Update app.py

app.py

@@ -71,28 +71,28 @@ def normalize_bbox(box, width, height, padding=0.005):
     return [min_x * width, min_y * height, max_x * width, max_y * height]
 
 
-examples = [
-    [
-        "invoice.png",
-        "What is the invoice number?",
-    ],
-    [
-        "contract.jpeg",
-        "What is the purchase amount?",
-    ],
-    [
-        "statement.png",
-        "What are net sales for 2020?",
-    ],
-    #    [
-    #        "docquery.png",
-    #        "How many likes does the space have?",
-    #    ],
-    #    [
-    #        "hacker_news.png",
-    #        "What is the title of post number 5?",
-    #    ],
-]
+# examples = [
+#     [
+#         "invoice.png",
+#         "What is the invoice number?",
+#     ],
+#     [
+#         "contract.jpeg",
+#         "What is the purchase amount?",
+#     ],
+#     [
+#         "statement.png",
+#         "What are net sales for 2020?",
+#     ],
+#     #    [
+#     #        "docquery.png",
+#     #        "How many likes does the space have?",
+#     #    ],
+#     #    [
+#     #        "hacker_news.png",
+#     #        "What is the title of post number 5?",
+#     #    ],
+# ]
 
 question_files = {
     "What are net sales for 2020?": "statement.pdf",
@@ -288,15 +288,15 @@ gradio-app h2, .gradio-app h2 {
 """
 
 with gr.Blocks(css=CSS) as demo:
-    gr.Markdown("# DocQuery: Document Query Engine")
-    gr.Markdown(
-        "DocQuery (created by [Impira](https://impira.com?utm_source=huggingface&utm_medium=referral&utm_campaign=docquery_space))"
-        " uses LayoutLMv1 fine-tuned on DocVQA, a document visual question"
-        " answering dataset, as well as SQuAD, which boosts its English-language comprehension."
-        " To use it, simply upload an image or PDF, type a question, and click 'submit', or "
-        " click one of the examples to load them."
-        " DocQuery is MIT-licensed and available on [Github](https://github.com/impira/docquery)."
-    )
+    gr.Markdown("# PDFPlus")
+    # gr.Markdown(
+    #     "DocQuery (created by [Impira](https://impira.com?utm_source=huggingface&utm_medium=referral&utm_campaign=docquery_space))"
+    #     " uses LayoutLMv1 fine-tuned on DocVQA, a document visual question"
+    #     " answering dataset, as well as SQuAD, which boosts its English-language comprehension."
+    #     " To use it, simply upload an image or PDF, type a question, and click 'submit', or "
+    #     " click one of the examples to load them."
+    #     " DocQuery is MIT-licensed and available on [Github](https://github.com/impira/docquery)."
+    # )
 
     document = gr.Variable()
     example_question = gr.Textbox(visible=False)
@@ -339,7 +339,7 @@ with gr.Blocks(css=CSS) as demo:
             gr.Markdown("## 2. Ask a question")
             question = gr.Textbox(
                 label="Question",
-                placeholder="e.g. What is the invoice number?",
+                placeholder="e.g. What is the patient name?",
                 lines=1,
                 max_lines=1,
             )