Update app.py

app.py

@@ -1,11 +1,10 @@
-import spaces
-import gradio as gr
 import fitz  # PyMuPDF
 from PIL import Image
 import pytesseract
 import os
 import numpy as np
 import cv2
+import gradio as gr
 
 def clean_ocr_text(text):
     lines = text.splitlines()
@@ -22,7 +21,6 @@ def extract_text_markdown(doc, image_paths, page_index, seen_xrefs):
     elements = []
 
     page = doc[0]
-
     blocks = page.get_text("dict")["blocks"]
 
     for b in blocks:
@@ -70,9 +68,8 @@ def extract_text_markdown(doc, image_paths, page_index, seen_xrefs):
     markdown_output += "\n---\n\n"
     return markdown_output.strip()
 
-@spaces.GPU
-def convert(pdf_file):
-    doc = fitz.open(pdf_file)
+def convert(pdf_file_path):
+    doc = fitz.open(pdf_file_path)
     markdown_output = ""
     image_paths = []
     seen_xrefs = set()
@@ -131,19 +128,16 @@ def convert(pdf_file):
 
     return markdown_output.strip(), image_paths, markdown_path
 
-# Interfaz Gradio compatible
-with gr.Blocks() as demo:
-    with gr.Row():
-        pdf_input = gr.File(label="Sube tu PDF", type="filepath")
-        submit_btn = gr.Button("Procesar PDF")
-
-    # 🔄 Botón refrescar eliminado
-
-    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")
-
-    submit_btn.click(fn=convert, inputs=[pdf_input], outputs=[markdown_output, gallery_output, download_md])
-
-demo.launch()
-
+# --- Interfaz Gradio API-compatible ---
+iface = gr.Interface(
+    fn=convert,
+    inputs=gr.File(type="filepath", label="Archivo PDF"),
+    outputs=[
+        gr.Textbox(label="Markdown generado", lines=25),
+        gr.Gallery(label="Imágenes extraídas", type="file"),
+        gr.File(label="Descargar Markdown")
+    ],
+    title="Conversor PDF a Markdown"
+)
+
+iface.launch()