update model and update desc

app.py

@@ -9,30 +9,29 @@ def demo_process(input_img):
     # input_img = Image.fromarray(input_img)
     output = pretrained_model.inference(image=input_img, prompt=task_prompt)["predictions"][0]
     return output
-
-task_prompt = f"<s_cord-v2>"
-
-image = Image.open("./sample_image_cord_test_receipt_00004.png")
-image.save("cord_sample_receipt1.png")
-image = Image.open("./sample_image_cord_test_receipt_00012.png")
-image.save("cord_sample_receipt2.png")
-
-pretrained_model = DonutModel.from_pretrained("naver-clova-ix/donut-base-finetuned-cord-v2")
+task_name = "preparedFinetuneData"
+# task_name = "cord-v2"
+task_prompt = f"<s_{task_name}>"
+
+image = Image.open("preparedFinetuneData/test/100.jpg")
+image.save("sample_receipt1.png")
+image = Image.open("preparedFinetuneData/test/101.jpg")
+image.save("sample_receipt2.png")
+
+PATH = 'epochs30_base_on_donut_base/'
+# pretrained_model = DonutModel.from_pretrained(PATH, local_files_only=True)
+# pretrained_model = DonutModel.from_pretrained("doshan1250/p9OcrAiV1", revision="main")
+pretrained_model = DonutModel.from_pretrained("doshan1250/p9OcrAiV1")
+# pretrained_model = DonutModel.from_pretrained("naver-clova-ix/donut-base-finetuned-cord-v2")
 pretrained_model.eval()
 
 demo = gr.Interface(
     fn=demo_process,
     inputs= gr.Image(type="pil"),
     outputs="json",
-    title=f"Donut 🍩 demonstration for `cord-v2` task",
-    description="""This model is trained with 800 Indonesian receipt images of CORD dataset. <br>
-Demonstrations for other types of documents/tasks are available at https://github.com/clovaai/donut <br>
-More CORD receipt images are available at https://huggingface.co/datasets/naver-clova-ix/cord-v2
-
-More details are available at:
-- Paper: https://arxiv.org/abs/2111.15664
-- GitHub: https://github.com/clovaai/donut""",
-    examples=[["cord_sample_receipt1.png"], ["cord_sample_receipt2.png"]],
+    title=f"Donut 🍩 demonstration for `{task_name}` task",
+    description="""Goodarc p9 使用 100 個英文收據訓練. <br>""",
+    examples=[["sample_receipt1.png"], ["sample_receipt2.png"]],
     cache_examples=False,
 )