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Update app.py
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app.py
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@@ -11,11 +11,12 @@ Overview of TB-OCR:
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"""
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# check out https://huggingface.co/microsoft/Phi-3.5-vision-instruct for more details
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import torch
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from transformers import AutoModelForCausalLM, AutoProcessor
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from PIL import Image
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import requests
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model_id = "yifeihu/TB-OCR-preview-0.1"
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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@@ -27,8 +28,8 @@ model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map=DEVICE,
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trust_remote_code=True,
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torch_dtype="auto",
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#load_in_4bit=True # Optional: Load model in 4-bit mode to save memory
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)
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@@ -36,7 +37,7 @@ processor = AutoProcessor.from_pretrained(model_id,
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trust_remote_code=True,
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num_crops=16
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)
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def phi_ocr(image_url):
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question = "Convert the text to markdown format."
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image = Image.open(image_url)
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"""
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# check out https://huggingface.co/microsoft/Phi-3.5-vision-instruct for more details
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import torch, spaces
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from transformers import AutoModelForCausalLM, AutoProcessor
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from PIL import Image
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import requests
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import os
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os.system('pip install -U flash-attn')
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model_id = "yifeihu/TB-OCR-preview-0.1"
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model_id,
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device_map=DEVICE,
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trust_remote_code=True,
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torch_dtype="auto",
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_attn_implementation='flash_attention_2',
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#load_in_4bit=True # Optional: Load model in 4-bit mode to save memory
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)
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trust_remote_code=True,
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num_crops=16
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)
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@spaces.GPU
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def phi_ocr(image_url):
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question = "Convert the text to markdown format."
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image = Image.open(image_url)
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