Add application file

app.py

@@ -1,7 +1,53 @@
 import gradio as gr
+from transformers import DonutProcessor, VisionEncoderDecoderModel
+import torch
+from PIL import Image
+import json
 
-def greet(name):
-    return "Hello " + name + "!!"
+MODEL_ID = "LLMTestSaurav/donut-base-finetuned-ind-cod-tza-rwa"
+
+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("cuda")
+    task_prompt = '<passport_front>'
+    decoder_input_ids = processor.tokenizer(task_prompt, add_special_tokens=False, return_tensors="pt").input_ids.to("cuda")
+
+    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(parsed, 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 = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()