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import gradio as gr
from transformers import AutoModel, AutoTokenizer
from PIL import Image
import torch
import os
model_name = "deepseek-ai/DeepSeek-OCR"
print("Loading tokenizer...")
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
print("Loading model...")
model = AutoModel.from_pretrained(
model_name,
trust_remote_code=True,
use_safetensors=True,
low_cpu_mem_usage=True
).cuda().eval()
def ocr_infer(image):
image.save("input.png")
prompt = "<image>\nFree OCR."
result = model.infer(
tokenizer,
prompt=prompt,
image_file="input.png",
output_path=".",
image_size=640,
crop_mode=True
)
return result["text"]
demo = gr.Interface(
fn=ocr_infer,
inputs=gr.Image(type="pil"),
outputs="text",
title="DeepSeek-OCR (HF Space)",
description="GPU OCR API"
)
demo.launch()
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