Update app.py

app.py

@@ -103,14 +103,12 @@ def convert(pdf_file):
             if ocr_text.strip():
                 markdown_output += ocr_text + "\n"
 
-            # ✅ Detección limitada de imágenes embebidas (hasta 5 contornos grandes)
             try:
                 img_cv = np.array(img)
                 gray = cv2.cvtColor(img_cv, cv2.COLOR_RGB2GRAY)
                 _, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV)
                 contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
 
-                # Ordenar por área y limitar a 5 regiones grandes
                 contours = sorted(contours, key=cv2.contourArea, reverse=True)[:5]
 
                 for i, cnt in enumerate(contours):
@@ -131,27 +129,21 @@ def convert(pdf_file):
     with open(markdown_path, "w", encoding="utf-8") as f:
         f.write(markdown_output)
 
-    return markdown_output.strip(), {}, image_paths, markdown_path
+    return markdown_output.strip(), image_paths, markdown_path
 
+# Interfaz compatible con Gradio 3.x
 with gr.Blocks() as demo:
     with gr.Row():
         pdf_input = gr.File(label="Sube tu PDF", type="filepath")
         submit_btn = gr.Button("Procesar PDF")
 
-    markdown_output = gr.Textbox(label="Markdown estructurado", lines=20, interactive=True)
-
+    markdown_output = gr.Textbox(label="Markdown estructurado", lines=25, interactive=True)
     gallery_output = gr.Gallery(label="Imágenes extraídas", type="file")
     download_md = gr.File(label="Descargar .md")
 
-    with gr.Row():
-        reload_btn = gr.Button("🔄 Refrescar app")
-
-    # Procesar PDF
     submit_btn.click(fn=convert, inputs=[pdf_input], outputs=[markdown_output, gallery_output, download_md])
 
-    # Refrescar app
-    reload_btn.click(fn=None, inputs=None, outputs=None, _js="() => window.location.reload()")
+    # Recargar app (link HTML)
+    gr.HTML('<a href="" style="display:inline-block;padding:0.5em 1em;background:#eee;border-radius:4px;text-decoration:none;">🔄 Refrescar app</a>')
 
 demo.launch()
-
-