Upload paddleocr-vl-1.5.py with huggingface_hub

paddleocr-vl-1.5.py

@@ -418,8 +418,10 @@ def main(
     # Note: Batch processing with transformers VLMs can be unreliable,
     # so we process individually for stability
     all_outputs = []
+    logger.info("Starting image processing loop...")
 
     for i in tqdm(range(len(dataset)), desc=f"PaddleOCR-VL-1.5 {task_mode.upper()}"):
+        logger.info(f"Processing image {i+1}/{len(dataset)}...")
         try:
             # Prepare image and create message
             image = dataset[i][image_column]
@@ -454,6 +456,7 @@ def main(
             generated_ids = outputs[0, input_len:]
             result = processor.decode(generated_ids, skip_special_tokens=True)
             all_outputs.append(result.strip())
+            logger.info(f"Image {i+1} done. Output length: {len(result)} chars")
 
         except Exception as e:
             logger.error(f"Error processing image {i}: {e}")