Delete app.py

app.py

@@ -1,113 +0,0 @@
-"""Gradio app wrapping the official `commonforms` package to convert PDFs
-into fillable forms using jbarrow's FFDNet-L object detector (CPU ONNX).
-
-- Paper: <https://arxiv.org/abs/2509.16506>
-- Model: <https://huggingface.co/jbarrow/FFDNet-L-cpu>
-- Package: <https://pypi.org/project/commonforms/>
-
-Detecta 3 classes de campos: text boxes, checkboxes (choice buttons) e signatures.
-"""
-from __future__ import annotations
-
-import os
-
-# Força CPU antes de qualquer import que possa inicializar CUDA.
-os.environ.setdefault("CUDA_VISIBLE_DEVICES", "")
-os.environ.setdefault("NVIDIA_VISIBLE_DEVICES", "")
-
-import inspect
-import tempfile
-from pathlib import Path
-
-import gradio as gr
-from commonforms import prepare_form
-
-_PARAMS = inspect.signature(prepare_form).parameters
-print(f"[commonforms] prepare_form signature: {list(_PARAMS.keys())}")
-
-
-def detect_fields(
-    pdf_path: str | None,
-    image_size: int,
-    use_signature_fields: bool,
-    keep_existing_fields: bool,
-) -> str:
-    if not pdf_path:
-        raise gr.Error("Envie um PDF.")
-
-    src = Path(pdf_path)
-    if not src.exists():
-        raise gr.Error(f"Arquivo não encontrado: {src}")
-
-    _, out_str = tempfile.mkstemp(suffix="_fillable.pdf")
-    out = Path(out_str)
-
-    optional = {
-        "image_size": int(image_size),
-        "use_signature_fields": bool(use_signature_fields),
-        "keep_existing_fields": bool(keep_existing_fields),
-        "device": "cpu",
-        "model_or_path": "jbarrow/FFDNet-L-cpu",
-  
-        
-    }
-    accepted = {k: v for k, v in optional.items() if k in _PARAMS}
-    print(f"[commonforms] calling prepare_form with kwargs: {accepted}")
-
-    try:
-        # input/output passados posicionalmente — robusto ao nome real do param
-        prepare_form(str(src), str(out), **accepted)
-    except Exception as exc:
-        raise gr.Error(f"Falha ao processar PDF: {exc}") from exc
-
-    return str(out)
-
-
-with gr.Blocks(title="CommonForms — Form Field Detector") as demo:
-    gr.Markdown(
-        "# CommonForms — Form Field Detector\n"
-        "Converte um PDF em formulário preenchível usando **FFDNet-L** "
-        "(`jbarrow/FFDNet-L-cpu`, Object Detection ONNX em CPU). "
-        "Detecta *text boxes*, *checkboxes* e *signature fields*.\n\n"
-        "Paper: [arxiv 2509.16506](<https://arxiv.org/abs/2509.16506>)  ·  "
-        "Modelo: [jbarrow/FFDNet-L-cpu](<https://huggingface.co/jbarrow/FFDNet-L-cpu>)"
-    )
-    with gr.Row():
-        with gr.Column():
-            pdf_in = gr.File(
-                label="PDF de entrada",
-                file_types=[".pdf"],
-                type="filepath",
-            )
-            image_size = gr.Slider(
-                minimum=512,
-                maximum=2048,
-                value=1600,
-                step=32,
-                label="Image size (px)",
-                info="Tamanho usado na inferência. Maior = mais preciso, mais lento.",
-            )
-            use_sig = gr.Checkbox(
-                value=False,
-                label="Incluir signature fields",
-                info="Detecta áreas de assinatura além de text/checkbox.",
-            )
-            keep = gr.Checkbox(
-                value=False,
-                label="Manter campos já existentes",
-                info="Preserva widgets AcroForm que já estavam no PDF.",
-            )
-            btn = gr.Button("Detectar campos", variant="primary")
-        with gr.Column():
-            pdf_out = gr.File(label="PDF preenchível")
-
-    btn.click(
-        fn=detect_fields,
-        inputs=[pdf_in, image_size, use_sig, keep],
-        outputs=pdf_out,
-        api_name="detect",
-    )
-
-
-if __name__ == "__main__":
-    demo.queue(max_size=4).launch()