update

table_transformer_detection/app.py

@@ -28,19 +28,33 @@ def inference(img):
         )
 
 
-title = "object detection:table-transformer-detection"
-description = "Gradio Demo for table-transformer-detection. To use it, simply upload your image, or click one of the examples to load them."
+#title = "#object detection:table-transformer-detection"
+#description = "Gradio Demo for table-transformer-detection. To use it, simply upload your image, or click one of the examples to load them."
 article = "<p style='text-align: center'><a href='https://github.com/bryandlee/animegan2-pytorch' target='_blank'>Github Repo Pytorch</a></p> <center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_animegan' alt='visitor badge'></center></p>"
 examples=[['example_pdf.png']]
 
 
-demo = gr.Interface(
-    fn=inference,
-    inputs=[gr.inputs.Image(type="pil")],
-    outputs=gr.outputs.Textbox(),
-    title=title,
-    description=description,
-    article=article,
-    examples=examples)
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    # object detection:table-transformer-detection
+    Gradio Demo for table-transformer-detection. To use it, simply upload your image, or click one of the examples to load them.
+    """)
+    with gr.Row():
+        image_input = gr.Image(type="pil")
+        image_output = gr.Textbox()
+    image_button = gr.Button("上传")
+    image_button.click(inference, inputs=image_input, outputs=image_output)
+    gr.Examples(examples,inputs=image_input)
+
+# demo = gr.Interface(
+#     fn=inference,
+#     inputs=[gr.inputs.Image(type="pil")],
+#     outputs=gr.outputs.Textbox(),
+#     title=title,
+#     description=description,
+#     article=article,
+#     examples=examples)
+
 
 demo.launch()