Update app.py

app.py

@@ -1,15 +1,9 @@
-import time
-print("Pre-loading models...")
-start = time.time()
-ocr_pipe = pipeline("image-to-text", model="facebook/nougat-base")
-similarity_pipe = pipeline("feature-extraction", model="sentence-transformers/paraphrase-albert-small-v2")
-print(f"Models loaded in {time.time()-start:.2f}s")
 import gradio as gr
 import numpy as np
 from PIL import Image
 from transformers import pipeline
 
-# Load 100% open models (no Microsoft)
+
 ocr_pipe = pipeline("image-to-text", model="facebook/nougat-base")  # Best for academic handwriting
 # Alternative OCR models: "mfrashad/arabic-handwriting-ocr", "TesseractOCR"