point in sorted(supported_chars)]
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return [char for char in chars if char.isprintable()]
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except TTLibError as e:
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logging.error(f"Error reading font file {font_path}: {e}")
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return []
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except Exception as e:
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logging.error(f"Unexpected error reading font file {font_path}: {e}")
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return []
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def get_sha256(file_path: Path) -> str:
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hash_sha256 = hashlib.sha256()
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with open(file_path, "rb") as f:
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for chunk in iter(lambda: f.read(8192), b""):
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hash_sha256.update(chunk)
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return hash_sha256.hexdigest()
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def file_exists_on_hub(file_name: str, subfolder: str) -> bool:
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files = API.list_repo_files(
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repo_id=REPO_ID,
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repo_type="dataset",
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token=TOKEN,
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)
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return any(file.startswith(f"{subfolder}/{file_name}") for file in files)
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def _upload_hub(file_path: str, subfolder: str, sha_hash: str) -> None:
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filename = f"{sha_hash}_{Path(file_path).name}"
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repo_path = f"{subfolder}/{filename}"
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API.upload_file(
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path_or_fileobj=file_path,
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path_in_repo=repo_path,
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token=TOKEN,
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repo_type="dataset",
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repo_id=REPO_ID,
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)
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logging.info(f"Uploaded {repo_path}")
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def handle_uploads(font_upload, wordlist_upload, agree):
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if not agree:
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return gr.Markdown("You must agree to the terms and conditions before proceeding."), None, None, None
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try:
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if font_upload:
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font_path = Path(font_upload)
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font_sha = get_sha256(font_path)
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if file_exists_on_hub(font_sha, "fonts"):
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return gr.update(visible=False), gr.Markdown("<div style='text-align: center;'><h3>This font was already uploaded.</h3></div>"), gr.update(value=None), gr.update(value=None)
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supported_chars = get_supported_chars(font_path)
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if not supported_chars:
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return gr.update(visible=False), gr.Markdown("<div style='text-align: center;'><h3>No supported characters found in the font file.</h3></div>"), gr.update(value=None), gr.update(value=None)
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metadata = {
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"font_name": font_path.stem,
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"supported_characters": supported_chars,
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}
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json_path = font_path.with_suffix(".json")
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with open(json_path, "w", encoding="utf-8") as f:
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json.dump(metadata, f, ensure_ascii=False, indent=2)
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json_sha = get_sha256(json_path)
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_upload_hub(str(font_path), "fonts", font_sha)
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_upload_hub(str(json_path), "fonts", json_sha)
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if wordlist_upload:
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wordlist_path = Path(wordlist_upload)
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wordlist_sha = get_sha256(wordlist_path)
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if file_exists_on_hub(wordlist_sha, "wordlists"):
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return gr.update(visible=False), gr.Markdown("<div style='text-align: center;'><h3>This wordlist was already uploaded.</h3></div>"), gr.update(value=None), gr.update(value=None)
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_upload_hub(str(wordlist_path), "wordlists", wordlist_sha)
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return gr.update(visible=False), gr.Markdown("<div style='text-align: center;'><h3>Upload was successful! You can upload another item.</h3></div>"), gr.update(value=None), gr.update(value=None)
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except Exception as e:
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logging.exception("Upload failed")
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return gr.update(visible=False), gr.Markdown(f"<div style='text-align: center;'><h3>An error occurred: {e}</h3></div>"), gr.update(value=None), gr.update(value=None)
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with gr.Blocks(fill_height=True) as demo:
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agreement_markdown = gr.Markdown(
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"""
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<div style="text-align: center;">
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<h1>File Upload Agreement</h1>
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<h3>This is a Hugging Face space for the docTR/OnnxTR community to collect wordlists and fonts for the following project/s:</h3>
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<h3><a href="https://github.com/mindee/doctr">docTR</a></h3>
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<h3><a href="https://github.com/felixdittrich92/OnnxTR">OnnxTR</a></h3>
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</div>
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<h3>The uploaded wordlists and fonts will be used to generate synthetic data.</h3>
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<h3>All uploaded files can be found here: <a href="https://huggingface.co/datasets/Felix92/docTR-resource-collection">Hugging Face dataset</a></h3>
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<br>
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<br>
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<h3>By uploading a wordlist or font, you explicitly agree to the following terms:</h3>
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<h3>1. You affirm that you are the owner or have the necessary rights to upload and share the wordlist or font.</h3>
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<h3>2. You agree that the uploaded wordlists / fonts will be made publicly available to everyone.</h3>
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<h3>3. You agree that the uploaded wordlists / fonts can be used for any purpose, including commercial use, by any third party.</h3>
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"""
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)
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agree_button = gr.Button("I Agree to the Terms and Conditions")
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agree_state = gr.State(value=False)
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with gr.Column(visible=False) as upload_section:
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success_message = gr.Markdown(visible=True)
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font_upload = gr.File(label="Upload Font File [TTF | OTF]", file_types=[".ttf", ".otf"], type="filepath")
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wordlist_upload = gr.File(label="Upload Wordlist [TXT]", file_types=[".txt"], type="filepath")
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submit_button = gr.Button("Submit")
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def toggle_agreement_visibility():
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return gr.update(visible=False), gr.update(visible=False), True, gr.update(visible=True)
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agree_button.click(fn=toggle_agreement_visibility, inputs=None, outputs=[agreement_markdown, agree_button, agree_state, upload_section])
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submit_button.click(
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fn=handle_uploads,
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inputs=[font_upload, wordlist_upload, agree_state],
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outputs=[agree_button, success_message, font_upload, wordlist_upload],
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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gradio>=5.0.0, <6.0.0
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fonttools>=4.57.0, <5.0.0
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huggingface-hub>=0.25.2, <1.0.0
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