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import gradio as gr
from transformers import DonutProcessor, VisionEncoderDecoderModel
import torch
from PIL import Image
import json
import re
MODEL_ID = "LLMTestSaurav/donut-6"
device = "cuda" if torch.cuda.is_available() else "cpu"
processor = DonutProcessor.from_pretrained(MODEL_ID)
model = VisionEncoderDecoderModel.from_pretrained(MODEL_ID).to(device)
model.eval()
def run_donut(image):
if image is None:
return {"error": "No image provided"}
image = image.convert("RGB")
pixel_values = processor(image, return_tensors="pt").pixel_values.to(device)
# pixel_values = processor(image, return_tensors="pt").pixel_values.to()
task_prompt = '<passport_front>'
decoder_input_ids = processor.tokenizer(task_prompt, add_special_tokens=False, return_tensors="pt").input_ids.to(device)
outputs = model.generate(
pixel_values=pixel_values,
decoder_input_ids=decoder_input_ids,
max_length=512,
early_stopping=True,
pad_token_id=processor.tokenizer.pad_token_id,
eos_token_id=processor.tokenizer.eos_token_id,
use_cache=True,
num_beams=1,
bad_words_ids=[[processor.tokenizer.unk_token_id]],
return_dict_in_generate=True,
)
# Decode output
sequence = processor.batch_decode(outputs.sequences)[0]
sequence = sequence.replace(processor.tokenizer.eos_token, "").replace(processor.tokenizer.pad_token, "")
sequence = re.sub(r"<.*?>", "", sequence, count=1).strip() # remove first task start token
sequence = processor.token2json(sequence)
return json.dumps(sequence, indent=2, ensure_ascii=False)
with gr.Blocks() as demo:
gr.Markdown("# Donut Sanity Check\nUpload an image → get JSON output")
inp = gr.Image(type="pil", label="Upload Document Image")
out = gr.Textbox(label="Parsed JSON", lines=20)
btn = gr.Button("Run Donut")
btn.click(run_donut, inputs=inp, outputs=out)
demo.launch()
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