Update app.py

app.py

@@ -72,18 +72,7 @@ def normalize_bbox(box, width, height, padding=0.005):
 
 
 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?",
@@ -95,9 +84,7 @@ examples = [
 ]
 
 question_files = {
-    "What are net sales for 2020?": "statement.pdf",
-    "How many likes does the space have?": "https://huggingface.co/spaces/impira/docquery",
-    "What is the title of post number 5?": "https://news.ycombinator.com",
+    
 }
 
 
@@ -288,15 +275,7 @@ 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)."
-    )
+   
 
     document = gr.Variable()
     example_question = gr.Textbox(visible=False)