Update app.py

app.py

@@ -18,9 +18,8 @@ clip_model = CLIPModel.from_pretrained("openai/clip-vit-large-patch14").to("cuda
 processor = CLIPProcessor.from_pretrained("openai/clip-vit-large-patch14")
 
 # Initialize Paddle's text detection model.
-# The 'use_gpu=True' parameter is crucial here to ensure it uses the GPU.
-# The model will be downloaded and loaded into GPU memory once.
-det_model = TextDetection(model_name="PP-OCRv5_server_det", use_gpu=True)
+# REMOVED the 'use_gpu=True' argument to fix the ValueError.
+det_model = TextDetection(model_name="PP-OCRv5_server_det")
 
 # Candidate language phrases for detection
 candidates = [
@@ -125,8 +124,8 @@ def ocr_pipeline(image: Image.Image) -> str:
         lang_code = lang_map.get(detected_lang, "en")
         
         # Initialize PaddleOCR with the detected language.
-        # This part will run fast as the H200 GPU accelerates the model.
-        ocr = PaddleOCR(lang=lang_code, use_gpu=True, use_angle_cls=False, use_doc_unwarping=False)
+        # REMOVED the 'use_gpu=True' argument here as well.
+        ocr = PaddleOCR(lang=lang_code, use_angle_cls=False, use_doc_unwarping=False)
         result = ocr.predict(img)
 
         # Extract text from OCR result