Delete app.py

app.py

@@ -1,30 +0,0 @@
-from transformers import AutoModel, AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True)
-model = AutoModel.from_pretrained('ucaslcl/GOT-OCR2_0', trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda', use_safetensors=True, pad_token_id=tokenizer.eos_token_id)
-model = model.eval().cuda()
-
-
-# input your test image
-image_file = 'car.jpg'
-
-# plain texts OCR
-res = model.chat(tokenizer, image_file, ocr_type='ocr')
-
-# format texts OCR:
-# res = model.chat(tokenizer, image_file, ocr_type='format')
-
-# fine-grained OCR:
-# res = model.chat(tokenizer, image_file, ocr_type='ocr', ocr_box='')
-# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_box='')
-# res = model.chat(tokenizer, image_file, ocr_type='ocr', ocr_color='')
-# res = model.chat(tokenizer, image_file, ocr_type='format', ocr_color='')
-
-# multi-crop OCR:
-# res = model.chat_crop(tokenizer, image_file, ocr_type='ocr')
-# res = model.chat_crop(tokenizer, image_file, ocr_type='format')
-
-# render the formatted OCR results:
-# res = model.chat(tokenizer, image_file, ocr_type='format', render=True, save_render_file = './demo.html')
-
-print(res)