Update app.py

app.py

@@ -6,15 +6,11 @@ from PIL import Image
 from pdf2image import convert_from_path
 from donut import DonutModel
 
-def process_pdf(doc):
-    doc = os.path.join(os.getcwd(), doc)
-    img = convert_from_path(doc)[0]
-    return img
 
 def demo_process(doc):
     global model, task_prompt, task_name
-    img = process_pdf(doc)
-    output = model.inference(image=img, prompt=task_prompt)["predictions"][0]
+    output = os.getcwd() + " file " + doc
+    # output = model.inference(image=img, prompt=task_prompt)["predictions"][0]
     return output
     
 parser = argparse.ArgumentParser()
@@ -24,7 +20,7 @@ args, left_argv = parser.parse_known_args()
 task_name = args.task
 task_prompt = f"<s_{task_name}>"
 
-model = DonutModel.from_pretrained("uartimcs/donut-invoice-extract")
-model.eval()
+# model = DonutModel.from_pretrained("uartimcs/donut-invoice-extract")
+# model.eval()
 demo = gr.Interface(fn=demo_process,inputs=gr.File(label="Upload PDF"),outputs="json", title=f"Donut 🍩 demonstration for `{task_name}` task",)
 demo.launch()